About the job Shape how advanced AI hardware is tested before it reaches customers. You'll lead the technical direction of manufacturing test solutions for Host Processor Modules, Server Blades, and multi-node rack systems. Your work will help ensure every system meets the highest quality standards before deployment. You'll own the architecture of the test executive software and develop manufacturing test content that validates complex hardware at scale. Working across hardware, firmware, and software teams, you'll enable reliable, efficient testing throughout production. This role offers broad technical influence. You'll solve complex engineering challenges, improve manufacturing quality through data, and help shape the future of Graphcore's production test capability. The team and culture You'll join the Product Test and Diagnosis team within Manufacturing Operations. The team defines and delivers test strategies across silicon, boards, server systems, and rack-scale platforms. Day to day, you'll work closely with engineers across hardware, firmware, software, manufacturing, and quality. Decisions are driven by technical evidence, collaboration, and continuous improvement. You'll have the freedom to lead technically, mentor other engineers, and influence how manufacturing test evolves across globally distributed teams. What we're looking for Essential Extensive experience developing and deploying manufacturing test solutions for high-performance servers, accelerators (GPU-class), or comparable large-scale compute hardware. Proven technical leadership as an individual contributor, owning architecture and driving alignment across multiple teams without direct line management responsibility. Deep technical understanding across silicon, board, and system design sufficient to define effective manufacturing test coverage and lead complex debug/root-cause analysis. Strong cross-functional collaboration skills, with experience driving requirements and delivery with internal software/firmware/platform teams to enable testability and diagnosability. Hands on experience using Linux, OpenBMC, and vendor specific test tools, diagnostics, and system level utilities to test hardware in lab and manufacturing environments. Strong software engineering skills with scripting and automation (e.g., Python, Bash, or similar), including building reliable test infrastructure and integrating heterogeneous test content. Desirable Familiarity with rack scale/multi node systems, high speed interconnects, and production qualification of complex assemblies. Experience improving manufacturing KPIs (yield, test time, false fail reduction) through data driven test optimisation and robust statistical/diagnostic approaches. Knowledge of open source tools commonly used for manufacturing test, system bring up, and hardware diagnostics. Experience designing testability/diagnosability features into products (e.g., telemetry, self test hooks, debug interfaces) in partnership with design teams. Benefits Unlimited annual leave Up to 5% matched pension Phantom equity - share in Graphcore's success True flexibility in how and where you work Office spaces designed for collaboration Free food and an on-site barista Health cash plan Income protection Life assurance Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know. We're happy to support you. Join the team at Graphcore Graphcore is building the compute platform for the next generation of artificial intelligence. From advanced silicon to intelligent software, our technology is designed to unlock breakthroughs in AI and bring its benefits to every industry. As part of the SoftBank Group, we're backed by one of the world's most ambitious technology investors, working alongside companies shaping the future of AI. Together, we share a bold goal: to help enable artificial superintelligence and ensure it delivers meaningful impact at a global scale. At Graphcore, you'll work with people who are pushing the boundaries of what's possible. Our teams bring together AI researchers, chip designers, software engineers and systems experts from a wide range of backgrounds. It's an environment where we take on big challenges with curiosity and focus, move quickly and decisively, take real ownership of our work, and speak up to challenge ideas, stepping up to support each other and lead through action. If you want to lead the engineering behind manufacturing test for advanced AI hardware and help deliver quality at scale, we'd love to hear from you.
26/07/2026
Full time
About the job Shape how advanced AI hardware is tested before it reaches customers. You'll lead the technical direction of manufacturing test solutions for Host Processor Modules, Server Blades, and multi-node rack systems. Your work will help ensure every system meets the highest quality standards before deployment. You'll own the architecture of the test executive software and develop manufacturing test content that validates complex hardware at scale. Working across hardware, firmware, and software teams, you'll enable reliable, efficient testing throughout production. This role offers broad technical influence. You'll solve complex engineering challenges, improve manufacturing quality through data, and help shape the future of Graphcore's production test capability. The team and culture You'll join the Product Test and Diagnosis team within Manufacturing Operations. The team defines and delivers test strategies across silicon, boards, server systems, and rack-scale platforms. Day to day, you'll work closely with engineers across hardware, firmware, software, manufacturing, and quality. Decisions are driven by technical evidence, collaboration, and continuous improvement. You'll have the freedom to lead technically, mentor other engineers, and influence how manufacturing test evolves across globally distributed teams. What we're looking for Essential Extensive experience developing and deploying manufacturing test solutions for high-performance servers, accelerators (GPU-class), or comparable large-scale compute hardware. Proven technical leadership as an individual contributor, owning architecture and driving alignment across multiple teams without direct line management responsibility. Deep technical understanding across silicon, board, and system design sufficient to define effective manufacturing test coverage and lead complex debug/root-cause analysis. Strong cross-functional collaboration skills, with experience driving requirements and delivery with internal software/firmware/platform teams to enable testability and diagnosability. Hands on experience using Linux, OpenBMC, and vendor specific test tools, diagnostics, and system level utilities to test hardware in lab and manufacturing environments. Strong software engineering skills with scripting and automation (e.g., Python, Bash, or similar), including building reliable test infrastructure and integrating heterogeneous test content. Desirable Familiarity with rack scale/multi node systems, high speed interconnects, and production qualification of complex assemblies. Experience improving manufacturing KPIs (yield, test time, false fail reduction) through data driven test optimisation and robust statistical/diagnostic approaches. Knowledge of open source tools commonly used for manufacturing test, system bring up, and hardware diagnostics. Experience designing testability/diagnosability features into products (e.g., telemetry, self test hooks, debug interfaces) in partnership with design teams. Benefits Unlimited annual leave Up to 5% matched pension Phantom equity - share in Graphcore's success True flexibility in how and where you work Office spaces designed for collaboration Free food and an on-site barista Health cash plan Income protection Life assurance Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know. We're happy to support you. Join the team at Graphcore Graphcore is building the compute platform for the next generation of artificial intelligence. From advanced silicon to intelligent software, our technology is designed to unlock breakthroughs in AI and bring its benefits to every industry. As part of the SoftBank Group, we're backed by one of the world's most ambitious technology investors, working alongside companies shaping the future of AI. Together, we share a bold goal: to help enable artificial superintelligence and ensure it delivers meaningful impact at a global scale. At Graphcore, you'll work with people who are pushing the boundaries of what's possible. Our teams bring together AI researchers, chip designers, software engineers and systems experts from a wide range of backgrounds. It's an environment where we take on big challenges with curiosity and focus, move quickly and decisively, take real ownership of our work, and speak up to challenge ideas, stepping up to support each other and lead through action. If you want to lead the engineering behind manufacturing test for advanced AI hardware and help deliver quality at scale, we'd love to hear from you.
