Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role ExistsThe Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI augmented threats, sprawling collaboration surfaces, multi cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI First Ways of Working Mimecast is an AI first engineering organisation and this is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data contract stability, and evaluation coverage for AI driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. ECS Domain Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution SpaceThe role engages at the problem framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product ArtefactsThe durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural ContextEngineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without BlockingGovernance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit EconomicsInfrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every AltitudeA one page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs to be done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self Direction and Strategic Initiative A proactive self starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud native security SaaS What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers: a small, high trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Equal Opportunity Employer Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.
25/07/2026
Full time
Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role ExistsThe Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI augmented threats, sprawling collaboration surfaces, multi cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI First Ways of Working Mimecast is an AI first engineering organisation and this is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data contract stability, and evaluation coverage for AI driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. ECS Domain Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution SpaceThe role engages at the problem framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product ArtefactsThe durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural ContextEngineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without BlockingGovernance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit EconomicsInfrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every AltitudeA one page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs to be done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self Direction and Strategic Initiative A proactive self starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud native security SaaS What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers: a small, high trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Equal Opportunity Employer Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.
Senior Architect - Email & Collaboration SecurityApplylocations: Great Britain - Londontime type: Full timeposted on: Posted Todayjob requisition id: R6496 Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait.This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job.The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis.This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features.Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring Breadth Over Depth - and Knowing the Difference 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product-shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS What We Offer Impact : architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice : a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers : a small, high-trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product-shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.
25/07/2026
Full time
Senior Architect - Email & Collaboration SecurityApplylocations: Great Britain - Londontime type: Full timeposted on: Posted Todayjob requisition id: R6496 Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait.This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job.The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis.This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features.Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring Breadth Over Depth - and Knowing the Difference 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product-shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS What We Offer Impact : architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice : a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers : a small, high-trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product-shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.
Our Blend of Benefits Save for retirement and invest in your future - pension contributions (employee up to 8.75%, employer up to 14%) Share in our success with up to 10% Share Reward scheme (subject to eligibility) Private medical insurance that covers the cost of private healthcare and includes round the clock access to GP services and menopause health line 24/7 support for you and your loved ones to counselling, life coaching and information on financial, mental, and physical wellbeing Experience our exceptional brands with a generous annual product allowance, plus at least 20% discount in our staff shop Embrace work-life harmony with 60:40 hybrid working, 26 weeks' paid maternity, paternity and adoption leave, and up to five paid carers leave days a year Embrace Excellence The Senior Software Engineer role is designed for individuals with solid technical proficiency and growing expertise in key areas of software engineering. This position is for individuals ready to take on more ownership of software components and features, lead smaller technical efforts, and contribute significantly to the team's and projects' success. Reporting directly to a Principal Software Engineer, the Senior Software Engineer is part of the Global Digital Technology team responsible for developing and maintaining the websites and APIs that enable our brands to engage with their consumers and deliver elevated digital experiences. This role provides opportunities to mentor junior team members, work more autonomously, and make architectural decisions within defined areas of responsibility, while collaborating with a diverse range of stakeholders and technologies. Make an Impact Own the design, architecture, and implementation of assigned modules. Develop, maintain, and enhance scalable, high-quality software features and components. Collaborate with cross-functional teams to deliver effective technical solutions aligned with business needs. Support and mentor junior engineers through technical guidance and code reviews. Design and implement scalable, maintainable software solutions and feature enhancements. Conduct code reviews to ensure quality and adherence to best practices. Troubleshoot and resolve technical issues across the technology stack. Work closely with product, design, and engineering teams to deliver business-focused outcomes. Develop and maintain automated testing and support CI/CD processes for reliable deployments. Create and maintain technical documentation, including system architecture and API specifications. Your Talent and Skills A degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience. Strong understanding of software design patterns and principles (e.g., SOLID). Experience with database design and management (SQL, NoSQL). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and understanding of cloud-native application design. Familiarity with Agile/Scrum methodologies and version control systems like Git. Experience with using Github Copilot or similar AI assisted software development tools Behaviours: Strong problem solver who delivers effective, high quality solutions. Writes clean, maintainable code with a focus on performance and testing. Collaborates effectively across teams and communicates with impact. Takes ownership, delivers to a high standard, and supports the growth of others. Adaptable, organised, and comfortable managing priorities in a fast paced agile environment. We've put together some criteria that we think is important for this role, but don't worry if your experience and expertise isn't an exact match. If you feel that you can add value to our role and to Edrington more broadly, we would welcome your application and be eager to learn more about you. A Place For Everyone We're proud of our inclusive culture - where unique experiences, ideas and perspectives are celebrated. We want everyone to feel respected and empowered to contribute to our success. Get involved. From colleague networks like Balance, Pride and Kick Start to inclusion allies and DE&I champions, we encourage our people to be curious, get involved and help us make change happen.
25/07/2026
Full time
Our Blend of Benefits Save for retirement and invest in your future - pension contributions (employee up to 8.75%, employer up to 14%) Share in our success with up to 10% Share Reward scheme (subject to eligibility) Private medical insurance that covers the cost of private healthcare and includes round the clock access to GP services and menopause health line 24/7 support for you and your loved ones to counselling, life coaching and information on financial, mental, and physical wellbeing Experience our exceptional brands with a generous annual product allowance, plus at least 20% discount in our staff shop Embrace work-life harmony with 60:40 hybrid working, 26 weeks' paid maternity, paternity and adoption leave, and up to five paid carers leave days a year Embrace Excellence The Senior Software Engineer role is designed for individuals with solid technical proficiency and growing expertise in key areas of software engineering. This position is for individuals ready to take on more ownership of software components and features, lead smaller technical efforts, and contribute significantly to the team's and projects' success. Reporting directly to a Principal Software Engineer, the Senior Software Engineer is part of the Global Digital Technology team responsible for developing and maintaining the websites and APIs that enable our brands to engage with their consumers and deliver elevated digital experiences. This role provides opportunities to mentor junior team members, work more autonomously, and make architectural decisions within defined areas of responsibility, while collaborating with a diverse range of stakeholders and technologies. Make an Impact Own the design, architecture, and implementation of assigned modules. Develop, maintain, and enhance scalable, high-quality software features and components. Collaborate with cross-functional teams to deliver effective technical solutions aligned with business needs. Support and mentor junior engineers through technical guidance and code reviews. Design and implement scalable, maintainable software solutions and feature enhancements. Conduct code reviews to ensure quality and adherence to best practices. Troubleshoot and resolve technical issues across the technology stack. Work closely with product, design, and engineering teams to deliver business-focused outcomes. Develop and maintain automated testing and support CI/CD processes for reliable deployments. Create and maintain technical documentation, including system architecture and API specifications. Your Talent and Skills A degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience. Strong understanding of software design patterns and principles (e.g., SOLID). Experience with database design and management (SQL, NoSQL). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and understanding of cloud-native application design. Familiarity with Agile/Scrum methodologies and version control systems like Git. Experience with using Github Copilot or similar AI assisted software development tools Behaviours: Strong problem solver who delivers effective, high quality solutions. Writes clean, maintainable code with a focus on performance and testing. Collaborates effectively across teams and communicates with impact. Takes ownership, delivers to a high standard, and supports the growth of others. Adaptable, organised, and comfortable managing priorities in a fast paced agile environment. We've put together some criteria that we think is important for this role, but don't worry if your experience and expertise isn't an exact match. If you feel that you can add value to our role and to Edrington more broadly, we would welcome your application and be eager to learn more about you. A Place For Everyone We're proud of our inclusive culture - where unique experiences, ideas and perspectives are celebrated. We want everyone to feel respected and empowered to contribute to our success. Get involved. From colleague networks like Balance, Pride and Kick Start to inclusion allies and DE&I champions, we encourage our people to be curious, get involved and help us make change happen.
AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP's next generation agentic AI assistant, purpose built for strategic patent analysis. Protégé replaces complex filter based workflows with natural language questions, surfacing structured, decision ready insights grounded in trusted data and established metrics. About the role As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards. This is a senior individual contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future proof, and aligned with product strategy. Evaluate and recommend AI technologies, modelling approaches, and platform components. Stay up to date with advances in agentic AI and domain specific AI research. Translate emerging capabilities into practical architectural recommendations. Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi step analyses, and compose insights from multiple data sources. Design retrieval and search architectures that deliver accurate, low latency patent intelligence across both structured analytics and unstructured text corpora. Define patterns for AI driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. Ensure all AI systems comply with RELX Responsible AI Principles. Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non technical stakeholders. Requirements Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM based systems, including RAG pipelines, agentic/tool use frameworks, and multi step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Hands on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise grade AI systems with strong non functional requirements: security, privacy, reliability, cost governance, and observability. Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. Desirable Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. Knowledge of Responsible AI Principles. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience designing event driven, cloud native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working for you We know that your well being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. USA Job Seekers EEO Know Your Rights. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
25/07/2026
Full time
AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP's next generation agentic AI assistant, purpose built for strategic patent analysis. Protégé replaces complex filter based workflows with natural language questions, surfacing structured, decision ready insights grounded in trusted data and established metrics. About the role As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards. This is a senior individual contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future proof, and aligned with product strategy. Evaluate and recommend AI technologies, modelling approaches, and platform components. Stay up to date with advances in agentic AI and domain specific AI research. Translate emerging capabilities into practical architectural recommendations. Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi step analyses, and compose insights from multiple data sources. Design retrieval and search architectures that deliver accurate, low latency patent intelligence across both structured analytics and unstructured text corpora. Define patterns for AI driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. Ensure all AI systems comply with RELX Responsible AI Principles. Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non technical stakeholders. Requirements Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM based systems, including RAG pipelines, agentic/tool use frameworks, and multi step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Hands on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise grade AI systems with strong non functional requirements: security, privacy, reliability, cost governance, and observability. Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. Desirable Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. Knowledge of Responsible AI Principles. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience designing event driven, cloud native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long term goals. Working for you We know that your well being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. USA Job Seekers EEO Know Your Rights. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
At AKQA, we believe in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach, we design and build adaptive digital products, services and experiences that capture the imagination and deliver impressive returns for our clients. We are looking for a senior, architecture-led Principal Engineer to join our London Tech team as a Technical Lead. This is a hands on engineering role, not a strategy only or evangelism position. You will spend the majority of your time designing, building and shipping enterprise grade systems, with roughly 65 to 70% hands on delivery and 30 to 35% technical leadership, architecture and team guidance. You will lead the technical direction of complex client programmes across MACH architectures and production Generative AI; spanning Design to Code workflows, solution design and API contracts through to cloud infrastructure, deployment and ongoing operation. You will own architecture decisions, write and review production code, and mentor engineers, while remaining accountable for what ships, not just what is proposed. Production Generative AI experience is essential. You must have at least three years' experience working with Generative AI, and have delivered at least one AI capability into a live, enterprise environment; not limited to prototypes, proofs of concept or demo builds. We need engineers who understand retrieval pipelines, evaluation, cost, governance and operational reliability at scale. AKQA is advanced in Design Systems and Design to Code practice; from Figma design systems through to UI development and application delivery. Generative AI is increasingly embedded across this design-to-application workflow, accelerating the path from design intent to production ready code and experiences. The Principal Engineer (Tech Lead) is a key technical contributor across the programme lifecycle, working closely with Technical Managers, cross-discipline teams and on shore, off shore and hybrid engineering squads. This role sits at Principal or Staff Engineer seniority, aligned with our Technical Managers and Technical Architects in scope and influence. While client facing and influential, the role is technologist first. You may occasionally support pre sales scoping or technical pitches, but your primary value is deep engineering craft, sound system design and reliable enterprise delivery. Technical architecture and hands on engineering capability are mandatory. Based in London (Farringdon), in a hybrid working environment, frequently collaborating with our global studios and partners, you will enjoy working in a team of highly skilled people, all with strong opinions about various technologies, frameworks and approaches. You will articulate your ideas to colleagues effectively whilst also taking on board the ideas of others and remaining solutions focused. You will thrive when faced with new challenges, view them as opportunities and constantly look to improve client offerings. You will work in a progressive environment that fosters a meritocratic culture, surrounded by some of the brightest minds in their fields. As a Principal Engineer (Tech Lead) at AKQA, you will be inspired by technology and have a passion for building robust, scalable solutions that perform in production. ROLE REQUIREMENTS Generative AI and Intelligent Experience Architecture Minimum three years' experience with Generative AI, including proven experience shipping at least one AI solution to production in an enterprise context (beyond prototypes or sandbox experiments) AI architecture for experience platforms: system design for intelligent products and services, including RAG, GraphRAG, agent orchestration and proximity / relevance evaluation Hands on implementation with Vercel AI SDK, Vercel AI Cloud and agentic cloud patterns for production AI experiences AI content and data engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design Integration across cloud AI services (e.g. GCP + Vertex AI, Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API led landscape; with preference for GCP and Vercel, or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval AI cost value analysis, observability, governance, testing and evaluation frameworks for production systems Practical application of Generative AI to marketing and experience challenges; e.g. personalisation, content generation, campaign optimisation; with measurable production outcomes Design Systems and Design to Code Design to Code workflow: advanced Design Systems thinking; experience bridging design intent through to UI development and production application builds Generative AI in the design-to-application process: applying Gen AI to accelerate, validate and quality assure the path from design to shippable code and experiences Design and delivery tooling: experience