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive in, drive out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Software Engineer to join our AeroParker application development team to help drive our next phase of global growth. As a member of this engineering team, you will have the opportunity to design and build systems and features from the ground up, play a major role in defining our product direction, and mentor other engineers. The ideal candidate has a product-oriented mindset, a passion for scaling e commerce platforms, and a deep commitment to technical excellence. This is a unique opportunity to build and scale an end to end mobility and pre book platform impacting the everyday travel experiences of millions of people. What you'll do Design, implement, and maintain the backend services that power the AeroParker pre book parking and e commerce platform Be a key part of the entire development lifecycle, from initial ideation and technical specification to deployment Moderate technical discussions, evaluate new techniques, and ensure our e commerce architecture is constantly evolving Leverage best practices in automation testing, TDD/BDD, and CI/CD to enable rapid iteration and feature launches Help build a culture where production bugs are treated as constructive opportunities to improve the platform Ensure that our distributed systems remain highly available, secure, and capable of handling high-volume consumer traffic across global airports Work directly with global partners to build solutions and seamless API integrations that connect their products with the AeroParker platform What we're looking for MS or BS in Computer Science or equivalent work experience with strong fundamental computer science skills 7+ years of software engineering experience, featuring advanced level knowledge of Scala, Java, or related languages Demonstrate a proven track record of designing and delivering large scale distributed systems and microservices in high volume, consumer facing applications Possess robust experience with event driven architectures and modern software design paradigms Maintain a deep understanding of Agile engineering processes, including CI/CD pipelines and automated build/test/deploy workflows Bring strong hands on experience with database technologies, especially MySQL and PostgreSQL Demonstrate excellent written and verbal communication skills, with a proven ability to present complex technical architecture clearly to both engineering peers and cross functional stakeholders Possess familiarity or experience with additional stack components including TypeScript, React, Snowflake, AWS, Git, GitHub, Copilot on GitHub, and Datadog While not required, these are a plus Hands on experience with container technologies and "infrastructure as code" (IaC) techniques Previous experience working with e commerce platforms, data analysis tools, or complex third party API integrations Proactive interest or curiosity in emerging AI technologies to enhance productivity or customer experience Experience working in innovative, fast paced, high growth SaaS environments Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code 2 3 Days in Office: Metropolis values in person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office first model, which requires employees to be on site at least 2 3 days per week, fostering organic interactions that spark creativity and connection. When you join Metropolis, you will join a team of world class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is £35,000 - £40,000 annually. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short term and long term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
25/07/2026
Full time
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive in, drive out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Software Engineer to join our AeroParker application development team to help drive our next phase of global growth. As a member of this engineering team, you will have the opportunity to design and build systems and features from the ground up, play a major role in defining our product direction, and mentor other engineers. The ideal candidate has a product-oriented mindset, a passion for scaling e commerce platforms, and a deep commitment to technical excellence. This is a unique opportunity to build and scale an end to end mobility and pre book platform impacting the everyday travel experiences of millions of people. What you'll do Design, implement, and maintain the backend services that power the AeroParker pre book parking and e commerce platform Be a key part of the entire development lifecycle, from initial ideation and technical specification to deployment Moderate technical discussions, evaluate new techniques, and ensure our e commerce architecture is constantly evolving Leverage best practices in automation testing, TDD/BDD, and CI/CD to enable rapid iteration and feature launches Help build a culture where production bugs are treated as constructive opportunities to improve the platform Ensure that our distributed systems remain highly available, secure, and capable of handling high-volume consumer traffic across global airports Work directly with global partners to build solutions and seamless API integrations that connect their products with the AeroParker platform What we're looking for MS or BS in Computer Science or equivalent work experience with strong fundamental computer science skills 7+ years of software engineering experience, featuring advanced level knowledge of Scala, Java, or related languages Demonstrate a proven track record of designing and delivering large scale distributed systems and microservices in high volume, consumer facing applications Possess robust experience with event driven architectures and modern software design paradigms Maintain a deep understanding of Agile engineering processes, including CI/CD pipelines and automated build/test/deploy workflows Bring strong hands on experience with database technologies, especially MySQL and PostgreSQL Demonstrate excellent written and verbal communication skills, with a proven ability to present complex technical architecture clearly to both engineering peers and cross functional stakeholders Possess familiarity or experience with additional stack components including TypeScript, React, Snowflake, AWS, Git, GitHub, Copilot on GitHub, and Datadog While not required, these are a plus Hands on experience with container technologies and "infrastructure as code" (IaC) techniques Previous experience working with e commerce platforms, data analysis tools, or complex third party API integrations Proactive interest or curiosity in emerging AI technologies to enhance productivity or customer experience Experience working in innovative, fast paced, high growth SaaS environments Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code 2 3 Days in Office: Metropolis values in person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office first model, which requires employees to be on site at least 2 3 days per week, fostering organic interactions that spark creativity and connection. When you join Metropolis, you will join a team of world class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is £35,000 - £40,000 annually. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short term and long term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
Principal Engineer, Product Software JR-162356 Hybrid London Technology Full time Who are we? the company is the world's digital infrastructure company , shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. Help us challenge assumptions, uncover bias, and remove barriers-because progress starts with fresh ideas. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work. Job Summary the company Incubation builds agentic systems that support the software delivery lifecycle end to end through specialized AI agents, human oversight, and enterprise-grade governance. As a Principal Engineer, you will provide technical leadership for the architecture, design, and implementation of critical platform and agent capabilities. This is the most senior individual contributor role within the organization and is responsible for solving complex technical challenges, establishing engineering standards, and influencing the technical direction of the platform. This role may focus on either the Agent Platform & Orchestration domain or the Agent Engineering domain, depending on business needs. Regardless of assignment, you will serve as a technical leader, mentor, and trusted advisor across engineering teams. Architecture and Technical Leadership Design scalable, secure, and reliable architectures supporting agent orchestration, agent-to-agent communication, tool integration, event-driven workflows, and enterprise platform integration. Lead the resolution of complex technical challenges related to reliability, performance, scalability, evaluation frameworks, and operational excellence. Develop and review critical platform and application code, ensuring adherence to software engineering best practices. Provide technical guidance and architectural direction across multiple engineering teams. Influence the technical strategy and long term architecture of the platform. Engineering Excellence and Quality Define engineering standards, evaluation methodologies, guardrails, release criteria, and quality frameworks for agent-based systems. Establish observability, monitoring, and evaluation capabilities that enable measurable and repeatable quality outcomes. Review and approve key technical designs and architectural decisions. Promote engineering rigor through technical reviews, documentation, and standards adoption. Ensure technical quality, maintainability, and operational readiness across platform and agent capabilities. Platform and Product Delivery Partner with product management and engineering leadership to translate business objectives into technical strategy and execution plans. Create reusable frameworks, patterns, and reference implementations that accelerate platform development and adoption. Drive continuous improvement of platform capabilities, reliability, operational efficiency, and developer experience. Balance technical innovation with business priorities, delivery timelines, and operational requirements. Technical Mentorship and Influence Mentor and develop engineers through technical coaching, design reviews, and knowledge sharing. Foster adoption of engineering standards, best practices, and platform patterns across teams. Influence technical decision-making through expertise, collaboration, and leadership without direct authority. Build engineering capability by promoting high standards of technical excellence and craftsmanship. Security, Governance, and Operations Ensure platform designs incorporate security, privacy, compliance, auditability, and responsible AI considerations. Partner with security, governance, and architecture stakeholders to meet enterprise requirements. Drive operational excellence through monitoring, resilience, capacity planning, cost optimization, and incident readiness. Champion secure by design and reliable by design engineering practices across the platform. Required Extensive software engineering experience with a proven record of technical leadership across multiple teams and organizations. Deep experience designing, building, and operating distributed systems, cloud-native platforms, APIs, and event driven architectures. Hands on experience building and delivering LLM powered applications, AI systems, or agent based solutions in production environments. Strong software development expertise in Python, TypeScript, or comparable modern programming languages. Demonstrated experience establishing technical standards, engineering practices, and architectural direction at scale. Proven ability to mentor senior engineers and develop technical talent. Strong written and verbal communication skills with the ability to influence technical and business stakeholders. Preferred Qualifications Experience with agent frameworks, orchestration platforms, and protocols such as MCP, A2A, LangGraph, Bedrock, Vertex AI, OpenAI, Anthropic, or similar technologies. Experience building developer platforms, orchestration engines, SDLC tooling, or engineering productivity solutions. Experience implementing enterprise AI systems within regulated or security-conscious environments. Experience with responsible AI governance, evaluation frameworks, and model quality practices. Contributions to open-source software, technical publications, patents, or industry conference presentations. the company Values At the company, we operate with a growth mindset and embrace diversity of thought and contribution. We are committed to creating an environment where everyone can do their best work, grow their careers, and contribute to our success. We welcome people with diverse experiences and backgrounds who are passionate about solving complex technical challenges and building technology that creates meaningful business impact. the company is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing form. the company is an Equal Employment Opportunity and, in the U.S., an Affir mative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. We use artificial intelligence in our hiring process. Learn more here. This posting is a new position within our organization.