with Figma, Cursor, Claude and Vercel v0 advantageous Platform, Architecture and Engineering MACH architecture: microservices, API first, cloud native and headless composition; minimum eight years' experience designing and delivering MACH based enterprise platforms Cloud platforms: deep hands on experience across GCP and Vercel, with strong capability on AWS and/or Microsoft Azure; infrastructure design, security and operational ownership, and the ability to draw parallels across cloud providers API design: RESTful and GraphQL APIs, contract first design, versioning, gateway patterns and integration across SaaS, CMS, DXP and MarTech stacks Distributed systems and event driven architecture: messaging, async workflows, resilience patterns, idempotency and at scale system behaviour Backend and platform engineering: advanced server side development (Python recommended; additional languages a plus), service design and performance optimisation Infrastructure as Code and CI/CD: automated build, test and deployment pipelines (e.g. Terraform, GitHub Actions, Azure DevOps, GitLab) Cloud and edge hosting: GCP, Vercel, AWS, Azure, Netlify and related deployment models Front end integration literacy: HTML, CSS, JavaScript and js + React; mobile technologies (SwiftUI, Kotlin, Flutter or React Native) advantageous CMS, DXPs, MarTech and SaaS integration in complex enterprise landscapes; including headless CMS platforms such as Contentful, Sanity, ContentStack or similar Workflow and delivery tooling: GitHub, Bitbucket, GitLab, Atlassian, Azure DevOps, CI/CD cloud functions or similar Automation, quality assurance and non functional requirements: security, performance, reliability and maintainability QUALITIES AND CHARACTERISTICS Must be from a senior engineering, platform or architecture background; Principal, Staff or equivalent depth of hands on experience Builder first mindset: you lead by doing, with architecture informed by what you have shipped in production A continuous improvement approach to engineering practice and team ways of working Proactive self starter with acute attention to detail and drive for improvement Practically minded: excellent work in production matters more than abstract thought leadership Advocate for improvements to processes, quality, security and operational excellence Analytical, creative and positive mindset with a personable and professional approach Sharp attention to detail and a passion for new technology, staying abreast with the latest developments in the industry Professional written and verbal communication Able to explain complex technical decisions to non technical audiences (clients, stakeholders and team members) Champion continuous improvement and best in class software development processes Contribute to technical discovery and be proactive in proposing engineering solutions to needs that other disciplines may not be aware of. RECENT GENERATIVE AI WORK A selection of recent Generative AI work from across AKQA: Google: Bringing emotion and intuition back to online shopping Netflix: It's What's Inside - The Game Nike: Never Done Evolving Explore our extensive range of benefits. We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach including required in office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. AKQA is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
25/07/2026
Full time
At AKQA, we believe in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach, we design and build adaptive digital products, services and experiences that capture the imagination and deliver impressive returns for our clients. We are looking for a senior, architecture-led Principal Engineer to join our London Tech team as a Technical Lead. This is a hands on engineering role, not a strategy only or evangelism position. You will spend the majority of your time designing, building and shipping enterprise grade systems, with roughly 65 to 70% hands on delivery and 30 to 35% technical leadership, architecture and team guidance. You will lead the technical direction of complex client programmes across MACH architectures and production Generative AI; spanning Design to Code workflows, solution design and API contracts through to cloud infrastructure, deployment and ongoing operation. You will own architecture decisions, write and review production code, and mentor engineers, while remaining accountable for what ships, not just what is proposed. Production Generative AI experience is essential. You must have at least three years' experience working with Generative AI, and have delivered at least one AI capability into a live, enterprise environment; not limited to prototypes, proofs of concept or demo builds. We need engineers who understand retrieval pipelines, evaluation, cost, governance and operational reliability at scale. AKQA is advanced in Design Systems and Design to Code practice; from Figma design systems through to UI development and application delivery. Generative AI is increasingly embedded across this design-to-application workflow, accelerating the path from design intent to production ready code and experiences. The Principal Engineer (Tech Lead) is a key technical contributor across the programme lifecycle, working closely with Technical Managers, cross-discipline teams and on shore, off shore and hybrid engineering squads. This role sits at Principal or Staff Engineer seniority, aligned with our Technical Managers and Technical Architects in scope and influence. While client facing and influential, the role is technologist first. You may occasionally support pre sales scoping or technical pitches, but your primary value is deep engineering craft, sound system design and reliable enterprise delivery. Technical architecture and hands on engineering capability are mandatory. Based in London (Farringdon), in a hybrid working environment, frequently collaborating with our global studios and partners, you will enjoy working in a team of highly skilled people, all with strong opinions about various technologies, frameworks and approaches. You will articulate your ideas to colleagues effectively whilst also taking on board the ideas of others and remaining solutions focused. You will thrive when faced with new challenges, view them as opportunities and constantly look to improve client offerings. You will work in a progressive environment that fosters a meritocratic culture, surrounded by some of the brightest minds in their fields. As a Principal Engineer (Tech Lead) at AKQA, you will be inspired by technology and have a passion for building robust, scalable solutions that perform in production. ROLE REQUIREMENTS Generative AI and Intelligent Experience Architecture Minimum three years' experience with Generative AI, including proven experience shipping at least one AI solution to production in an enterprise context (beyond prototypes or sandbox experiments) AI architecture for experience platforms: system design for intelligent products and services, including RAG, GraphRAG, agent orchestration and proximity / relevance evaluation Hands on implementation with Vercel AI SDK, Vercel AI Cloud and agentic cloud patterns for production AI experiences AI content and data engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design Integration across cloud AI services (e.g. GCP + Vertex AI, Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API led landscape; with preference for GCP and Vercel, or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval AI cost value analysis, observability, governance, testing and evaluation frameworks for production systems Practical application of Generative AI to marketing and experience challenges; e.g. personalisation, content generation, campaign optimisation; with measurable production outcomes Design Systems and Design to Code Design to Code workflow: advanced Design Systems thinking; experience bridging design intent through to UI development and production application builds Generative AI in the design-to-application process: applying Gen AI to accelerate, validate and quality assure the path from design to shippable code and experiences Design and delivery tooling: experience with Figma, Cursor, Claude and Vercel v0 advantageous Platform, Architecture and Engineering MACH architecture: microservices, API first, cloud native and headless composition; minimum eight years' experience designing and delivering MACH based enterprise platforms Cloud platforms: deep hands on experience across GCP and Vercel, with strong capability on AWS and/or Microsoft Azure; infrastructure design, security and operational ownership, and the ability to draw parallels across cloud providers API design: RESTful and GraphQL APIs, contract first design, versioning, gateway patterns and integration across SaaS, CMS, DXP and MarTech stacks Distributed systems and event driven architecture: messaging, async workflows, resilience patterns, idempotency and at scale system behaviour Backend and platform engineering: advanced server side development (Python recommended; additional languages a plus), service design and performance optimisation Infrastructure as Code and CI/CD: automated build, test and deployment pipelines (e.g. Terraform, GitHub Actions, Azure DevOps, GitLab) Cloud and edge hosting: GCP, Vercel, AWS, Azure, Netlify and related deployment models Front end integration literacy: HTML, CSS, JavaScript and js + React; mobile technologies (SwiftUI, Kotlin, Flutter or React Native) advantageous CMS, DXPs, MarTech and SaaS integration in complex enterprise landscapes; including headless CMS platforms such as Contentful, Sanity, ContentStack or similar Workflow and delivery tooling: GitHub, Bitbucket, GitLab, Atlassian, Azure DevOps, CI/CD cloud functions or similar Automation, quality assurance and non functional requirements: security, performance, reliability and maintainability QUALITIES AND CHARACTERISTICS Must be from a senior engineering, platform or architecture background; Principal, Staff or equivalent depth of hands on experience Builder first mindset: you lead by doing, with architecture informed by what you have shipped in production A continuous improvement approach to engineering practice and team ways of working Proactive self starter with acute attention to detail and drive for improvement Practically minded: excellent work in production matters more than abstract thought leadership Advocate for improvements to processes, quality, security and operational excellence Analytical, creative and positive mindset with a personable and professional approach Sharp attention to detail and a passion for new technology, staying abreast with the latest developments in the industry Professional written and verbal communication Able to explain complex technical decisions to non technical audiences (clients, stakeholders and team members) Champion continuous improvement and best in class software development processes Contribute to technical discovery and be proactive in proposing engineering solutions to needs that other disciplines may not be aware of. RECENT GENERATIVE AI WORK A selection of recent Generative AI work from across AKQA: Google: Bringing emotion and intuition back to online shopping Netflix: It's What's Inside - The Game Nike: Never Done Evolving Explore our extensive range of benefits. We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach including required in office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. AKQA is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Senior Data Manager 90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value? This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss. What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value. Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation. Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes. Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design. Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice. What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level. We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value. Eligibility for UK Security Clearance (SC). Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
25/07/2026
Full time
Senior Data Manager 90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value? This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss. What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value. Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation. Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes. Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design. Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice. What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level. We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value. Eligibility for UK Security Clearance (SC). Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - City Quays - Belfast Group Overview The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.The Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview: TP ICAP has Partnered with Amazon Web Services (AWS) to build the Next Generation of the Fusion Platform and make it Global Market Infrastructure. This role will be working in a new team to build out a new Platform based on the latest technology and architecture. You will be working alongside AWS and learning from the best. As a Senior Engineer you will be responsible for demonstrating excellent technical competencies with a desire to improve and mentor junior members of the team. You will take responsibility for your assigned work by taking ownership of the design, development testing and deployment of software across the team, and work closely with the Principal Engineer, Architects and Leads to ensure the successful deployment into production environments. Role Responsibilities: Be able to drive engineering improvements whilst communicating principles behind your work to other team members and the wider organisation. Be proactive in supporting the team's engagement in a well-defined SDLC that supports planning, prioritisation and delivery needs. Support the team in leading conversations around estimation by leveraging previous experience, challenging requirements and fostering potential solutions. Lead conversations around software systems to enable meaningful conversations about wider system architecture with Engineers. Evolve systems towards target state architecture by refactoring and prioritisation of deliveries. Essential/Desired Criteria: Essential: 5+ years of demonstrable industry experience as a Full Stack or Front/Backend Engineer in Typescript in a professional environment. Front-end skills + Proficient in HTML5, CSS3, and Typescript + Proficient in React, Redux, ReactQuery + Experience with modern JavaScript frameworks - React + Knowledge of version control systems (Git) + Understanding of cross-browser compatibility + Familiarity with RESTful APIs, GraphQL and Websockets + Experience with CSS pre-processors e.g. Tailwind Back-end skills + Proficiency in backend programming languages (Typescript and/or other OOP language such as c#/Java) + Strong database knowledge (SQL and NoSQL) + Proficiency with RESTful APIs and GraphQL APIs and Websockets + Experience with microservices architecture + Knowledge of version control systems (Git) + Experience with Terraform + Experience with automated testing + Experience with AWS (AWS Lambda, AWS Fargate, Amazon API Gateway, AWS AppSync) Worked within an Agile Cross-functional delivery team. Developing well tested software into low latency event driven production environments. Full software development lifecycle in a technical role. Pub/Sub patterns with Messaging technologies (such as SOLACE/AMQP) Worked within a technical platform team, delivering reusable services across multiple agile projects. Microservice Architecture. Containerization. Maintaining code quality with Unit, Integration and e2e testing. AWS cloud ecosystem and the AWS CLI (or industry equivalent). Linux shell or Windows PowerShell. CI and CD flows within an enterprise environment. Continuous Delivery Agile tooling to support team delivery, such as JIRA and other project management systems. Open to innovative ideas/ experiences and ability to create new ideas, approaches or insights. Seeks opportunities for improvements. Demonstrates high levels of energy in seeking out and achieving new goals. Can work with BA's/PO's to demystify ambiguity, handle challenge, and is comfortable to challenge team mates constructively. Adapts communication style to suit audience. Works ethically and shows respect for both professional and company values. Excellent attention to detail, highly organised with a proactive approach. Strong analytical ability and innovative problem solving skills. Software Design Patterns. Source control (Git). Desired: OOP SOLID Principles. Demonstrable experience of C# (.Net 8+) in a professional environment. Contribution to open-source projects. Experience of regulatory driven projects. Knowledge of Financial Markets, Systems and Over the Counter (OTC) products.The Fusion Platform Team Builds, Owns and Runs it's own services all the way through to Production. The services are used 24/5 by several teams. As part of a global team, there may be times when you are asked to assist with production incidents or support outside regular hours to maintain operational stability. Band & Level - Manager, 6 Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.
24/07/2026
Full time
Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - City Quays - Belfast Group Overview The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.The Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview: TP ICAP has Partnered with Amazon Web Services (AWS) to build the Next Generation of the Fusion Platform and make it Global Market Infrastructure. This role will be working in a new team to build out a new Platform based on the latest technology and architecture. You will be working alongside AWS and learning from the best. As a Senior Engineer you will be responsible for demonstrating excellent technical competencies with a desire to improve and mentor junior members of the team. You will take responsibility for your assigned work by taking ownership of the design, development testing and deployment of software across the team, and work closely with the Principal Engineer, Architects and Leads to ensure the successful deployment into production environments. Role Responsibilities: Be able to drive engineering improvements whilst communicating principles behind your work to other team members and the wider organisation. Be proactive in supporting the team's engagement in a well-defined SDLC that supports planning, prioritisation and delivery needs. Support the team in leading conversations around estimation by leveraging previous experience, challenging requirements and fostering potential solutions. Lead conversations around software systems to enable meaningful conversations about wider system architecture with Engineers. Evolve systems towards target state architecture by refactoring and prioritisation of deliveries. Essential/Desired Criteria: Essential: 5+ years of demonstrable industry experience as a Full Stack or Front/Backend Engineer in Typescript in a professional environment. Front-end skills + Proficient in HTML5, CSS3, and Typescript + Proficient in React, Redux, ReactQuery + Experience with modern JavaScript frameworks - React + Knowledge of version control systems (Git) + Understanding of cross-browser compatibility + Familiarity with RESTful APIs, GraphQL and Websockets + Experience with CSS pre-processors e.g. Tailwind Back-end skills + Proficiency in backend programming languages (Typescript and/or other OOP language such as c#/Java) + Strong database knowledge (SQL and NoSQL) + Proficiency with RESTful APIs and GraphQL APIs and Websockets + Experience with microservices architecture + Knowledge of version control systems (Git) + Experience with Terraform + Experience with automated testing + Experience with AWS (AWS Lambda, AWS Fargate, Amazon API Gateway, AWS AppSync) Worked within an Agile Cross-functional delivery team. Developing well tested software into low latency event driven production environments. Full software development lifecycle in a technical role. Pub/Sub patterns with Messaging technologies (such as SOLACE/AMQP) Worked within a technical platform team, delivering reusable services across multiple agile projects. Microservice Architecture. Containerization. Maintaining code quality with Unit, Integration and e2e testing. AWS cloud ecosystem and the AWS CLI (or industry equivalent). Linux shell or Windows PowerShell. CI and CD flows within an enterprise environment. Continuous Delivery Agile tooling to support team delivery, such as JIRA and other project management systems. Open to innovative ideas/ experiences and ability to create new ideas, approaches or insights. Seeks opportunities for improvements. Demonstrates high levels of energy in seeking out and achieving new goals. Can work with BA's/PO's to demystify ambiguity, handle challenge, and is comfortable to challenge team mates constructively. Adapts communication style to suit audience. Works ethically and shows respect for both professional and company values. Excellent attention to detail, highly organised with a proactive approach. Strong analytical ability and innovative problem solving skills. Software Design Patterns. Source control (Git). Desired: OOP SOLID Principles. Demonstrable experience of C# (.Net 8+) in a professional environment. Contribution to open-source projects. Experience of regulatory driven projects. Knowledge of Financial Markets, Systems and Over the Counter (OTC) products.The Fusion Platform Team Builds, Owns and Runs it's own services all the way through to Production. The services are used 24/5 by several teams. As part of a global team, there may be times when you are asked to assist with production incidents or support outside regular hours to maintain operational stability. Band & Level - Manager, 6 Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.
As we continue to accelerate the transformation of our technology and services, we are placing security and compliance at the heart of our engineering and platforms. This is an opportunity to lead at the intersection of infrastructure engineering, identity security, and AI-shaping how teams across the firm build and govern technology at scale. As a Principal Software Engineer at JPMorganChase within Infrastructure Platforms Engineering & AI Practices, you will help design and build platforms and shared services that meet our access, compliance, and governance requirements so that we are always secure from the start. Your focus will be to collaborate with teams across our organization to ensure that our platforms and applications define and leverage patterns and solutions consistently to meet evolving requirements for infrastructure identity and security requirements in an AI-enabled environment. This role is suited to a senior engineer who has hands on skills to lead across multiple teams-defining architecture, engineering practices and standards, and delivering high-impact software that scales. Job responsibilities Architect and build governance-by-design patterns and libraries that embed policy controls, approvals, and evidence collection Create standards and tooling (CLI, SDKs, libraries, templates, automated checks) that make it easy to adopt and evidence compliant identity solutions across diverse platforms and services Partner with platform owners to ensure that continuous compliance reporting is embedded in the systems we build and consume Integrate AI capabilities so that our standard patterns include agent ready identity constructs and can leverage AI where useful for reporting and review Drive engineering excellence through design reviews, reference architectures, coding standards, performance benchmarking, and reliability engineering practices as part of existing governance processes Coach and grow engineers, providing technical guidance and fostering a culture of quality, ownership, and continuous improvement Work closely with identity architects, platform engineers, and risk and control partners to ensure we leverage best in class solutions and embed them in our development practices and tools Architects and governs agentic AI enabled engineering workflows (using enterprise authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise authorized AI assisted development and automation capabilities, to improve the value realized by automation at scale Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and expert applied experience Professional software engineering experience with ownership of complex, production grade systems in large enterprise environments Proficiency in programming languages such as Python, Java, C++, Go, or Scala Experience using AI assistants in software engineering including agentic capabilities Experience developing engineering practices across teams, including identity and security engineering patterns and standards Understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance Experience influencing leaders and engineers across large organizations to drive pattern adoption and reuse Experience designing and operating distributed systems or internal platforms used by multiple teams Strong technical communication and stakeholder management skills Demonstrated experience designing and leading adoption of agentic AI enabled development practices (using enterprise authorized tools within the work environment) across teams, including setting standards for human in the loop validation, auditability/traceability of changes, and secure handling of sensitive data Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk based governance; ability to influence senior technical leaders on safe scaling patterns and reuse Preferred qualifications, capabilities, and skills Experience delivering systems with auditability, traceability, and compliance requirements in regulated environments Ability to influence architecture decisions and collaborate effectively across teams
24/07/2026
Full time
As we continue to accelerate the transformation of our technology and services, we are placing security and compliance at the heart of our engineering and platforms. This is an opportunity to lead at the intersection of infrastructure engineering, identity security, and AI-shaping how teams across the firm build and govern technology at scale. As a Principal Software Engineer at JPMorganChase within Infrastructure Platforms Engineering & AI Practices, you will help design and build platforms and shared services that meet our access, compliance, and governance requirements so that we are always secure from the start. Your focus will be to collaborate with teams across our organization to ensure that our platforms and applications define and leverage patterns and solutions consistently to meet evolving requirements for infrastructure identity and security requirements in an AI-enabled environment. This role is suited to a senior engineer who has hands on skills to lead across multiple teams-defining architecture, engineering practices and standards, and delivering high-impact software that scales. Job responsibilities Architect and build governance-by-design patterns and libraries that embed policy controls, approvals, and evidence collection Create standards and tooling (CLI, SDKs, libraries, templates, automated checks) that make it easy to adopt and evidence compliant identity solutions across diverse platforms and services Partner with platform owners to ensure that continuous compliance reporting is embedded in the systems we build and consume Integrate AI capabilities so that our standard patterns include agent ready identity constructs and can leverage AI where useful for reporting and review Drive engineering excellence through design reviews, reference architectures, coding standards, performance benchmarking, and reliability engineering practices as part of existing governance processes Coach and grow engineers, providing technical guidance and fostering a culture of quality, ownership, and continuous improvement Work closely with identity architects, platform engineers, and risk and control partners to ensure we leverage best in class solutions and embed them in our development practices and tools Architects and governs agentic AI enabled engineering workflows (using enterprise authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise authorized AI assisted development and automation capabilities, to improve the value realized by automation at scale Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and expert applied experience Professional software engineering experience with ownership of complex, production grade systems in large enterprise environments Proficiency in programming languages such as Python, Java, C++, Go, or Scala Experience using AI assistants in software engineering including agentic capabilities Experience developing engineering practices across teams, including identity and security engineering patterns and standards Understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance Experience influencing leaders and engineers across large organizations to drive pattern adoption and reuse Experience designing and operating distributed systems or internal platforms used by multiple teams Strong technical communication and stakeholder management skills Demonstrated experience designing and leading adoption of agentic AI enabled development practices (using enterprise authorized tools within the work environment) across teams, including setting standards for human in the loop validation, auditability/traceability of changes, and secure handling of sensitive data Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk based governance; ability to influence senior technical leaders on safe scaling patterns and reuse Preferred qualifications, capabilities, and skills Experience delivering systems with auditability, traceability, and compliance requirements in regulated environments Ability to influence architecture decisions and collaborate effectively across teams
We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you'll realise this is a modern software engineering environment, because it has to be. We've made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. Why join us We're a 150+ year-old business that operates on an incredible scale. There's data from our 10 million+ Nectar users, days like Black Friday that make Argos the 3rd biggest website in the UK, and supply chain integration that gets the right products to the right locations on time, every time. The technology we use is modern, scalable and constantly evolving, whether we're in the cloud deploying over 1,000 microservices into AWS, Azure and GCP, or streaming billions of messages on Kafka and building event based solutions. This is where you can broaden your technical knowledge and help solve complex problems while using your Agile skills to develop our long lived teams. As a Staff Engineer, you'll help us bring together those complex horizontal outcomes that go beyond a single team and area, working with engineers and 3rd parties to deliver high quality and well designed solutions. What you'll be doing Work with the Head of Engineering and Engineering Managers to shape technical priorities and reduce ambiguity, acting as a technical backbone to ensure balanced decisions across architecture, delivery, service and cost. Lead design reviews for complex data solutions, ensuring decisions are secure, scalable, cost conscious, observable and aligned to platform standards. Create and evolve reusable engineering patterns for ingestion, transformation, orchestration, data quality, reconciliation, testing, monitoring, alerting and access control. Coach engineers and senior engineers through pairing, design critique, code review, incident learning, technical storytelling and pragmatic problem solving. Act as a bridge between engineering, product, architecture, data governance, security, BI Hub, Data & Analytics, and strategic partners so that outcomes are technically coherent and commercially sensible. Support the Definition of Ready process by helping teams clarify technical feasibility, dependencies, risks, data requirements, non functional requirements and route to build evidence before quarterly planning commitments are made. Stay close to delivery where your expertise makes the biggest difference: critical migrations, platform adoption, data quality improvements, incident prevention, supplier/service issues or strategically important customer data capabilities. Key Responsibilities Design and implement end to end data solutions that align with business objectives while adhering to best practices in data management and database performance. Define and communicate technical direction across multiple squads. Challenge local decisions where they create unnecessary complexity, risk, duplicated capability or long term support burden. Raise the quality bar for data products through clear ownership, robust testing, reconciliation, observability, lineage, documentation, performance and supportability. Collaborate with cross functional teams to address security, GDPR, PII handling, role based access, auditability and data governance are designed in from the start, not added later. Champion Sainsbury's engineering standards, aligned autonomy and community practice; turn standards into practical patterns teams can adopt, improving resilience through monitoring, alerting, support runbooks, incident learning, data quality checks, cost controls and proactive simplification. More about you Strong practical experience designing and operating modern data platforms, pipelines and services across batch, streaming and event driven patterns. Deep understanding of engineering practice: clean design, testing strategy, CI/CD, infrastructure as code, observability, performance, security, incident response and DevSecOps. Experience with cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role based access, privacy, GDPR/PII handling and data governance controls. Ability to reason about trade offs across cost, performance, resilience, supportability, delivery risk and strategic fit. Awareness of retail and customer data trends, including personalisation, customer identity, data products, BI modernisation, AI enabled insight and responsible data use. You can influence without authority and bring people with you, even when priorities differ across squads, products, architecture and partners. You make technical decisions easier for others by framing the options, evidence, risks and recommended path in plain English. You raise standards without becoming a blocker; you know when to insist on the right pattern and when to make a pragmatic trade off safely. You care about delivery and service, not just design. You follow through from idea to production, support, measurement and continuous improvement. You coach with care and directness, helping engineers build confidence and judgement rather than simply giving them answers. You are curious about the wider technology landscape and can connect external engineering trends to Sainsbury's scale and customer context. What you could do in future There's a lot of scope for widening your skills in this role, because it allows you to move into different areas, cover lots of ground and really broaden your understanding of how the business works. When you want to take the next step up, a Principal Engineer role would help you build on everything that you've already learned and achieved. Your technical understanding will still be in play, but it'll be as much about looking upwards and outwards - thinking about strategy and where we should be going and solving problems right across the technical organisation. In return You'll enjoy all this and more: Flexible working - tailored approach to balance your working from home and collaboration in the office, sensible freedom to shape your week and day working hours, offices in different locations Colleague discount acrossourbrands - Sainsbury's, Argos and Habitat Health cover Holiday allowance Bonus scheme Pension plan Special offers on gym memberships, restaurants, holidays, retail vouchers and more We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 20% of salary (which may vary for Nectar360), depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).
24/07/2026
Full time
We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you'll realise this is a modern software engineering environment, because it has to be. We've made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. Why join us We're a 150+ year-old business that operates on an incredible scale. There's data from our 10 million+ Nectar users, days like Black Friday that make Argos the 3rd biggest website in the UK, and supply chain integration that gets the right products to the right locations on time, every time. The technology we use is modern, scalable and constantly evolving, whether we're in the cloud deploying over 1,000 microservices into AWS, Azure and GCP, or streaming billions of messages on Kafka and building event based solutions. This is where you can broaden your technical knowledge and help solve complex problems while using your Agile skills to develop our long lived teams. As a Staff Engineer, you'll help us bring together those complex horizontal outcomes that go beyond a single team and area, working with engineers and 3rd parties to deliver high quality and well designed solutions. What you'll be doing Work with the Head of Engineering and Engineering Managers to shape technical priorities and reduce ambiguity, acting as a technical backbone to ensure balanced decisions across architecture, delivery, service and cost. Lead design reviews for complex data solutions, ensuring decisions are secure, scalable, cost conscious, observable and aligned to platform standards. Create and evolve reusable engineering patterns for ingestion, transformation, orchestration, data quality, reconciliation, testing, monitoring, alerting and access control. Coach engineers and senior engineers through pairing, design critique, code review, incident learning, technical storytelling and pragmatic problem solving. Act as a bridge between engineering, product, architecture, data governance, security, BI Hub, Data & Analytics, and strategic partners so that outcomes are technically coherent and commercially sensible. Support the Definition of Ready process by helping teams clarify technical feasibility, dependencies, risks, data requirements, non functional requirements and route to build evidence before quarterly planning commitments are made. Stay close to delivery where your expertise makes the biggest difference: critical migrations, platform adoption, data quality improvements, incident prevention, supplier/service issues or strategically important customer data capabilities. Key Responsibilities Design and implement end to end data solutions that align with business objectives while adhering to best practices in data management and database performance. Define and communicate technical direction across multiple squads. Challenge local decisions where they create unnecessary complexity, risk, duplicated capability or long term support burden. Raise the quality bar for data products through clear ownership, robust testing, reconciliation, observability, lineage, documentation, performance and supportability. Collaborate with cross functional teams to address security, GDPR, PII handling, role based access, auditability and data governance are designed in from the start, not added later. Champion Sainsbury's engineering standards, aligned autonomy and community practice; turn standards into practical patterns teams can adopt, improving resilience through monitoring, alerting, support runbooks, incident learning, data quality checks, cost controls and proactive simplification. More about you Strong practical experience designing and operating modern data platforms, pipelines and services across batch, streaming and event driven patterns. Deep understanding of engineering practice: clean design, testing strategy, CI/CD, infrastructure as code, observability, performance, security, incident response and DevSecOps. Experience with cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role based access, privacy, GDPR/PII handling and data governance controls. Ability to reason about trade offs across cost, performance, resilience, supportability, delivery risk and strategic fit. Awareness of retail and customer data trends, including personalisation, customer identity, data products, BI modernisation, AI enabled insight and responsible data use. You can influence without authority and bring people with you, even when priorities differ across squads, products, architecture and partners. You make technical decisions easier for others by framing the options, evidence, risks and recommended path in plain English. You raise standards without becoming a blocker; you know when to insist on the right pattern and when to make a pragmatic trade off safely. You care about delivery and service, not just design. You follow through from idea to production, support, measurement and continuous improvement. You coach with care and directness, helping engineers build confidence and judgement rather than simply giving them answers. You are curious about the wider technology landscape and can connect external engineering trends to Sainsbury's scale and customer context. What you could do in future There's a lot of scope for widening your skills in this role, because it allows you to move into different areas, cover lots of ground and really broaden your understanding of how the business works. When you want to take the next step up, a Principal Engineer role would help you build on everything that you've already learned and achieved. Your technical understanding will still be in play, but it'll be as much about looking upwards and outwards - thinking about strategy and where we should be going and solving problems right across the technical organisation. In return You'll enjoy all this and more: Flexible working - tailored approach to balance your working from home and collaboration in the office, sensible freedom to shape your week and day working hours, offices in different locations Colleague discount acrossourbrands - Sainsbury's, Argos and Habitat Health cover Holiday allowance Bonus scheme Pension plan Special offers on gym memberships, restaurants, holidays, retail vouchers and more We are committed to being a truly inclusive retailer so you'll be welcomed whoever you are and wherever you work. Around here, there's always the chance to try something new - whether that's as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 20% of salary (which may vary for Nectar360), depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).