25/07/2026
Full time
Principal Engineer, Product Software JR-162356 Hybrid London Technology Full time Who are we? the company is the world's digital infrastructure company , shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. Help us challenge assumptions, uncover bias, and remove barriers-because progress starts with fresh ideas. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work. Job Summary the company Incubation builds agentic systems that support the software delivery lifecycle end to end through specialized AI agents, human oversight, and enterprise-grade governance. As a Principal Engineer, you will provide technical leadership for the architecture, design, and implementation of critical platform and agent capabilities. This is the most senior individual contributor role within the organization and is responsible for solving complex technical challenges, establishing engineering standards, and influencing the technical direction of the platform. This role may focus on either the Agent Platform & Orchestration domain or the Agent Engineering domain, depending on business needs. Regardless of assignment, you will serve as a technical leader, mentor, and trusted advisor across engineering teams. Architecture and Technical Leadership Design scalable, secure, and reliable architectures supporting agent orchestration, agent-to-agent communication, tool integration, event-driven workflows, and enterprise platform integration. Lead the resolution of complex technical challenges related to reliability, performance, scalability, evaluation frameworks, and operational excellence. Develop and review critical platform and application code, ensuring adherence to software engineering best practices. Provide technical guidance and architectural direction across multiple engineering teams. Influence the technical strategy and long term architecture of the platform. Engineering Excellence and Quality Define engineering standards, evaluation methodologies, guardrails, release criteria, and quality frameworks for agent-based systems. Establish observability, monitoring, and evaluation capabilities that enable measurable and repeatable quality outcomes. Review and approve key technical designs and architectural decisions. Promote engineering rigor through technical reviews, documentation, and standards adoption. Ensure technical quality, maintainability, and operational readiness across platform and agent capabilities. Platform and Product Delivery Partner with product management and engineering leadership to translate business objectives into technical strategy and execution plans. Create reusable frameworks, patterns, and reference implementations that accelerate platform development and adoption. Drive continuous improvement of platform capabilities, reliability, operational efficiency, and developer experience. Balance technical innovation with business priorities, delivery timelines, and operational requirements. Technical Mentorship and Influence Mentor and develop engineers through technical coaching, design reviews, and knowledge sharing. Foster adoption of engineering standards, best practices, and platform patterns across teams. Influence technical decision-making through expertise, collaboration, and leadership without direct authority. Build engineering capability by promoting high standards of technical excellence and craftsmanship. Security, Governance, and Operations Ensure platform designs incorporate security, privacy, compliance, auditability, and responsible AI considerations. Partner with security, governance, and architecture stakeholders to meet enterprise requirements. Drive operational excellence through monitoring, resilience, capacity planning, cost optimization, and incident readiness. Champion secure by design and reliable by design engineering practices across the platform. Required Extensive software engineering experience with a proven record of technical leadership across multiple teams and organizations. Deep experience designing, building, and operating distributed systems, cloud-native platforms, APIs, and event driven architectures. Hands on experience building and delivering LLM powered applications, AI systems, or agent based solutions in production environments. Strong software development expertise in Python, TypeScript, or comparable modern programming languages. Demonstrated experience establishing technical standards, engineering practices, and architectural direction at scale. Proven ability to mentor senior engineers and develop technical talent. Strong written and verbal communication skills with the ability to influence technical and business stakeholders. Preferred Qualifications Experience with agent frameworks, orchestration platforms, and protocols such as MCP, A2A, LangGraph, Bedrock, Vertex AI, OpenAI, Anthropic, or similar technologies. Experience building developer platforms, orchestration engines, SDLC tooling, or engineering productivity solutions. Experience implementing enterprise AI systems within regulated or security-conscious environments. Experience with responsible AI governance, evaluation frameworks, and model quality practices. Contributions to open-source software, technical publications, patents, or industry conference presentations. the company Values At the company, we operate with a growth mindset and embrace diversity of thought and contribution. We are committed to creating an environment where everyone can do their best work, grow their careers, and contribute to our success. We welcome people with diverse experiences and backgrounds who are passionate about solving complex technical challenges and building technology that creates meaningful business impact. the company is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing form. the company is an Equal Employment Opportunity and, in the U.S., an Affir mative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. We use artificial intelligence in our hiring process. Learn more here. This posting is a new position within our organization.
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.
Overview Artificial Intelligence is transforming how organisations solve complex challenges, deliver value, and create new opportunities for clients and communities. Within Nuclear EMEA, we are seeking a Principal AI & Software Solutions Lead to join our Transformation team and help shape, develop, and deliver practical AI and digital solutions that address real business and client needs. Combining deep software engineering expertise with emerging technologies such as AI, automation, data, and digital solutions, you will play a key role in turning innovative ideas into meaningful outcomes. Our focus is not technology for technology's sake, but on enhancing delivery, improving decision-making, increasing efficiency, and enabling new ways of working in a responsible, secure, and commercially valuable manner. Reporting to the Transformation Director and working closely with the AI Delivery Lead, you will help evaluate opportunities, guide technical approaches, and support the progression of ideas into production-ready solutions. This is a hands-on leadership role with a key part to play in building a new AI and software solutions capability within Nuclear EMEA, helping to transform how the business identifies opportunities, develops solutions, and delivers value. Combining technical excellence, collaboration, and delivery leadership, you will help teams turn ambition into practical, scalable impact. Your role AI Use Case Assessment & Validation Stay connected to developments across the AI landscape, bringing insights and emerging good practices into the business. Partner with the AI team to assess proposed use cases, evaluating technology options, feasibility, value, effort, and risk. Work closely with business and client-facing teams to explore opportunities, shape solutions, and rapidly prototype ideas. Help identify practical and scalable approaches that align business needs with technological capabilities. Delivery & Technical Leadership Guide discovery activities, Proof of Concept development, and the transition of validated use cases into production-ready solutions. Apply expertise in Retrieval Augmented Generation (RAG), retrieval strategies, and Large Language Model (LLM) orchestration to support solution delivery. Design solution architectures using cloud AI platforms, including Azure AI Foundry or equivalent technologies, and vector databases. Act as a trusted bridge between technical teams and business stakeholders, translating complex concepts into clear and actionable outcomes. Support the delivery of secure, scalable, and sustainable solutions that create lasting value. Team Leadership & Growth Foster a collaborative and inclusive environment where software engineers can thrive while delivering AI and agentic solutions. Provide technical direction and hands on support throughout delivery, promoting strong architecture, code quality, and production readiness practices. Support the development of junior and mid level engineers through coaching, mentoring, constructive feedback, and knowledge sharing. Help build team capability by aligning resources, developing talent, and supporting the effective