AI ArchitectApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114908 AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team - LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards.This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities: Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy. Evaluate and recommend AI technologies, modelling approaches, and platform components. Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations. Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi-step analyses, and compose insights from multiple data sources. Design retrieval and search architectures that deliver accurate, low-latency patent intelligence across both structured analytics and unstructured text corpora. Define patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. Ensure all AI systems comply with RELX Responsible AI Principles. Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders. Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise-grade AI systems with strong non-functional requirements: security, privacy, reliability, cost governance, and observability. Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. Desirable- Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. Knowledge of Responsible AI Principles. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience designing event-driven, cloud-native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
24/07/2026
Full time
AI ArchitectApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114908 AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team - LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows.Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: As an AI Architect you will be the technical authority for the AI systems that power Protégé within PatentSight+. You will work across the full stack, from agentic layer down, ensuring every layer is coherent, scalable, secure, and aligned with RELX Responsible AI standards.This is a senior individual-contributor role with broad influence. You will partner closely with Engineering Leads, Product Managers, Data Scientists, and data teams within LNIP. Key Responsibilities: Define and own the AI architecture vision for Protégé in PatentSight+, ensuring technical decisions are coherent, future-proof, and aligned with product strategy. Evaluate and recommend AI technologies, modelling approaches, and platform components. Stay up to date with advances in agentic AI and domain-specific AI research. Translate emerging capabilities into practical architectural recommendations. Author and maintain Architecture Decision Records (ADRs) and system design documentation, providing a clear and durable record of technical choices and their rationale. Architect the agentic reasoning systems that enable Protégé to decompose complex patent questions, plan multi-step analyses, and compose insights from multiple data sources. Design retrieval and search architectures that deliver accurate, low-latency patent intelligence across both structured analytics and unstructured text corpora. Define patterns for AI-driven enrichment and classification of patent data at scale, ensuring results are dependable, auditable, and consistent with established IP metrics. Establish prompt engineering standards, evaluation harnesses, and quality frameworks to govern LLM behaviour and maintain output accuracy in production. Partner with Product Management to assess technical feasibility and shape the AI roadmap, translating product goals into deliverable system designs. Collaborate with Security and Platform teams to ensure AI systems meet enterprise requirements for access control, data privacy, and regulatory compliance. Ensure all AI systems comply with RELX Responsible AI Principles. Lead AI risk assessment activities, contributing to compliance with applicable regulatory frameworks. Communicate complex architectural decisions clearly to senior leadership, engineering teams, and non-technical stakeholders. Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge of C# or equivalent compiled language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks, and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ability to design enterprise-grade AI systems with strong non-functional requirements: security, privacy, reliability, cost governance, and observability. Experience communicating complex architectural decisions through written documents, diagrams, and presentations to diverse audiences. Desirable- Background in the intellectual property, legal technology, or scientific information domain; familiarity with patent data structures and classification systems. Knowledge of Responsible AI Principles. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience designing event-driven, cloud-native architectures using Kafka (or equivalent streaming platforms), including topic design, schema governance, and consumer patterns. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
JOB DESCRIPTION As we continue to accelerate the transformation of our technology and services, we are placing security and compliance at the heart of our engineering and platforms. This is an opportunity to lead at the intersection of infrastructure engineering, identity security, and AI shaping how teams across the firm build and govern technology at scale. As a Principal Software Engineer at JPMorganChase within Infrastructure Platforms Engineering & AI Practices, you will help design and build platforms and shared services that meet our access, compliance, and governance requirements so that we are always secure from the start. Your focus will be to collaborate with teams across our organization to ensure that our platforms and applications define and leverage patterns and solutions consistently to meet evolving requirements for infrastructure identity and security requirements in an AI-enabled environment. This role is suited to a senior engineer who has hands on skills to lead across multiple teams defining architecture, engineering practices and standards, and delivering high impact software that scales. Job responsibilities Architect and build governance by design patterns and libraries that embed policy controls, approvals, and evidence collection Create standards and tooling (CLI, SDKs, libraries, templates, automated checks) that make it easy to adopt and evidence compliant identity solutions across diverse platforms and services Partner with platform owners to ensure that continuous compliance reporting is embedded in the systems we build and consume Integrate AI capabilities so that our standard patterns include agent ready identity constructs and can leverage AI where useful for reporting and review Drive engineering excellence through design reviews, reference architectures, coding standards, performance benchmarking, and reliability engineering practices as part of existing governance processes Coach and grow engineers, providing technical guidance and fostering a culture of quality, ownership, and continuous improvement Work closely with identity architects, platform engineers, and risk and control partners to ensure we leverage best in class solutions and embed them in our development practices and tools Architects and governs agentic AI enabled engineering workflows (using enterprise authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise authorized AI assisted development and automation capabilities, to improve the value realized by automation at scale Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and expert applied experience Professional software engineering experience with ownership of complex, production grade systems in large enterprise environments Proficiency in programming languages such as Python, Java, C++, Go, or Scala Experience using AI assistants in software engineering including agentic capabilities Experience developing engineering practices across teams, including identity and security engineering patterns and standards Understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance Experience influencing leaders and engineers across large organizations to drive pattern adoption and reuse Experience designing and operating distributed systems or internal platforms used by multiple teams Strong technical communication and stakeholder management skills Demonstrated experience designing and leading adoption of agentic AI enabled development practices (using enterprise authorized tools within the work environment) across teams, including setting standards for human in the loop validation, auditability/traceability of changes, and secure handling of sensitive data Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk based governance; ability to influence senior technical leaders on safe scaling patterns and reuse Preferred qualifications, capabilities, and skills Experience delivering systems with auditability, traceability, and compliance requirements in regulated environments Ability to influence architecture decisions and collaborate effectively across teams ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
24/07/2026
Full time
JOB DESCRIPTION As we continue to accelerate the transformation of our technology and services, we are placing security and compliance at the heart of our engineering and platforms. This is an opportunity to lead at the intersection of infrastructure engineering, identity security, and AI shaping how teams across the firm build and govern technology at scale. As a Principal Software Engineer at JPMorganChase within Infrastructure Platforms Engineering & AI Practices, you will help design and build platforms and shared services that meet our access, compliance, and governance requirements so that we are always secure from the start. Your focus will be to collaborate with teams across our organization to ensure that our platforms and applications define and leverage patterns and solutions consistently to meet evolving requirements for infrastructure identity and security requirements in an AI-enabled environment. This role is suited to a senior engineer who has hands on skills to lead across multiple teams defining architecture, engineering practices and standards, and delivering high impact software that scales. Job responsibilities Architect and build governance by design patterns and libraries that embed policy controls, approvals, and evidence collection Create standards and tooling (CLI, SDKs, libraries, templates, automated checks) that make it easy to adopt and evidence compliant identity solutions across diverse platforms and services Partner with platform owners to ensure that continuous compliance reporting is embedded in the systems we build and consume Integrate AI capabilities so that our standard patterns include agent ready identity constructs and can leverage AI where useful for reporting and review Drive engineering excellence through design reviews, reference architectures, coding standards, performance benchmarking, and reliability engineering practices as part of existing governance processes Coach and grow engineers, providing technical guidance and fostering a culture of quality, ownership, and continuous improvement Work closely with identity architects, platform engineers, and risk and control partners to ensure we leverage best in class solutions and embed them in our development practices and tools Architects and governs agentic AI enabled engineering workflows (using enterprise authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise authorized AI assisted development and automation capabilities, to improve the value realized by automation at scale Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and expert applied experience Professional software engineering experience with ownership of complex, production grade systems in large enterprise environments Proficiency in programming languages such as Python, Java, C++, Go, or Scala Experience using AI assistants in software engineering including agentic capabilities Experience developing engineering practices across teams, including identity and security engineering patterns and standards Understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance Experience influencing leaders and engineers across large organizations to drive pattern adoption and reuse Experience designing and operating distributed systems or internal platforms used by multiple teams Strong technical communication and stakeholder management skills Demonstrated experience designing and leading adoption of agentic AI enabled development practices (using enterprise authorized tools within the work environment) across teams, including setting standards for human in the loop validation, auditability/traceability of changes, and secure handling of sensitive data Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk based governance; ability to influence senior technical leaders on safe scaling patterns and reuse Preferred qualifications, capabilities, and skills Experience delivering systems with auditability, traceability, and compliance requirements in regulated environments Ability to influence architecture decisions and collaborate effectively across teams ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins - big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! We are seeking a versatile and highly skilled Principal Software Engineer who can work seamlessly across our frontend and backend services-from designing highly performant, intuitive modern user interfaces to building robust API services, Model Context Protocol (MCP) services, and autonomous AI agents. In this role, you will lead the architecture, design, and deployment of scalable Generative AI solutions, ensuring seamless integration into our core planning workflows. This is a unique role requiring deep software engineering expertise across both frontend and backend development, combined with hands on experience building production ready GenAI features. You will bridge the gap between backend APIs, custom MCP services, agentic workflows, and responsive modern user interfaces to deliver intelligent, automated planning experiences for our global customers. Your Impact Technical Leadership & System Architecture: Architect, design, and deploy scalable Generative AI solutions, autonomous AI agents, and full stack services (frontends and backend services) into production environments. End to End GenAI Development: Build comprehensive GenAI features including backend API services, custom tools, LLM model integration, and evaluation harnesses. AI Agents & MCP Integration: Design, build, and maintain Model Context Protocol (MCP) servers and services that securely expose backend data and enterprise tools to agentic AI workflows. Implement robust orchestration, tool calling capabilities, and multi agent coordination. Full Stack Engineering: Drive best practices across our full stack, guiding the development of responsive frontend applications (React/TypeScript) and robust, scalable backend services (Python, Java, Kotlin, or Node.js). LLM Observability & Reliability: Establish robust LLM observability, evaluations, and caching, implementing latency optimisations and comprehensive monitoring (logging, usage tracking, agent behaviour). Operational Excellence: Champion high availability, performance optimisation, and observability across frontends and backend microservices, focusing on practices that maintain platform reliability and optimise MTTD and MTTR. Mentorship & Collaboration: Elevate the engineering organisation by mentoring senior and junior engineers, conducting rigorous code and system design reviews, and partnering with product managers to translate product visions into actionable technical roadmaps. Qualifications Experience: Extensive professional software engineering experience, with a proven track record of delivering complex, high quality technical projects in a senior or principal role. AI & Agentic Production Exposure: Deep hands on experience designing, deploying, and scaling agentic AI workflows, tool integrations, and GenAI features in production environments. Full Stack Expertise: High proficiency in modern frontend frameworks (specifically React and TypeScript) and robust backend development languages (Python, Java/Kotlin, or Node.js). GenAI & MCP Knowledge: Deep understanding of LLM APIs, prompt engineering, agentic/multi agent architectures, and building/consuming Model Context Protocol (MCP) services. System Observability & Quality: Strong experience with application observability, logging, and performance monitoring across distributed backend systems and frontend applications. Communication & Collaboration: Exceptional communication skills with a demonstrated ability to collaborate across engineering, product, and design teams to take ideas from prototype to production. Agentic Tools & Frameworks: Hands on experience with agent orchestration frameworks and integrating AI agents with enterprise platforms. Observability Tooling: Experience with GenAI observability and evaluation tools. Industry Domain: Previous experience in Enterprise Performance Management (EPM), financial planning, business analytics, or related enterprise SaaS environments. Community Contributions: Contributions to open source agent frameworks, MCP servers, or published research in distributed systems or Generative AI. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence.
24/07/2026
Full time
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins - big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! We are seeking a versatile and highly skilled Principal Software Engineer who can work seamlessly across our frontend and backend services-from designing highly performant, intuitive modern user interfaces to building robust API services, Model Context Protocol (MCP) services, and autonomous AI agents. In this role, you will lead the architecture, design, and deployment of scalable Generative AI solutions, ensuring seamless integration into our core planning workflows. This is a unique role requiring deep software engineering expertise across both frontend and backend development, combined with hands on experience building production ready GenAI features. You will bridge the gap between backend APIs, custom MCP services, agentic workflows, and responsive modern user interfaces to deliver intelligent, automated planning experiences for our global customers. Your Impact Technical Leadership & System Architecture: Architect, design, and deploy scalable Generative AI solutions, autonomous AI agents, and full stack services (frontends and backend services) into production environments. End to End GenAI Development: Build comprehensive GenAI features including backend API services, custom tools, LLM model integration, and evaluation harnesses. AI Agents & MCP Integration: Design, build, and maintain Model Context Protocol (MCP) servers and services that securely expose backend data and enterprise tools to agentic AI workflows. Implement robust orchestration, tool calling capabilities, and multi agent coordination. Full Stack Engineering: Drive best practices across our full stack, guiding the development of responsive frontend applications (React/TypeScript) and robust, scalable backend services (Python, Java, Kotlin, or Node.js). LLM Observability & Reliability: Establish robust LLM observability, evaluations, and caching, implementing latency optimisations and comprehensive monitoring (logging, usage tracking, agent behaviour). Operational Excellence: Champion high availability, performance optimisation, and observability across frontends and backend microservices, focusing on practices that maintain platform reliability and optimise MTTD and MTTR. Mentorship & Collaboration: Elevate the engineering organisation by mentoring senior and junior engineers, conducting rigorous code and system design reviews, and partnering with product managers to translate product visions into actionable technical roadmaps. Qualifications Experience: Extensive professional software engineering experience, with a proven track record of delivering complex, high quality technical projects in a senior or principal role. AI & Agentic Production Exposure: Deep hands on experience designing, deploying, and scaling agentic AI workflows, tool integrations, and GenAI features in production environments. Full Stack Expertise: High proficiency in modern frontend frameworks (specifically React and TypeScript) and robust backend development languages (Python, Java/Kotlin, or Node.js). GenAI & MCP Knowledge: Deep understanding of LLM APIs, prompt engineering, agentic/multi agent architectures, and building/consuming Model Context Protocol (MCP) services. System Observability & Quality: Strong experience with application observability, logging, and performance monitoring across distributed backend systems and frontend applications. Communication & Collaboration: Exceptional communication skills with a demonstrated ability to collaborate across engineering, product, and design teams to take ideas from prototype to production. Agentic Tools & Frameworks: Hands on experience with agent orchestration frameworks and integrating AI agents with enterprise platforms. Observability Tooling: Experience with GenAI observability and evaluation tools. Industry Domain: Previous experience in Enterprise Performance Management (EPM), financial planning, business analytics, or related enterprise SaaS environments. Community Contributions: Contributions to open source agent frameworks, MCP servers, or published research in distributed systems or Generative AI. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence.