mobilisation of teams across a growing portfolio of work. Encourage continuous learning and create opportunities for others to strengthen their skills and expertise. Standards & Organisational Learning Partner with the AI Delivery Lead and Transformation Director to identify emerging opportunities, lessons learned, risks, and areas for improvement. Contribute to the continuous enhancement of governance, standards, and ways of working. Share knowledge and insights across teams to strengthen organisational capability and support long term growth. Bring a proactive and collaborative approach, helping teams overcome challenges, maintain momentum, and achieve successful outcomes together. About you Bring strong software engineering expertise, including experience with Python or similar programming languages, APIs, version control, testing, and collaborative development practices. Demonstrate experience developing, deploying, or supporting digital, automation, data, or AI enabled solutions within a professional environment. Apply knowledge of modern AI concepts and technologies, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, agentic systems, or related areas. Have experience working with cloud based platforms and services, with an appreciation of scalability, performance, security, and cost considerations. Show the ability to evaluate business challenges and identify practical technology solutions, balancing technical possibilities with delivery effort, risk, and value. Bring strong problem solving skills and the ability to navigate evolving or ambiguous environments with a structured and thoughtful approach. Communicate effectively with both technical and non technical stakeholders, building trust, understanding, and alignment. Demonstrate a passion for emerging technologies, continuous learning, and applying innovation to real world challenges. Contribute experience gained through Proofs of Concept, prototypes, or pilot initiatives involving AI, automation, data analytics, or digital technologies. Bring exposure to Azure AI Foundry, Azure OpenAI Services, vector databases, cloud native architectures, or similar technologies. Apply knowledge of RAG architectures, AI orchestration frameworks, or agentic workflows. Demonstrate an understanding of data governance, information security, and Responsible AI principles. Support the growth of others through mentoring, coaching, or knowledge sharing activities. Bring experience working within large, complex, or highly regulated organisations. Apply an understanding of software architecture principles and the delivery of maintainable, production ready solutions. Show an interest in helping shape engineering standards, ways of working, and capability development within a growing AI function. Rewards & benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Rewards and benefits - Careers at AtkinsRéalis About AtkinsRéalis We're AtkinsRéalis, a world class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
25/07/2026
Full time
Overview Artificial Intelligence is transforming how organisations solve complex challenges, deliver value, and create new opportunities for clients and communities. Within Nuclear EMEA, we are seeking a Principal AI & Software Solutions Lead to join our Transformation team and help shape, develop, and deliver practical AI and digital solutions that address real business and client needs. Combining deep software engineering expertise with emerging technologies such as AI, automation, data, and digital solutions, you will play a key role in turning innovative ideas into meaningful outcomes. Our focus is not technology for technology's sake, but on enhancing delivery, improving decision-making, increasing efficiency, and enabling new ways of working in a responsible, secure, and commercially valuable manner. Reporting to the Transformation Director and working closely with the AI Delivery Lead, you will help evaluate opportunities, guide technical approaches, and support the progression of ideas into production-ready solutions. This is a hands-on leadership role with a key part to play in building a new AI and software solutions capability within Nuclear EMEA, helping to transform how the business identifies opportunities, develops solutions, and delivers value. Combining technical excellence, collaboration, and delivery leadership, you will help teams turn ambition into practical, scalable impact. Your role AI Use Case Assessment & Validation Stay connected to developments across the AI landscape, bringing insights and emerging good practices into the business. Partner with the AI team to assess proposed use cases, evaluating technology options, feasibility, value, effort, and risk. Work closely with business and client-facing teams to explore opportunities, shape solutions, and rapidly prototype ideas. Help identify practical and scalable approaches that align business needs with technological capabilities. Delivery & Technical Leadership Guide discovery activities, Proof of Concept development, and the transition of validated use cases into production-ready solutions. Apply expertise in Retrieval Augmented Generation (RAG), retrieval strategies, and Large Language Model (LLM) orchestration to support solution delivery. Design solution architectures using cloud AI platforms, including Azure AI Foundry or equivalent technologies, and vector databases. Act as a trusted bridge between technical teams and business stakeholders, translating complex concepts into clear and actionable outcomes. Support the delivery of secure, scalable, and sustainable solutions that create lasting value. Team Leadership & Growth Foster a collaborative and inclusive environment where software engineers can thrive while delivering AI and agentic solutions. Provide technical direction and hands on support throughout delivery, promoting strong architecture, code quality, and production readiness practices. Support the development of junior and mid level engineers through coaching, mentoring, constructive feedback, and knowledge sharing. Help build team capability by aligning resources, developing talent, and supporting the effective mobilisation of teams across a growing portfolio of work. Encourage continuous learning and create opportunities for others to strengthen their skills and expertise. Standards & Organisational Learning Partner with the AI Delivery Lead and Transformation Director to identify emerging opportunities, lessons learned, risks, and areas for improvement. Contribute to the continuous enhancement of governance, standards, and ways of working. Share knowledge and insights across teams to strengthen organisational capability and support long term growth. Bring a proactive and collaborative approach, helping teams overcome challenges, maintain momentum, and achieve successful outcomes together. About you Bring strong software engineering expertise, including experience with Python or similar programming languages, APIs, version control, testing, and collaborative development practices. Demonstrate experience developing, deploying, or supporting digital, automation, data, or AI enabled solutions within a professional environment. Apply knowledge of modern AI concepts and technologies, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, agentic systems, or related areas. Have experience working with cloud based platforms and services, with an appreciation of scalability, performance, security, and cost considerations. Show the ability to evaluate business challenges and identify practical technology solutions, balancing technical possibilities with delivery effort, risk, and value. Bring strong problem solving skills and the ability to navigate evolving or ambiguous environments with a structured and thoughtful approach. Communicate effectively with both technical and non technical stakeholders, building trust, understanding, and alignment. Demonstrate a passion for emerging technologies, continuous learning, and applying innovation to real world challenges. Contribute experience gained through Proofs of Concept, prototypes, or pilot initiatives involving AI, automation, data analytics, or digital technologies. Bring exposure to Azure AI Foundry, Azure OpenAI Services, vector databases, cloud native architectures, or similar technologies. Apply knowledge of RAG architectures, AI orchestration frameworks, or agentic workflows. Demonstrate an understanding of data governance, information security, and Responsible AI principles. Support the growth of others through mentoring, coaching, or knowledge sharing activities. Bring experience working within large, complex, or highly regulated organisations. Apply an understanding of software architecture principles and the delivery of maintainable, production ready solutions. Show an interest in helping shape engineering standards, ways of working, and capability development within a growing AI function. Rewards & benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Rewards and benefits - Careers at AtkinsRéalis About AtkinsRéalis We're AtkinsRéalis, a world class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
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 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.
Principal AI & Software Solutions LeadApplylocations: GB.Bristol.The Hub: GB.Derby.4 Roundhouse Road: GB.London.Nova North: GB.Manchester.Piccadilly: GB.Epsom.Woodcote Grovetime type: Full timeposted on: Posted Todayjob requisition id: R-159945 Job Description OverviewArtificial Intelligence is transforming how organisations solve complex challenges, deliver value, and create new opportunities for clients and communities. Within Nuclear EMEA, we are seeking a Principal AI & Software Solutions Lead to join our Transformation team and help shape, develop, and deliver practical AI and digital solutions that address real business and client needs. Combining deep software engineering expertise with emerging technologies such as AI, automation, data, and digital solutions, you will play a key role in turning innovative ideas into meaningful outcomes. Our focus is not technology for technology's sake, but on enhancing delivery, improving decision-making, increasing efficiency, and enabling new ways of working in a responsible, secure, and commercially valuable manner.Reporting to the Transformation Director and working closely with the AI Delivery Lead, you will help evaluate opportunities, guide technical approaches, and support the progression of ideas into production-ready solutions. This is a hands-on leadership role with a key part to play in building a new AI and software solutions capability within Nuclear EMEA, helping to transform how the business identifies opportunities, develops solutions, and delivers value. Combining technical excellence, collaboration, and delivery leadership, you will help teams turn ambition into practical, scalable impact. Your role AI Use Case Assessment & Validation Stay connected to developments across the AI landscape, bringing insights and emerging good practices into the business. Partner with the AI team to assess proposed use cases, evaluating technology options, feasibility, value, effort, and risk. Work closely with business and client-facing teams to explore opportunities, shape solutions, and rapidly prototype ideas. Help identify practical and scalable approaches that align business needs with technological capabilities. Delivery & Technical Leadership Guide discovery activities, Proof of Concept development, and the transition of validated use cases into production-ready solutions. Apply expertise in Retrieval Augmented Generation (RAG), retrieval strategies, and Large Language Model (LLM) orchestration to support solution delivery. Design solution architectures using cloud AI platforms, including Azure AI Foundry or equivalent technologies, and vector databases. Act as a trusted bridge between technical teams and business stakeholders, translating complex concepts into clear and actionable outcomes. Support the delivery of secure, scalable, and sustainable solutions that create lasting value. Team Leadership & Growth Foster a collaborative and inclusive environment where software engineers can thrive while delivering AI and agentic solutions. Provide technical direction and hands-on support throughout delivery, promoting strong architecture, code quality, and production readiness practices. Support the development of junior and mid-level engineers through coaching, mentoring, constructive feedback, and knowledge sharing. Help build team capability by aligning resources, developing talent, and supporting the effective mobilisation of teams across a growing portfolio of work. Encourage continuous learning and create opportunities for others to strengthen their skills and expertise. Standards & Organisational Learning Partner with the AI Delivery Lead and Transformation Director to identify emerging opportunities, lessons learned, risks, and areas for improvement. Contribute to the continuous enhancement of governance, standards, and ways of working. Share knowledge and insights across teams to strengthen organisational capability and support long-term growth. Bring a proactive and collaborative approach, helping teams overcome challenges, maintain momentum, and achieve successful outcomes together. About you Bring strong software engineering expertise, including experience with Python or similar programming languages, APIs, version control, testing, and collaborative development practices. Demonstrate experience developing, deploying, or supporting digital, automation, data, or AI-enabled solutions within a professional environment. Apply knowledge of modern AI concepts and technologies, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, agentic systems, or related areas. Have experience working with cloud-based platforms and services, with an appreciation of scalability, performance, security, and cost considerations. Show the ability to evaluate business challenges and identify practical technology solutions, balancing technical possibilities with delivery effort, risk, and value. Bring strong problem-solving skills and the ability to navigate evolving or ambiguous environments with a structured and thoughtful approach. Communicate effectively with both technical and non-technical stakeholders, building trust, understanding, and alignment. Demonstrate a passion for emerging technologies, continuous learning, and applying innovation to real-world challenges. Contribute experience gained through Proofs of Concept, prototypes, or pilot initiatives involving AI, automation, data analytics, or digital technologies. Bring exposure to Azure AI Foundry, Azure OpenAI Services, vector databases, cloud-native architectures, or similar technologies. Apply knowledge of RAG architectures, AI orchestration frameworks, or agentic workflows. Demonstrate an understanding of data governance, information security, and Responsible AI principles. Support the growth of others through mentoring, coaching, or knowledge-sharing activities. Bring experience working within large, complex, or highly regulated organisations. Apply an understanding of software architecture principles and the delivery of maintainable, production-ready solutions. Show an interest in helping shape engineering standards, ways of working, and capability development within a growing AI function. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.Rewards and benefits - Careers at AtkinsRéalis About AtkinsRéalisWe're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
21/07/2026