Senior Software Engineer (Back-End)Applylocations: Belfasttime type: Full timeposted on: Posted 3 Days Agojob requisition id: R5500The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview As a Senior Software Engineer at TP ICAP, you will play a key role in delivering business-critical software solutions supporting the internal broking division and its external client base.You will operate within an Agile, cross-functional environment, contributing across the full software development lifecycle-from design through to implementation and post-release support. The role emphasises engineering excellence, continuous improvement, and scalable delivery, with a strong focus on automation, continuous integration, and deployment. Role Responsibilities Collaborate with Architects and Principal Engineers to design and deliver solutions aligned with the broader IT strategy and architectural vision. Take ownership of the design, development, and delivery of key features, ensuring high-quality outcomes and timely completion. Partner closely with QA to ensure robust testing practices and the consistent delivery of high-quality, defect-free software. Champion engineering best practices, including unit testing, code reviews, and maintainable design principles. Leverage AI-enabled development tools (e.g. Copilot, code assistants, automation tooling) to enhance productivity, code quality, and delivery velocity-within enterprise risk and control frameworks. Contribute to continuous improvement by evaluating and adopting appropriate technologies, tools, and methodologies. Design and deliver solutions that meet both functional and non-functional requirements (e.g. performance, scalability, resilience). Support and mentor junior team members, fostering a collaborative and high-performing team environment. Proactively communicate progress, risks, and dependencies, escalating impediments early to minimise delivery impact. Experience / Competences Essential Extensive experience (5+ years) as a Senior Software Engineer within a complex, delivery-focused environment. Strong expertise in .NET (C#) across modern .NET Framework and .NET Core environments. Proven experience developing distributed, real-time systems and designing scalable system components. Solid experience with relational databases (e.g. MS SQL Server, MySQL), including schema design and optimisation. Proficiency in WPF application development. Hands-on experience with event-driven and asynchronous messaging architectures. Experience working with cloud platforms (preferably AWS), including deployment and management of cloud-based services. Strong understanding of CI/CD pipelines, version control (GitHub/GitLab), and package management. Working knowledge of Agile methodologies and collaborative delivery across geographically distributed teams. Demonstrable understanding of AI capabilities and limitations in software engineering, with the ability to apply these responsibly within enterprise governance frameworks. Strong problem-solving skills, with a proactive, detail-oriented, and delivery-focused mindset. Ability to critically evaluate and challenge design decisions to drive optimal technical outcomes. Experience delivering proofs of concept (POCs) to validate technical approaches. Competence in writing test tools, technical documentation, and supporting maintainable systems.Desired Experience within financial services/trading platforms and understanding of financial markets. Knowledge of the FIX protocol and experience managing FIX connectivity. Exposure to Java and/or JavaScript. Deeper expertise in AWS services, including serverless architectures and microservices. Experience with TDD, BDD, or similar engineering practices for defining and validating requirements. Band & Level Manager / 6 Not The Perfect Fit? Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us. Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - City Quays - Belfast
24/07/2026
Full time
Senior Software Engineer (Back-End)Applylocations: Belfasttime type: Full timeposted on: Posted 3 Days Agojob requisition id: R5500The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions.Through our people and technology, we connect clients to superior liquidity and data solutions.The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview As a Senior Software Engineer at TP ICAP, you will play a key role in delivering business-critical software solutions supporting the internal broking division and its external client base.You will operate within an Agile, cross-functional environment, contributing across the full software development lifecycle-from design through to implementation and post-release support. The role emphasises engineering excellence, continuous improvement, and scalable delivery, with a strong focus on automation, continuous integration, and deployment. Role Responsibilities Collaborate with Architects and Principal Engineers to design and deliver solutions aligned with the broader IT strategy and architectural vision. Take ownership of the design, development, and delivery of key features, ensuring high-quality outcomes and timely completion. Partner closely with QA to ensure robust testing practices and the consistent delivery of high-quality, defect-free software. Champion engineering best practices, including unit testing, code reviews, and maintainable design principles. Leverage AI-enabled development tools (e.g. Copilot, code assistants, automation tooling) to enhance productivity, code quality, and delivery velocity-within enterprise risk and control frameworks. Contribute to continuous improvement by evaluating and adopting appropriate technologies, tools, and methodologies. Design and deliver solutions that meet both functional and non-functional requirements (e.g. performance, scalability, resilience). Support and mentor junior team members, fostering a collaborative and high-performing team environment. Proactively communicate progress, risks, and dependencies, escalating impediments early to minimise delivery impact. Experience / Competences Essential Extensive experience (5+ years) as a Senior Software Engineer within a complex, delivery-focused environment. Strong expertise in .NET (C#) across modern .NET Framework and .NET Core environments. Proven experience developing distributed, real-time systems and designing scalable system components. Solid experience with relational databases (e.g. MS SQL Server, MySQL), including schema design and optimisation. Proficiency in WPF application development. Hands-on experience with event-driven and asynchronous messaging architectures. Experience working with cloud platforms (preferably AWS), including deployment and management of cloud-based services. Strong understanding of CI/CD pipelines, version control (GitHub/GitLab), and package management. Working knowledge of Agile methodologies and collaborative delivery across geographically distributed teams. Demonstrable understanding of AI capabilities and limitations in software engineering, with the ability to apply these responsibly within enterprise governance frameworks. Strong problem-solving skills, with a proactive, detail-oriented, and delivery-focused mindset. Ability to critically evaluate and challenge design decisions to drive optimal technical outcomes. Experience delivering proofs of concept (POCs) to validate technical approaches. Competence in writing test tools, technical documentation, and supporting maintainable systems.Desired Experience within financial services/trading platforms and understanding of financial markets. Knowledge of the FIX protocol and experience managing FIX connectivity. Exposure to Java and/or JavaScript. Deeper expertise in AWS services, including serverless architectures and microservices. Experience with TDD, BDD, or similar engineering practices for defining and validating requirements. Band & Level Manager / 6 Not The Perfect Fit? Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us. Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - City Quays - Belfast
Job Title: Principal Senior Technical Architect - Data Location: Malvern, England, United Kingdom Role Type: Permanent - Full Time Package: £71,100 - £79,000 (salary dependent on experience) + Benefits Role ID: SF19726 Are you ready to be part of the future? At QinetiQ, we're not just imagining tomorrow we are creating it. From cutting edge defence technology to ground breaking innovations our mission is to empower and protect lives. Join us as a Senior Principle Technical Architect - Data at either our Farnborough or Malvern site, where you will have the opportunity to work with cutting edge technology in partnership with some of the most brilliant minds. The Role As a Principle Technical Architect - Data, you will be a senior technical leader responsible for shaping and delivering advanced data, analytics, and artificial intelligence capabilities for Defence and National Security customers. The role focuses on designing mission aligned data architectures, driving the adoption of AI/ML technologies, and integrating data driven capability across complex systems. Day to day, you will function as a trusted advisor to senior stakeholders, the architect champions modern data practices, scalable architecture, and the responsible use of AI to deliver operations advantage and mission impact. Your responsibilities will include: Taking leadership of defence and security Data Architecture defining secure, scalable, and mission focused data architecture across multiple platforms/environments Shaping end to end data lifecycles and leading the design of data models, ontologies, data flows, and integration strategies Translating mission problems into feasible AI/ML solutions and prototypes leading the early stage innovation, experimentation, and technology evaluation Integrating data pipelines, analytical platforms, AI models, and mission systems into coherent system of system solutions Leading data architecture and AI/ML components within major Defence & Security bids developing compelling strategies, architecture, and delivery approaches for customers Leading and mentoring data engineers, AI/ML specialists, architects, and analysts Essential experience of the Principle Technical Architect - Data: Extensive experience designing and delivering data architectures and AI/ML solutions in Defence, Intelligence, or National Security environments Demonstrated leadership in developing data strategies, integration, and AI enable capabilities A strong understanding of Defence data domains, mission workflows, and operation contexts Hands on knowledge of modern data platforms, pipelines, and technologies (cloud and on premises) Proven ability to influence senior Defence stakeholders and lead multi disciplinary teams Previous experience being involved in major complex bids and proposals within the Defence & Security domain Essential qualifications for the Principle Technical Architect - Data: We value difference and we don't have a fixed idea when it comes to background or education, provided you can show the required level of experience and willingness to learn then we would like to hear from you. This role is 37 hours per week based at either our Farnborough or Malvern site. Hybrid working patterns are available. Customer travel will be required. Farnborough At our Farnborough site exciting work takes place at our state of the art facility, with high energy laser technologies, our 5m pressurised wind tunnel which has a simulation capability that is unique in the UK and our large research and development projects is a real hub of creativity, research and innovation. Join our talented teams of Engineers, IT & Cyber Specialists, Project Managers, Group Functions Teams and many more to provide future defences in the UK. Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Please note that all applicants for this role must be willing to go through DV Clearance.
23/07/2026
Full time
Job Title: Principal Senior Technical Architect - Data Location: Malvern, England, United Kingdom Role Type: Permanent - Full Time Package: £71,100 - £79,000 (salary dependent on experience) + Benefits Role ID: SF19726 Are you ready to be part of the future? At QinetiQ, we're not just imagining tomorrow we are creating it. From cutting edge defence technology to ground breaking innovations our mission is to empower and protect lives. Join us as a Senior Principle Technical Architect - Data at either our Farnborough or Malvern site, where you will have the opportunity to work with cutting edge technology in partnership with some of the most brilliant minds. The Role As a Principle Technical Architect - Data, you will be a senior technical leader responsible for shaping and delivering advanced data, analytics, and artificial intelligence capabilities for Defence and National Security customers. The role focuses on designing mission aligned data architectures, driving the adoption of AI/ML technologies, and integrating data driven capability across complex systems. Day to day, you will function as a trusted advisor to senior stakeholders, the architect champions modern data practices, scalable architecture, and the responsible use of AI to deliver operations advantage and mission impact. Your responsibilities will include: Taking leadership of defence and security Data Architecture defining secure, scalable, and mission focused data architecture across multiple platforms/environments Shaping end to end data lifecycles and leading the design of data models, ontologies, data flows, and integration strategies Translating mission problems into feasible AI/ML solutions and prototypes leading the early stage innovation, experimentation, and technology evaluation Integrating data pipelines, analytical platforms, AI models, and mission systems into coherent system of system solutions Leading data architecture and AI/ML components within major Defence & Security bids developing compelling strategies, architecture, and delivery approaches for customers Leading and mentoring data engineers, AI/ML specialists, architects, and analysts Essential experience of the Principle Technical Architect - Data: Extensive experience designing and delivering data architectures and AI/ML solutions in Defence, Intelligence, or National Security environments Demonstrated leadership in developing data strategies, integration, and AI enable capabilities A strong understanding of Defence data domains, mission workflows, and operation contexts Hands on knowledge of modern data platforms, pipelines, and technologies (cloud and on premises) Proven ability to influence senior Defence stakeholders and lead multi disciplinary teams Previous experience being involved in major complex bids and proposals within the Defence & Security domain Essential qualifications for the Principle Technical Architect - Data: We value difference and we don't have a fixed idea when it comes to background or education, provided you can show the required level of experience and willingness to learn then we would like to hear from you. This role is 37 hours per week based at either our Farnborough or Malvern site. Hybrid working patterns are available. Customer travel will be required. Farnborough At our Farnborough site exciting work takes place at our state of the art facility, with high energy laser technologies, our 5m pressurised wind tunnel which has a simulation capability that is unique in the UK and our large research and development projects is a real hub of creativity, research and innovation. Join our talented teams of Engineers, IT & Cyber Specialists, Project Managers, Group Functions Teams and many more to provide future defences in the UK. Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Please note that all applicants for this role must be willing to go through DV Clearance.
Job Title: Principal Senior Technical Architect - IT Platforms Location: Farnborough, England, United Kingdom Role Type: Permanent - Full Time Package: £71,100 - £79,000 (salary dependent on experience) + Benefits Are you ready to be part of the future? At QinetiQ, we're not just imagining tomorrow we are creating it. From cutting edge defence technology to ground breaking innovations our mission is to empower and protect lives. Join us as a Senior Principle Technical Architect - IT Platforms at either our Farnborough or Malvern site, where you will have the opportunity to work with cutting-edge technology in partnership with some of the most brilliant minds. The Role As a Principle Technical Architect - IT Platforms, you will play a pivotal role in shaping, designing, and governing complex defence grade IT and mission systems operating. You will be operating at the intersection of technology, security, and operational capability, this role ensures that solutions are architected to meet stringent defence requirements, integrate seamlessly across domains, and resilient, scalable, and future proof. Day-to-day, you will work closely with programme leadership, engineering teams, military stakeholders, and industry partners to translate operational needs into robust innovative solutions that enable mission success. Your responsibilities will include: Developing end to end solution architectures for National Security, Defence IT, C5ISR, mission systems, and secure services and consultancy Leading architectural governance, ensuring compliance with MOD standards, JSPs, DEFSTANs, NIST, and relevant NATO frameworks Shaping technical roadmaps aligned with growth roadmaps and long-term defence strategies evaluating and selecting technologies across cloud, edge computing, secure networks, data platforms, AI/ML, and mission critical software Collaborating with senior military users, programme managers, and engineering leads to capture operational needs and translate them into technical solutions Being responsible for the delivery of compelling and innovative solutions to successfully win and deliver competitive bids and projects Providing architectural oversight throughout the solution lifecycle, from bid and concept development to delivery and in service support Essential experience of the Principle Technical Architect - IT Platforms: Extensive experience architecting secure, complex systems within defence, national security, aerospace, or similarly regulated sectors Deep knowledge of different technologies such as - Secure networks and cross domain solutions, Cloud and Hybrid architectures, Data architectures/integration/interoperability standards, Mission systems/sensors/platform integration, and Cybersecurity/cryptographic controls A strong understanding of MOD acquisition frameworks, security classifications, and secure by design principles Expertise in systems engineering, enterprise architecture and model based approaches Proven ability to lead multi-disciplinary teams and influence senior stakeholders Essential qualifications for the Principle Technical Architect - IT Platforms: Chartered Engineer (CEng) or equivalent relevant experience This role is 37 hours per week based at either our Farnborough or Malvern site. Minimum, average site attendance of 3 days per week. Frequent customer travel will be required. Benefits: Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Please note that all applicants for this role must be willing to go through DV Clearance.
23/07/2026
Full time
Job Title: Principal Senior Technical Architect - IT Platforms Location: Farnborough, England, United Kingdom Role Type: Permanent - Full Time Package: £71,100 - £79,000 (salary dependent on experience) + Benefits Are you ready to be part of the future? At QinetiQ, we're not just imagining tomorrow we are creating it. From cutting edge defence technology to ground breaking innovations our mission is to empower and protect lives. Join us as a Senior Principle Technical Architect - IT Platforms at either our Farnborough or Malvern site, where you will have the opportunity to work with cutting-edge technology in partnership with some of the most brilliant minds. The Role As a Principle Technical Architect - IT Platforms, you will play a pivotal role in shaping, designing, and governing complex defence grade IT and mission systems operating. You will be operating at the intersection of technology, security, and operational capability, this role ensures that solutions are architected to meet stringent defence requirements, integrate seamlessly across domains, and resilient, scalable, and future proof. Day-to-day, you will work closely with programme leadership, engineering teams, military stakeholders, and industry partners to translate operational needs into robust innovative solutions that enable mission success. Your responsibilities will include: Developing end to end solution architectures for National Security, Defence IT, C5ISR, mission systems, and secure services and consultancy Leading architectural governance, ensuring compliance with MOD standards, JSPs, DEFSTANs, NIST, and relevant NATO frameworks Shaping technical roadmaps aligned with growth roadmaps and long-term defence strategies evaluating and selecting technologies across cloud, edge computing, secure networks, data platforms, AI/ML, and mission critical software Collaborating with senior military users, programme managers, and engineering leads to capture operational needs and translate them into technical solutions Being responsible for the delivery of compelling and innovative solutions to successfully win and deliver competitive bids and projects Providing architectural oversight throughout the solution lifecycle, from bid and concept development to delivery and in service support Essential experience of the Principle Technical Architect - IT Platforms: Extensive experience architecting secure, complex systems within defence, national security, aerospace, or similarly regulated sectors Deep knowledge of different technologies such as - Secure networks and cross domain solutions, Cloud and Hybrid architectures, Data architectures/integration/interoperability standards, Mission systems/sensors/platform integration, and Cybersecurity/cryptographic controls A strong understanding of MOD acquisition frameworks, security classifications, and secure by design principles Expertise in systems engineering, enterprise architecture and model based approaches Proven ability to lead multi-disciplinary teams and influence senior stakeholders Essential qualifications for the Principle Technical Architect - IT Platforms: Chartered Engineer (CEng) or equivalent relevant experience This role is 37 hours per week based at either our Farnborough or Malvern site. Minimum, average site attendance of 3 days per week. Frequent customer travel will be required. Benefits: Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Please note that all applicants for this role must be willing to go through DV Clearance.
Valcon is a north-western European consulting, technology and data company based in the UK, the Netherlands, Denmark, Sweden, and Croatia. We are seeking a SeniorSpecialist/ Principal Agentic AI Engineer to design, build and deploy intelligent AI agents, copilots and agentic solutions that deliver measurable business outcomes for our clients. This is a hands on engineering role focused on developing production ready agentic solutions using Microsoft AI technologies, Databricks AI capabilities and modern software engineering practices. The successful candidate will combine strong technical skills with expertise in AI agents, orchestration frameworks, enterprise integrations and intelligent automation. The role offers flexibility for candidates from software engineering, AI engineering, agent development, low code or automation backgrounds. We are looking for engineers who are passionate about building practical AI solutions that automate work, augment decision making and transform business processes through intelligent agents. Working alongside architects, consultants and delivery teams, you will contribute to technical design, build scalable and secure solutions, and create reusable assets, frameworks and accelerators that strengthen our Agentic AI capability. Key Responsibilities Design, develop and deploy AI agents, copilots and intelligent automation solutions that deliver measurable business value. Build solutions using Microsoft AI technologies including Copilot Studio, Azure AI Foundry, Azure OpenAI and Microsoft Fabric. Develop intelligent agents using Databricks AI capabilities including Mosaic AI and modern agent development frameworks. Design and implement agent workflows, orchestration patterns and autonomous business processes. Build agents that integrate with enterprise systems, business applications, APIs, data sources and knowledge repositories. Develop retrieval, memory, context management and reasoning capabilities to improve agent effectiveness and user outcomes. Collaborate with Solution Architects and Technical Leads to contribute to solution design and technical decision making. Support discovery workshops, technical design sessions and solution shaping activities where required. Build reusable agent components, skills, frameworks and accelerators that improve delivery quality and speed. Perform testing, evaluation, optimisation and continuous improvement of AI solutions and agent performance. Ensure solutions are secure, scalable, maintainable and aligned to engineering best practices. Contribute to capability development, knowledge sharing and the adoption of emerging agentic technologies. Experience Experience designing, developing and deploying AI powered solutions, intelligent automation platforms, copilots or agentic applications. Experience with one or more modern AI and agentic platforms, including: Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Microsoft Fabric, AI Databricks, Mosaic AI, Databricks Agent Framework, Modern agent orchestration frameworks. Experience integrating solutions with APIs, enterprise systems, business platforms and knowledge sources. Strong understanding of modern software engineering practices and the software development lifecycle. Experience working within Agile delivery environments. Strong analytical, problem solving and troubleshooting skills. Excellent communication and stakeholder engagement skills. Strong software engineering experience using Python, TypeScript, C# or similar modern programming languages. Experience designing and developing AI agents and agentic applications using frameworks such as Semantic Kernel, LangGraph, CrewAI or AutoGen. Hands on experience with Azure AI Foundry, Azure OpenAI or Databricks Mosaic AI to build enterprise AI solutions. Experience developing cloud native applications, APIs and integrating enterprise systems. Knowledge of Retrieval Augmented Generation (RAG), vector search, memory management and AI reasoning techniques. Experience with Microsoft Copilot Studio, Power Platform and Power Automate to deliver intelligent business automation. Strong understanding of Git, CI/CD, DevOps and modern software engineering best practices, including testing, code reviews and quality assurance. Experience designing multi agent architectures, orchestration patterns and workflow automation for complex business processes. Knowledge of AI governance, Responsible AI, security, observability and monitoring within enterprise environments. Excellent problem solving, collaboration and communication skills, with a passion for delivering practical AI solutions that create measurable business value.
22/07/2026
Full time
Valcon is a north-western European consulting, technology and data company based in the UK, the Netherlands, Denmark, Sweden, and Croatia. We are seeking a SeniorSpecialist/ Principal Agentic AI Engineer to design, build and deploy intelligent AI agents, copilots and agentic solutions that deliver measurable business outcomes for our clients. This is a hands on engineering role focused on developing production ready agentic solutions using Microsoft AI technologies, Databricks AI capabilities and modern software engineering practices. The successful candidate will combine strong technical skills with expertise in AI agents, orchestration frameworks, enterprise integrations and intelligent automation. The role offers flexibility for candidates from software engineering, AI engineering, agent development, low code or automation backgrounds. We are looking for engineers who are passionate about building practical AI solutions that automate work, augment decision making and transform business processes through intelligent agents. Working alongside architects, consultants and delivery teams, you will contribute to technical design, build scalable and secure solutions, and create reusable assets, frameworks and accelerators that strengthen our Agentic AI capability. Key Responsibilities Design, develop and deploy AI agents, copilots and intelligent automation solutions that deliver measurable business value. Build solutions using Microsoft AI technologies including Copilot Studio, Azure AI Foundry, Azure OpenAI and Microsoft Fabric. Develop intelligent agents using Databricks AI capabilities including Mosaic AI and modern agent development frameworks. Design and implement agent workflows, orchestration patterns and autonomous business processes. Build agents that integrate with enterprise systems, business applications, APIs, data sources and knowledge repositories. Develop retrieval, memory, context management and reasoning capabilities to improve agent effectiveness and user outcomes. Collaborate with Solution Architects and Technical Leads to contribute to solution design and technical decision making. Support discovery workshops, technical design sessions and solution shaping activities where required. Build reusable agent components, skills, frameworks and accelerators that improve delivery quality and speed. Perform testing, evaluation, optimisation and continuous improvement of AI solutions and agent performance. Ensure solutions are secure, scalable, maintainable and aligned to engineering best practices. Contribute to capability development, knowledge sharing and the adoption of emerging agentic technologies. Experience Experience designing, developing and deploying AI powered solutions, intelligent automation platforms, copilots or agentic applications. Experience with one or more modern AI and agentic platforms, including: Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Microsoft Fabric, AI Databricks, Mosaic AI, Databricks Agent Framework, Modern agent orchestration frameworks. Experience integrating solutions with APIs, enterprise systems, business platforms and knowledge sources. Strong understanding of modern software engineering practices and the software development lifecycle. Experience working within Agile delivery environments. Strong analytical, problem solving and troubleshooting skills. Excellent communication and stakeholder engagement skills. Strong software engineering experience using Python, TypeScript, C# or similar modern programming languages. Experience designing and developing AI agents and agentic applications using frameworks such as Semantic Kernel, LangGraph, CrewAI or AutoGen. Hands on experience with Azure AI Foundry, Azure OpenAI or Databricks Mosaic AI to build enterprise AI solutions. Experience developing cloud native applications, APIs and integrating enterprise systems. Knowledge of Retrieval Augmented Generation (RAG), vector search, memory management and AI reasoning techniques. Experience with Microsoft Copilot Studio, Power Platform and Power Automate to deliver intelligent business automation. Strong understanding of Git, CI/CD, DevOps and modern software engineering best practices, including testing, code reviews and quality assurance. Experience designing multi agent architectures, orchestration patterns and workflow automation for complex business processes. Knowledge of AI governance, Responsible AI, security, observability and monitoring within enterprise environments. Excellent problem solving, collaboration and communication skills, with a passion for delivering practical AI solutions that create measurable business value.
Intelance is an independent UK advisory and assurance firm and an IASME Certification Body for Cyber Essentials, Cyber Essentials Plus and IASME Cyber Assurance. We work with mid-market, enterprise and regulated organisations across cyber assurance, security architecture, governance and technology risk. We are appointing professionals who already hold formal UK Cyber Security Council (UKCSC) registration in Security Architecture at Principal or Chartered level, to join our associate panel and support the assessment and advisory of large, complex organisations. This is not permanent employment. Work is offered on a project by project basis according to client demand, suitability and availability. There is no guaranteed volume of work. Please note: current UKCSC registration in Security Architecture (Secure System Architecture and Design) at Principal or Chartered level is an essential requirement for this role. Applications without it will not be progressed. Tasks You may be asked to: Lead independent security architecture reviews and assurance for large, complex and regulated organisations. Assess cloud, hybrid and on premises architectures across identity, networks, applications, platforms and data. Carry out threat modelling and identify credible attack paths, design weaknesses and control gaps. Judge whether proposed or alternative controls provide equivalent, proportionate protection. Review high level and detailed designs and challenge unsupported assumptions. Advise boards, executives and technical teams on secure by design decisions and trade offs. Produce clear, defensible, client ready architecture findings and assurance reports. Complete scheme specific training and participate in internal quality reviews where required. Requirements You must hold: Current UK Cyber Security Council (UKCSC) professional registration in Security Architecture (Secure System Architecture and Design) at Principal or Chartered level. This is mandatory and will be verified. You should also have: Substantial experience as a practising security architect in large, complex or regulated organisations. Strong command of secure by design principles, threat modelling and architecture assurance. Practical experience across cloud, hybrid infrastructure, identity, networks, applications and data security. Excellent written English and the ability to explain technical risk to non technical decision makers. SABSA, TOGAF, CISSP, CCSP and cloud certifications are welcome but do not replace the UKCSC registration requirement. You must be based in the UK, able to attend UK client sites when agreed, and able to contract through a limited company or another compliant arrangement. Benefits Senior, independent security architecture and assurance assignments. Flexible associate working based on your availability. Direct access to Intelance leadership. Work alongside experienced architects, governance and risk advisors and technical assessors. Clear scopes, templates and quality review arrangements. Potential inclusion in Intelance proposals and associate credentials, subject to agreement. Please provide: Your CV and LinkedIn profile. Your UK Cyber Security Council registration: specialism, level (Principal or Chartered) and your registration number or public UKCSC profile link. Your location, availability and expected day rate. One example of a complex enterprise security architecture you personally designed or assured. Details of any relevant scheme, architecture or cyber assurance qualifications.
22/07/2026
Full time
Intelance is an independent UK advisory and assurance firm and an IASME Certification Body for Cyber Essentials, Cyber Essentials Plus and IASME Cyber Assurance. We work with mid-market, enterprise and regulated organisations across cyber assurance, security architecture, governance and technology risk. We are appointing professionals who already hold formal UK Cyber Security Council (UKCSC) registration in Security Architecture at Principal or Chartered level, to join our associate panel and support the assessment and advisory of large, complex organisations. This is not permanent employment. Work is offered on a project by project basis according to client demand, suitability and availability. There is no guaranteed volume of work. Please note: current UKCSC registration in Security Architecture (Secure System Architecture and Design) at Principal or Chartered level is an essential requirement for this role. Applications without it will not be progressed. Tasks You may be asked to: Lead independent security architecture reviews and assurance for large, complex and regulated organisations. Assess cloud, hybrid and on premises architectures across identity, networks, applications, platforms and data. Carry out threat modelling and identify credible attack paths, design weaknesses and control gaps. Judge whether proposed or alternative controls provide equivalent, proportionate protection. Review high level and detailed designs and challenge unsupported assumptions. Advise boards, executives and technical teams on secure by design decisions and trade offs. Produce clear, defensible, client ready architecture findings and assurance reports. Complete scheme specific training and participate in internal quality reviews where required. Requirements You must hold: Current UK Cyber Security Council (UKCSC) professional registration in Security Architecture (Secure System Architecture and Design) at Principal or Chartered level. This is mandatory and will be verified. You should also have: Substantial experience as a practising security architect in large, complex or regulated organisations. Strong command of secure by design principles, threat modelling and architecture assurance. Practical experience across cloud, hybrid infrastructure, identity, networks, applications and data security. Excellent written English and the ability to explain technical risk to non technical decision makers. SABSA, TOGAF, CISSP, CCSP and cloud certifications are welcome but do not replace the UKCSC registration requirement. You must be based in the UK, able to attend UK client sites when agreed, and able to contract through a limited company or another compliant arrangement. Benefits Senior, independent security architecture and assurance assignments. Flexible associate working based on your availability. Direct access to Intelance leadership. Work alongside experienced architects, governance and risk advisors and technical assessors. Clear scopes, templates and quality review arrangements. Potential inclusion in Intelance proposals and associate credentials, subject to agreement. Please provide: Your CV and LinkedIn profile. Your UK Cyber Security Council registration: specialism, level (Principal or Chartered) and your registration number or public UKCSC profile link. Your location, availability and expected day rate. One example of a complex enterprise security architecture you personally designed or assured. Details of any relevant scheme, architecture or cyber assurance qualifications.