Full time
Principal AI & Software Solutions LeadApplylocations: GB.Bristol.The Hub: GB.Derby.4 Roundhouse Road: GB.London.Nova North: GB.Manchester.Piccadilly: GB.Epsom.Woodcote Grovetime type: Full timeposted on: Posted Todayjob requisition id: R-159945 Job Description OverviewArtificial Intelligence is transforming how organisations solve complex challenges, deliver value, and create new opportunities for clients and communities. Within Nuclear EMEA, we are seeking a Principal AI & Software Solutions Lead to join our Transformation team and help shape, develop, and deliver practical AI and digital solutions that address real business and client needs. Combining deep software engineering expertise with emerging technologies such as AI, automation, data, and digital solutions, you will play a key role in turning innovative ideas into meaningful outcomes. Our focus is not technology for technology's sake, but on enhancing delivery, improving decision-making, increasing efficiency, and enabling new ways of working in a responsible, secure, and commercially valuable manner.Reporting to the Transformation Director and working closely with the AI Delivery Lead, you will help evaluate opportunities, guide technical approaches, and support the progression of ideas into production-ready solutions. This is a hands-on leadership role with a key part to play in building a new AI and software solutions capability within Nuclear EMEA, helping to transform how the business identifies opportunities, develops solutions, and delivers value. Combining technical excellence, collaboration, and delivery leadership, you will help teams turn ambition into practical, scalable impact. Your role AI Use Case Assessment & Validation Stay connected to developments across the AI landscape, bringing insights and emerging good practices into the business. Partner with the AI team to assess proposed use cases, evaluating technology options, feasibility, value, effort, and risk. Work closely with business and client-facing teams to explore opportunities, shape solutions, and rapidly prototype ideas. Help identify practical and scalable approaches that align business needs with technological capabilities. Delivery & Technical Leadership Guide discovery activities, Proof of Concept development, and the transition of validated use cases into production-ready solutions. Apply expertise in Retrieval Augmented Generation (RAG), retrieval strategies, and Large Language Model (LLM) orchestration to support solution delivery. Design solution architectures using cloud AI platforms, including Azure AI Foundry or equivalent technologies, and vector databases. Act as a trusted bridge between technical teams and business stakeholders, translating complex concepts into clear and actionable outcomes. Support the delivery of secure, scalable, and sustainable solutions that create lasting value. Team Leadership & Growth Foster a collaborative and inclusive environment where software engineers can thrive while delivering AI and agentic solutions. Provide technical direction and hands-on support throughout delivery, promoting strong architecture, code quality, and production readiness practices. Support the development of junior and mid-level engineers through coaching, mentoring, constructive feedback, and knowledge sharing. Help build team capability by aligning resources, developing talent, and supporting the effective mobilisation of teams across a growing portfolio of work. Encourage continuous learning and create opportunities for others to strengthen their skills and expertise. Standards & Organisational Learning Partner with the AI Delivery Lead and Transformation Director to identify emerging opportunities, lessons learned, risks, and areas for improvement. Contribute to the continuous enhancement of governance, standards, and ways of working. Share knowledge and insights across teams to strengthen organisational capability and support long-term growth. Bring a proactive and collaborative approach, helping teams overcome challenges, maintain momentum, and achieve successful outcomes together. About you Bring strong software engineering expertise, including experience with Python or similar programming languages, APIs, version control, testing, and collaborative development practices. Demonstrate experience developing, deploying, or supporting digital, automation, data, or AI-enabled solutions within a professional environment. Apply knowledge of modern AI concepts and technologies, including Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, agentic systems, or related areas. Have experience working with cloud-based platforms and services, with an appreciation of scalability, performance, security, and cost considerations. Show the ability to evaluate business challenges and identify practical technology solutions, balancing technical possibilities with delivery effort, risk, and value. Bring strong problem-solving skills and the ability to navigate evolving or ambiguous environments with a structured and thoughtful approach. Communicate effectively with both technical and non-technical stakeholders, building trust, understanding, and alignment. Demonstrate a passion for emerging technologies, continuous learning, and applying innovation to real-world challenges. Contribute experience gained through Proofs of Concept, prototypes, or pilot initiatives involving AI, automation, data analytics, or digital technologies. Bring exposure to Azure AI Foundry, Azure OpenAI Services, vector databases, cloud-native architectures, or similar technologies. Apply knowledge of RAG architectures, AI orchestration frameworks, or agentic workflows. Demonstrate an understanding of data governance, information security, and Responsible AI principles. Support the growth of others through mentoring, coaching, or knowledge-sharing activities. Bring experience working within large, complex, or highly regulated organisations. Apply an understanding of software architecture principles and the delivery of maintainable, production-ready solutions. Show an interest in helping shape engineering standards, ways of working, and capability development within a growing AI function. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.Rewards and benefits - Careers at AtkinsRéalis About AtkinsRéalisWe're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.