Product & Technology - London, Full-Time Description As a Principal Product Manager for Analytics at Siteimprove, you will own the strategy and execution for our Analytics pillar as part of Siteimprove s strategic shift toward an agentic content intelligence platform. You will define how we deliver trustworthy, democratized, actionable insights across web analytics, digital experience analytics, marketing analytics, and app (product) analytics and how those insights become the connective tissue that makes our Search and Accessibility pillars more intelligent, proactive, and outcome-oriented. This is a high-impact role in a crowded, fast-evolving market. You will be responsible for clarifying Siteimprove s differentiated position, shaping an integration strategy across ecosystem tools and partners, and building a unified experience that turns fragmented data into proactive insights, recommendations, and agent-guided workflows. You will partner across Product, Engineering, Data Science, Design, and GTM to build capabilities that customers trust for decision-making and that directly improve content performance, conversion, and compliance at enterprise scale. Here is a taste of the questions you, as a leader, will be asking yourself almost every day: What is our differentiated point of view in a world dominated by GA4, Adobe, and a growing set of specialized DXA and product analytics tools? How do we build a unified, simple UX that consolidates insight across web, marketing, experience, and app analytics without overwhelming users? What is the right integration strategy so customers can connect Siteimprove to their ecosystem (CDPs, ad platforms, BI tools, experimentation, tag managers) with minimal friction? How do we move from reactive dashboards to proactive insight and agent-guided recommendations that teams act on? How do we instrument trust: data quality, governance, privacy, and explainability especially as AI becomes part of the analytics workflow? How do we ensure analytics doesn t live in a silo, but actively powers smarter prioritization in Search and Accessibility? What you will be doing If you re excited about building analytics products that are both technically rigorous and decisively useful and thrive in ambiguous, high-visibility problem spaces this role is for you. In this role, you will be responsible for scoping and delivering large initiatives across Siteimprove s Analytics pillar. Responsibilities include partnering with customers and internal stakeholders to define business and system requirements, writing clear product specifications with success criteria, driving schedules from design to release, and managing production launches and adoption. You will lead and coordinate efforts across Engineering, Design, Data Science, Product Marketing, Sales, and Customer Success to develop an analytics platform that is enterprise-ready, differentiated, and deeply integrated across Siteimprove s broader platform. You will have end-to-end ownership from strategy to delivery to measurement and will provide regular visibility to senior leadership on pillar performance, priorities, and risks. Own the Analytics pillar strategy and roadmap spanning web analytics, digital experience analytics, marketing analytics, and app (product) analytics within Siteimprove s agentic content intelligence platform. Define Siteimprove s differentiated analytics position: who we serve best, what jobs we do better than incumbents, and how we win in a crowded market. Drive a unified, simple UX that consolidates insights across analytics disciplines, with consistent entities, navigation, and workflows that reduce fragmentation and improve adoption. Establish an ecosystem integration strategy across key partner categories (tag management, BI, CDP/CRM, ad platforms, experimentation, consent/privacy, data warehouses) including build vs buy vs partner recommendations. Build proactive insight systems: anomaly detection, opportunity surfacing, segmentation, attribution-informed signals, and next best actions that guide teams to outcomes. Ensure Analytics actively powers other pillars by providing actionable signals and segmentation that improve Search and Accessibility prioritization, measurement, and executive reporting. Partner with Engineering and Data Science to define data pipelines, identity/consent approaches (as applicable), event and content schemas, governance controls, and reliability SLAs. Define and operate a metrics and quality program: instrumentation, adoption funnels, data completeness, latency, accuracy, and customer outcome measurement. Lead cross-functional execution from discovery through launch, ensuring high-quality delivery, clear stakeholder alignment, and pragmatic tradeoffs for time-to-market. Represent the Analytics pillar internally and externally through customer briefings, roadmap narratives, executive updates, and enablement for Sales and Customer Success. What we will require of you Bachelor s degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, or equivalent experience. 8+ years of product management experience, including ownership of strategy and roadmap for complex B2B SaaS products. Experience building analytics products or data platforms (web/app analytics, marketing analytics, DXA, BI, data pipelines) with a Strong grasp of measurement concepts. Demonstrated ability to drive simplified, unified experiences across complex product surfaces and cross-functional data domains. Strong technical fluency: ability to engage on event models, tagging/collection approaches, data pipelines, privacy/consent considerations, and scalable architecture tradeoffs.Proven ability to lead cross-functional teams and influence without authority across Product, Engineering, Design, Data Science, and GTM. Excellent communicator and writer, able to align stakeholders and make crisp tradeoffs. High ownership: you drive clarity, momentum, and outcomes. Remote or Hybrid EU, UK, Canada, or United States What we will love about you Experience in analytics products: digital analytics, marketing analytics, BI, experimentation, monitoring/observability, or data platforms. Familiarity with event instrumentation, identity/resolution, schema/taxonomy design, and data governance. Experience with AI-powered analytics: natural language querying, summarization, recommendations, or agentic workflows, with strong trust/guardrail instincts. Integrations/platform experience (APIs, webhooks, warehouse/BI connectors, workflow tools like Jira/Asana/ServiceNow). Experience with regulated enterprise customers and privacy/security constraints. In addition, we hope you will appreciate: Rest and relaxation: 25 days of annual leave plus 10 paid public holidays, giving you time to recharge, focus on your wellbeing, and take meaningful time away when you need it. Comprehensive benefits: Private Medical Insurance, enhanced family leave and Step Back-In programme, wellbeing support through Canada Life (including 24/7 GP access, mental health services, fitness and wellbeing programmes), life assurance, and travel-to-work reimbursement supporting you and your family at every stage. Prepare for the future: Aviva workplace pension with employer contributions, helping you plan confidently for your long-term financial wellbeing. Siteimprove is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status. Siteimprove is a global corporation that has developed data practices to ensure your personally identifiable information is appropriately protected. Please note that personal information may be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in accordance with our Privacy Policy at .
20/07/2026
Full time
Product & Technology - London, Full-Time Description As a Principal Product Manager for Analytics at Siteimprove, you will own the strategy and execution for our Analytics pillar as part of Siteimprove s strategic shift toward an agentic content intelligence platform. You will define how we deliver trustworthy, democratized, actionable insights across web analytics, digital experience analytics, marketing analytics, and app (product) analytics and how those insights become the connective tissue that makes our Search and Accessibility pillars more intelligent, proactive, and outcome-oriented. This is a high-impact role in a crowded, fast-evolving market. You will be responsible for clarifying Siteimprove s differentiated position, shaping an integration strategy across ecosystem tools and partners, and building a unified experience that turns fragmented data into proactive insights, recommendations, and agent-guided workflows. You will partner across Product, Engineering, Data Science, Design, and GTM to build capabilities that customers trust for decision-making and that directly improve content performance, conversion, and compliance at enterprise scale. Here is a taste of the questions you, as a leader, will be asking yourself almost every day: What is our differentiated point of view in a world dominated by GA4, Adobe, and a growing set of specialized DXA and product analytics tools? How do we build a unified, simple UX that consolidates insight across web, marketing, experience, and app analytics without overwhelming users? What is the right integration strategy so customers can connect Siteimprove to their ecosystem (CDPs, ad platforms, BI tools, experimentation, tag managers) with minimal friction? How do we move from reactive dashboards to proactive insight and agent-guided recommendations that teams act on? How do we instrument trust: data quality, governance, privacy, and explainability especially as AI becomes part of the analytics workflow? How do we ensure analytics doesn t live in a silo, but actively powers smarter prioritization in Search and Accessibility? What you will be doing If you re excited about building analytics products that are both technically rigorous and decisively useful and thrive in ambiguous, high-visibility problem spaces this role is for you. In this role, you will be responsible for scoping and delivering large initiatives across Siteimprove s Analytics pillar. Responsibilities include partnering with customers and internal stakeholders to define business and system requirements, writing clear product specifications with success criteria, driving schedules from design to release, and managing production launches and adoption. You will lead and coordinate efforts across Engineering, Design, Data Science, Product Marketing, Sales, and Customer Success to develop an analytics platform that is enterprise-ready, differentiated, and deeply integrated across Siteimprove s broader platform. You will have end-to-end ownership from strategy to delivery to measurement and will provide regular visibility to senior leadership on pillar performance, priorities, and risks. Own the Analytics pillar strategy and roadmap spanning web analytics, digital experience analytics, marketing analytics, and app (product) analytics within Siteimprove s agentic content intelligence platform. Define Siteimprove s differentiated analytics position: who we serve best, what jobs we do better than incumbents, and how we win in a crowded market. Drive a unified, simple UX that consolidates insights across analytics disciplines, with consistent entities, navigation, and workflows that reduce fragmentation and improve adoption. Establish an ecosystem integration strategy across key partner categories (tag management, BI, CDP/CRM, ad platforms, experimentation, consent/privacy, data warehouses) including build vs buy vs partner recommendations. Build proactive insight systems: anomaly detection, opportunity surfacing, segmentation, attribution-informed signals, and next best actions that guide teams to outcomes. Ensure Analytics actively powers other pillars by providing actionable signals and segmentation that improve Search and Accessibility prioritization, measurement, and executive reporting. Partner with Engineering and Data Science to define data pipelines, identity/consent approaches (as applicable), event and content schemas, governance controls, and reliability SLAs. Define and operate a metrics and quality program: instrumentation, adoption funnels, data completeness, latency, accuracy, and customer outcome measurement. Lead cross-functional execution from discovery through launch, ensuring high-quality delivery, clear stakeholder alignment, and pragmatic tradeoffs for time-to-market. Represent the Analytics pillar internally and externally through customer briefings, roadmap narratives, executive updates, and enablement for Sales and Customer Success. What we will require of you Bachelor s degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, or equivalent experience. 8+ years of product management experience, including ownership of strategy and roadmap for complex B2B SaaS products. Experience building analytics products or data platforms (web/app analytics, marketing analytics, DXA, BI, data pipelines) with a Strong grasp of measurement concepts. Demonstrated ability to drive simplified, unified experiences across complex product surfaces and cross-functional data domains. Strong technical fluency: ability to engage on event models, tagging/collection approaches, data pipelines, privacy/consent considerations, and scalable architecture tradeoffs.Proven ability to lead cross-functional teams and influence without authority across Product, Engineering, Design, Data Science, and GTM. Excellent communicator and writer, able to align stakeholders and make crisp tradeoffs. High ownership: you drive clarity, momentum, and outcomes. Remote or Hybrid EU, UK, Canada, or United States What we will love about you Experience in analytics products: digital analytics, marketing analytics, BI, experimentation, monitoring/observability, or data platforms. Familiarity with event instrumentation, identity/resolution, schema/taxonomy design, and data governance. Experience with AI-powered analytics: natural language querying, summarization, recommendations, or agentic workflows, with strong trust/guardrail instincts. Integrations/platform experience (APIs, webhooks, warehouse/BI connectors, workflow tools like Jira/Asana/ServiceNow). Experience with regulated enterprise customers and privacy/security constraints. In addition, we hope you will appreciate: Rest and relaxation: 25 days of annual leave plus 10 paid public holidays, giving you time to recharge, focus on your wellbeing, and take meaningful time away when you need it. Comprehensive benefits: Private Medical Insurance, enhanced family leave and Step Back-In programme, wellbeing support through Canada Life (including 24/7 GP access, mental health services, fitness and wellbeing programmes), life assurance, and travel-to-work reimbursement supporting you and your family at every stage. Prepare for the future: Aviva workplace pension with employer contributions, helping you plan confidently for your long-term financial wellbeing. Siteimprove is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status. Siteimprove is a global corporation that has developed data practices to ensure your personally identifiable information is appropriately protected. Please note that personal information may be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in accordance with our Privacy Policy at .
Senior Solutions Engineer, IoT/OT and Industrial AI (f/m/x) Sales & Business Development Join our team! Be part of shaping the future in data driven businesses. Your skillsets 5+ years in customer facing technical roles (Solutions Architect/Engineer), owning customer POCs end to end. Strong experience in at least one of: IoT, OT, cloud, cyber security or industrial AI. Designs and presents reference architectures to senior buyers, ready to grow into CISO/CTO conversations within 6 months. Contract type Full time (Hybrid) Start date As soon as possible Location UK, Austria or UAE You are responsible for: Own technical discovery, architecture conversations, and product demonstrations for strategic accounts across Europe, META, and the Americas. Design and run customer POCs end-to end: scoping, deployment, success criteria, and technical handover. Build and maintain reference architectures for our priority segments (energy, industrial automation, critical infrastructure, defence) and lead responses to security questionnaires, RFPs, and procurement frameworks. Represent Tributech at customer technical workshops, industry events, and analyst briefings. Channel customer signal into product, with a standing weekly slot with the CTO for roadmap input. Enable Sales colleagues, GSI partners, and channel resellers on the technical narrative; build the demo environments, integration documentation, and architecture diagrams that scale the function. Become the second technical face of Tributech in front of customers, on an explicit Principal Solutions Architect track. Reporting to Head of Sales, with strong alignment to the CTO. Traveling around 25%, including time at our Austrian product development & R&D facilities during onboarding. You have 5+ years of professional experience in customer facing technical roles (Solutions Architect, Solutions Engineer or similar roles), including hands on ownership of customer POCs from scoping through execution. Strong experience in at least one domain: IoT, OT, cloud platforms, cyber security or industrial AI. Solid knowledge across the remaining domains, with the appetite to deepen all five. Enough engineering depth to validate technically feasible before architectures reach the customer. Experienced with current AI tooling (coding assistants, agents, MCP) and use it to speed up PoC build, docs, and architecture. Practical experience designing and presenting reference architectures to senior technical buyers, with the confidence to grow into CISO and CTO level conversations within the first 6 months. Understanding of distributed systems, data integration patterns, and the realities of industrial environments (Purdue model, OT/IT segregation, edge deployment constraints). Familiarity with digital twin platforms (DTDL, Azure Digital Twins, AWS TwinMaker, Cognite, Aveva) or industrial data platforms is a strong plus. Excellent team player with strong communication skills, able to convey complex technical ideas clearly across customers, engineering, and sales. Excellent written and spoken English. We offer Opportunity to be the second technical face of a company creating its category. The trust problem in AI, OT, and IoT is being solved now, and Tributech is the only company purpose built for it. Patented technology and a customer base that includes Fortune 500 energy, industrial, and defence operators. Explicit Principal Solutions Architect track, with a clear path into Solutions Engineering leadership as we scale post Series A. Competitive compensation with 25% performance bonus and meaningful equity package. Flexible working hours and hybrid model, with frequent in person time at our Austrian product development & R&D facilities. Continuing education through technical training, certifications, and analyst engagement. A young, hungry team with startup spirit and a clear sense of mission. Free beer, coffee and tea. In line with Austrian legal disclosure requirements for positions based in Austria, the minimum gross annual salary for the position under the applicable collective agreement (IT-KV, Tätigkeitsfamilie ST2) is EUR 64,554 (€4,611/month 14); given the seniority of the role, there is a willingness to pay above this in line with market standards, based on your qualifications and experience. HOW TO APPLY Please apply by sending an email directly to our CTO Patrick Lamplmair -.
20/07/2026
Full time
Senior Solutions Engineer, IoT/OT and Industrial AI (f/m/x) Sales & Business Development Join our team! Be part of shaping the future in data driven businesses. Your skillsets 5+ years in customer facing technical roles (Solutions Architect/Engineer), owning customer POCs end to end. Strong experience in at least one of: IoT, OT, cloud, cyber security or industrial AI. Designs and presents reference architectures to senior buyers, ready to grow into CISO/CTO conversations within 6 months. Contract type Full time (Hybrid) Start date As soon as possible Location UK, Austria or UAE You are responsible for: Own technical discovery, architecture conversations, and product demonstrations for strategic accounts across Europe, META, and the Americas. Design and run customer POCs end-to end: scoping, deployment, success criteria, and technical handover. Build and maintain reference architectures for our priority segments (energy, industrial automation, critical infrastructure, defence) and lead responses to security questionnaires, RFPs, and procurement frameworks. Represent Tributech at customer technical workshops, industry events, and analyst briefings. Channel customer signal into product, with a standing weekly slot with the CTO for roadmap input. Enable Sales colleagues, GSI partners, and channel resellers on the technical narrative; build the demo environments, integration documentation, and architecture diagrams that scale the function. Become the second technical face of Tributech in front of customers, on an explicit Principal Solutions Architect track. Reporting to Head of Sales, with strong alignment to the CTO. Traveling around 25%, including time at our Austrian product development & R&D facilities during onboarding. You have 5+ years of professional experience in customer facing technical roles (Solutions Architect, Solutions Engineer or similar roles), including hands on ownership of customer POCs from scoping through execution. Strong experience in at least one domain: IoT, OT, cloud platforms, cyber security or industrial AI. Solid knowledge across the remaining domains, with the appetite to deepen all five. Enough engineering depth to validate technically feasible before architectures reach the customer. Experienced with current AI tooling (coding assistants, agents, MCP) and use it to speed up PoC build, docs, and architecture. Practical experience designing and presenting reference architectures to senior technical buyers, with the confidence to grow into CISO and CTO level conversations within the first 6 months. Understanding of distributed systems, data integration patterns, and the realities of industrial environments (Purdue model, OT/IT segregation, edge deployment constraints). Familiarity with digital twin platforms (DTDL, Azure Digital Twins, AWS TwinMaker, Cognite, Aveva) or industrial data platforms is a strong plus. Excellent team player with strong communication skills, able to convey complex technical ideas clearly across customers, engineering, and sales. Excellent written and spoken English. We offer Opportunity to be the second technical face of a company creating its category. The trust problem in AI, OT, and IoT is being solved now, and Tributech is the only company purpose built for it. Patented technology and a customer base that includes Fortune 500 energy, industrial, and defence operators. Explicit Principal Solutions Architect track, with a clear path into Solutions Engineering leadership as we scale post Series A. Competitive compensation with 25% performance bonus and meaningful equity package. Flexible working hours and hybrid model, with frequent in person time at our Austrian product development & R&D facilities. Continuing education through technical training, certifications, and analyst engagement. A young, hungry team with startup spirit and a clear sense of mission. Free beer, coffee and tea. In line with Austrian legal disclosure requirements for positions based in Austria, the minimum gross annual salary for the position under the applicable collective agreement (IT-KV, Tätigkeitsfamilie ST2) is EUR 64,554 (€4,611/month 14); given the seniority of the role, there is a willingness to pay above this in line with market standards, based on your qualifications and experience. HOW TO APPLY Please apply by sending an email directly to our CTO Patrick Lamplmair -.
AI Large Language Mode (LLM) Technology Lead/Principal Architect Career Level: Manager / Senior Manager / Associate Director You Are As a Lead or Principal AI Architect, you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will own the complete, end-to-end architecture of advanced AI platforms and solutions-spanning classical machine learning, generative AI, and agentic systems-ensuring every domain of the architecture is cohesively designed, technically sound, and purposefully aligned to client business objectives and enterprise-grade standards. A defining dimension of this role is your ability to operate at the executive level-working closely with CIOs, CTOs, and senior business leaders to help shape and articulate the enterprise AI strategy. You will connect business goals, priorities, and transformation agendas to a coherent technical vision, ensuring AI investments are purposeful, sequenced, and positioned to deliver lasting competitive advantage. This strategic partnership with client leadership distinguishes you as both a trusted advisor and a principal architect. In this role, you will lead and integrate the work of multiple domain architects and subject matter specialists-across areas such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, and model platforms and inference-providing the architectural vision, technical governance, and cross-domain coherence that bind their contributions into a unified, enterprise-ready system. You will set the architectural direction, resolve cross-domain tensions, and make the critical design decisions that shape the entire AI solution. Beyond client delivery, you will be recognized as a thought leader and leading authority in AI-staying at the forefront of the latest research, emerging standards, industry innovations, and evolving technology landscapes. You will actively shape the practice's AI architecture point of view, contribute to internal knowledge, frameworks, and reusable assets, and represent the firm externally through publications, conference engagements, and client advisory conversations. Your perspective on where AI is heading will be sought by clients, practice leadership, and peers alike. You will evaluate and make definitive decisions on design patterns, technical frameworks, reference architectures, and technology selections-balancing innovation with pragmatism to deliver systems that are robust, scalable, and built to last. This includes providing architectural oversight across AI agent ecosystems encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as foundation model integration, fine-tuning strategies, and classical ML model deployment within cohesive, production-ready platforms. You will be accountable for ensuring the complete architecture meets the most rigorous non-functional requirements across security, observability, governance, performance, and scalability-and that these concerns are addressed holistically and consistently across all domains. You will produce and govern the authoritative architecture artifacts that guide delivery at scale-including architecture decision records (ADRs), reference architectures, component and data flow diagrams, and integration specifications-and provide the executive-level technical leadership that gives cross-functional engineering teams, domain architects, and client stakeholders the clarity and confidence to execute. Your work will be instrumental in defining how the most ambitious clients adopt, scale, and lead with AI-setting a standard for what advanced AI architecture can and should look like, and delivering transformational, lasting business value. The Work Partner with CIOs, CTOs, and business leaders to shape the enterprise AI strategy, connecting business goals to a coherent, sequenced technical vision Lead enterprise AI assessments and build enterprise AI implementation roadmaps that sequence investments for lasting competitive advantage Own the complete, end-to-end technical solution for complex AI platforms-ensuring every domain is cohesively designed and aligned to business objectives and enterprise standards Translate the governing architecture principles into a concrete, defensible technical solution that domain teams build against Build innovative prototypes and proofs of concept hands on, using emerging technologies to de risk decisions and prove value early Perform technology assessments and comparisons, making definitive, evidence based recommendations on tools, frameworks, and platforms Set the architectural direction for model and tool agnostic multi agent ecosystems-orchestration, memory, and tool/skill use-governed through a registry bound AI Gateway Establish the agent registry and certification model that mandates no uncertified agent reaches production Define memory as a first class abstracted platform service, decoupled from any underlying vendor engine Define the foundation model and inference strategy-adaptation, fine tuning, and dynamic cost/quality/latency aware routing Set the standards for high throughput, low latency inferencing and classical ML deployment within unified, production ready platforms Own the architecture of the enterprise context layer-knowledge graphs, ontologies, vector search, and semantic retrieval-grounding the solution in client knowledge Set the design direction for context assembly and memory that manages prompts, context windows, and conversational state across the platform Be accountable for security, governance, observability, performance, and scalability addressed holistically and consistently across every domain Establish the identity and authorization model-per agent identity, IAM/IAP binding, and defense in depth enforcement Define the layered guardrail framework applied at every boundary, balancing protection with performance Govern the MCP control plane-registry, gateway, and risk scoring-across all internal and third party servers Mandate adopt over build for productized evaluation and observability stacks Establish FinOps as a first class concern-usage labelling, gateway enforced budgets, and cost per archetype as a planning input Make the definitive decisions on design patterns, reference architectures, frameworks, and technology selections, balancing innovation with pragmatism Lead and integrate the work of domain architects and specialists, resolving cross domain tensions into a unified, enterprise ready system Build the practice's reusable reference architectures, frameworks, and assets, with a deliberate adopt over build stance Conduct deep dive architecture workshops and working sessions with client executives and engineering teams Produce and govern the authoritative architecture artifacts-blueprints, reference architectures, ADRs, and integration specifications-that guide delivery at scale Serve as a recognized thought leader in AI, shaping the practice's point of view and representing the firm externally through publications and conference engagements Education Bachelor's Degree or equivalent Required Skills / Experience Extensive experience in designing & deploying enterprise grade advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Proven experience in the LLM and Generative AI space. Well versed in architecting and operationalizing LLM driven application architecture patterns. Deep experience in engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine architect in the industry designing big data, machine learning and large scale analytical engineering solutions.
19/07/2026
Full time
AI Large Language Mode (LLM) Technology Lead/Principal Architect Career Level: Manager / Senior Manager / Associate Director You Are As a Lead or Principal AI Architect, you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will own the complete, end-to-end architecture of advanced AI platforms and solutions-spanning classical machine learning, generative AI, and agentic systems-ensuring every domain of the architecture is cohesively designed, technically sound, and purposefully aligned to client business objectives and enterprise-grade standards. A defining dimension of this role is your ability to operate at the executive level-working closely with CIOs, CTOs, and senior business leaders to help shape and articulate the enterprise AI strategy. You will connect business goals, priorities, and transformation agendas to a coherent technical vision, ensuring AI investments are purposeful, sequenced, and positioned to deliver lasting competitive advantage. This strategic partnership with client leadership distinguishes you as both a trusted advisor and a principal architect. In this role, you will lead and integrate the work of multiple domain architects and subject matter specialists-across areas such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, and model platforms and inference-providing the architectural vision, technical governance, and cross-domain coherence that bind their contributions into a unified, enterprise-ready system. You will set the architectural direction, resolve cross-domain tensions, and make the critical design decisions that shape the entire AI solution. Beyond client delivery, you will be recognized as a thought leader and leading authority in AI-staying at the forefront of the latest research, emerging standards, industry innovations, and evolving technology landscapes. You will actively shape the practice's AI architecture point of view, contribute to internal knowledge, frameworks, and reusable assets, and represent the firm externally through publications, conference engagements, and client advisory conversations. Your perspective on where AI is heading will be sought by clients, practice leadership, and peers alike. You will evaluate and make definitive decisions on design patterns, technical frameworks, reference architectures, and technology selections-balancing innovation with pragmatism to deliver systems that are robust, scalable, and built to last. This includes providing architectural oversight across AI agent ecosystems encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as foundation model integration, fine-tuning strategies, and classical ML model deployment within cohesive, production-ready platforms. You will be accountable for ensuring the complete architecture meets the most rigorous non-functional requirements across security, observability, governance, performance, and scalability-and that these concerns are addressed holistically and consistently across all domains. You will produce and govern the authoritative architecture artifacts that guide delivery at scale-including architecture decision records (ADRs), reference architectures, component and data flow diagrams, and integration specifications-and provide the executive-level technical leadership that gives cross-functional engineering teams, domain architects, and client stakeholders the clarity and confidence to execute. Your work will be instrumental in defining how the most ambitious clients adopt, scale, and lead with AI-setting a standard for what advanced AI architecture can and should look like, and delivering transformational, lasting business value. The Work Partner with CIOs, CTOs, and business leaders to shape the enterprise AI strategy, connecting business goals to a coherent, sequenced technical vision Lead enterprise AI assessments and build enterprise AI implementation roadmaps that sequence investments for lasting competitive advantage Own the complete, end-to-end technical solution for complex AI platforms-ensuring every domain is cohesively designed and aligned to business objectives and enterprise standards Translate the governing architecture principles into a concrete, defensible technical solution that domain teams build against Build innovative prototypes and proofs of concept hands on, using emerging technologies to de risk decisions and prove value early Perform technology assessments and comparisons, making definitive, evidence based recommendations on tools, frameworks, and platforms Set the architectural direction for model and tool agnostic multi agent ecosystems-orchestration, memory, and tool/skill use-governed through a registry bound AI Gateway Establish the agent registry and certification model that mandates no uncertified agent reaches production Define memory as a first class abstracted platform service, decoupled from any underlying vendor engine Define the foundation model and inference strategy-adaptation, fine tuning, and dynamic cost/quality/latency aware routing Set the standards for high throughput, low latency inferencing and classical ML deployment within unified, production ready platforms Own the architecture of the enterprise context layer-knowledge graphs, ontologies, vector search, and semantic retrieval-grounding the solution in client knowledge Set the design direction for context assembly and memory that manages prompts, context windows, and conversational state across the platform Be accountable for security, governance, observability, performance, and scalability addressed holistically and consistently across every domain Establish the identity and authorization model-per agent identity, IAM/IAP binding, and defense in depth enforcement Define the layered guardrail framework applied at every boundary, balancing protection with performance Govern the MCP control plane-registry, gateway, and risk scoring-across all internal and third party servers Mandate adopt over build for productized evaluation and observability stacks Establish FinOps as a first class concern-usage labelling, gateway enforced budgets, and cost per archetype as a planning input Make the definitive decisions on design patterns, reference architectures, frameworks, and technology selections, balancing innovation with pragmatism Lead and integrate the work of domain architects and specialists, resolving cross domain tensions into a unified, enterprise ready system Build the practice's reusable reference architectures, frameworks, and assets, with a deliberate adopt over build stance Conduct deep dive architecture workshops and working sessions with client executives and engineering teams Produce and govern the authoritative architecture artifacts-blueprints, reference architectures, ADRs, and integration specifications-that guide delivery at scale Serve as a recognized thought leader in AI, shaping the practice's point of view and representing the firm externally through publications and conference engagements Education Bachelor's Degree or equivalent Required Skills / Experience Extensive experience in designing & deploying enterprise grade advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Proven experience in the LLM and Generative AI space. Well versed in architecting and operationalizing LLM driven application architecture patterns. Deep experience in engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine architect in the industry designing big data, machine learning and large scale analytical engineering solutions.