We are seeking a skilled Software Engineer who will design, build, and maintain software systems that deliver business value. In this role, you will focus on code quality, architecture decisions, and reliable delivery while leveraging AI tools to enhance productivity. You will verify and review AI-generated code to ensure it meets our quality standards. You will bridge the gap between building products and solving real business problems through rapid solution delivery and deep domain expertise. As part of the discovery to scale pipeline, you will identify recurring patterns and lead validated solutions generalization into enterprise capabilities. This role encompasses organization wide technical strategy and architectural direction. You will define strategic direction, be accountable for outcomes, shape organizational practices, and maintain external industry visibility. You will handle organizational scale complexity, creating clarity from chaos. ROLE RESPONSIBILITIES DELIVERY Application Deployment: Shape deployment strategy across the business unit, drive platform adoption, establish deployment best practices at scale, and demonstrate deployment architecture expertise. Data Integration: Define data integration patterns and best practices, architect large scale data flows, solve complex integration challenges, and act as the authority on enterprise data integration. Full Stack Development: Work comfortably in any language, rapidly acquire new skills, deliver production solutions in days, shape full stack practices, and exemplify polymathic engineering. Problem Discovery: Shape approaches to problem discovery, transform ambiguous situations into clear opportunities, influence how teams engage with business problems, and become the go to person for undefined challenges. Prototype to Production: Shape prototype to production practices, define standards for handoff, establish quality gates for each conversion layer, and efficiently turn validated prototypes into production systems. ARTIFICIAL INTELLIGENCE AI Engineering Strategy: Pioneer AI integration patterns, publish on AI augmented development, and lead AI in engineering. AI Evaluation & Observability: Shape AI observability and evaluation practices, pioneer novel evaluation methodologies, contribute to industry standards for LLM evaluation, and lead AI quality assurance at scale. AI Literacy: Shape AI literacy programs, contribute to industry understanding, speak publicly on AI applications, and lead AI thought leadership. AI Augmented Development: Shape AI development tooling strategy, pioneer new patterns, and balance speed with verification rigor. LLM Integration: Shape LLM integration strategy, architect multi provider gateway patterns, drive enterprise LLM governance, and lead LLM integration expertise. DOCUMENTATION Knowledge Strategy: Enable broad knowledge sharing and achieve documentation excellence. Developer Experience: Create innovative approaches to internal platforms, build high adoption self service capabilities, and influence industry practices. Knowledge Management: Build knowledge sharing organizations, drive learning culture, and provide governance frameworks. Pattern Generalization: Define organizational approach to pattern generalization, balance standardization with field flexibility, and build platform capabilities from field discoveries. Technical Writing: Innovate documentation approaches, maintain exceptional clarity, and lead documentation initiatives. MACHINE LEARNING ML Strategy: Lead enterprise ML initiatives and innovate on ML approaches across the business unit. Model Development: Innovate on ML for novel problems, shape strategy, and contribute to research or publication. Model Fine Tuning: Innovate fine tuning approaches, shape customization strategy, and serve as a fine tuning authority. Retrieval Augmentation: Innovate on RAG architectures, shape strategy, and contribute to research or tooling. BUSINESS Technology Driven Strategy: Represent the technical perspective at executive level and bridge engineering and business. Business Immersion: Influence domain strategy, embody the immersion mindset, and shape engineering engagement with business. Stakeholder Management: Shape stakeholder practices, manage executive relationships, and build exceptional partnerships. PEOPLE Technical Leadership: Develop leaders, shape talent strategy, and build high performing teams. Multi Audience Communication: Represent engineering externally, communicate across all levels, and bridge audience gaps. Team Collaboration: Cultivate collaborative culture, transform dysfunctional dynamics, and mentor collaboration excellence. ROLE BEHAVIOURS Curiosity: Shape culture around continuous learning and experimental initiatives. Outcome Ownership: Define accountability standards and drive transformational initiatives. Polymath Orientation: Champion cross disciplinary learning and holistic solutions. Precision Communication: Mentor precise communication and drive clarity across roles. Systems Thinking: Shape system design practices, conduct chaos engineering, and bridge technical systems with business processes. QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, or related field with extensive relevant experience. Deep technical expertise with a proven track record of organization wide technical leadership. EXPERT LEVEL SKILLS Business Immersion: Recognized thought leader shaping strategy and engagement. Data Integration: Define patterns, architect large scale flows, and lead enterprise integration. Full Stack Development: Deliver production solutions quickly, shape practices, and exemplify polymathy. Multi Audience Communication: Shape communication practices, represent externally, and bridge audiences. Problem Discovery: Transform ambiguous situations, guide business problem engagement, and lead undefined challenges. Rapid Prototyping & Validation: Shape rapid validation culture, define prototype to production standards, and deliver in days. Stakeholder Management: Manage executive relationships and build exceptional partnerships. Team Collaboration: Build collaborative culture and mentor collaboration excellence. PRACTITIONER LEVEL SKILLS AI Evaluation & Verification: Lead governance, create evaluation standards, and train on AI verification. AI Literacy: Guide adoption decisions, assess risks, and train responsible use. AI Augmented Development: Optimize tool usage, train on workflows, evaluate new tools, and balance speed with verification. Architecture & Design: Design complex systems, evaluate options, guide decisions, and mentor architecture. Code Quality & Review: Enforce standards, mentor code review, ensure AI verification depth, and drive testing strategies. Developer Experience: Lead initiatives, design self service platforms, establish metrics, conduct research, and mentor platform thinking. Knowledge Management: Lead initiatives, create knowledge systems, and mentor sharing. Pattern Generalization: Lead initiatives, define criteria, and mentor abstraction design. Service Management: Lead practices, optimize portfolios, balance investments, and train service thinking. Site Reliability Engineering: Define standards, drive incident improvements, design capacity, and mentor SRE practices. Technical Writing: Define standards, create systems and templates, train on spec driven development, and ensure quality. WORKING LEVEL SKILLS Cloud Platforms: Design solutions, manage infrastructure as code, implement security, and troubleshoot. Data Modeling: Create efficient models, optimize queries, handle migrations, and choose storage. DevOps & CI/CD: Build pipelines, manage infrastructure as code, implement monitoring, and design deployment strategies. Lean Thinking & Flow: Optimize processes, measure cycle time, remove bottlenecks, and maintain quality. Technical Debt Management: Prioritize systematically, balance debt and features, and make pragmatic trade offs. Time Management & Deep Work: Protect focused time, balance priorities, minimize context switching, and help others understand capacity. Work Location Assignment: Hybrid We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating diversity in all its forms, allowing us to be as diverse as the patients and communities we serve. We are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to apply with confidence, knowing we will make reasonable adjustments to support your application and future career. Pfizer endeavors to make our careers website accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please email . Requests for accommodation are accepted only for accessibility purposes. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI use guidelines available on Pfizer Careers.
18/07/2026
Full time
We are seeking a skilled Software Engineer who will design, build, and maintain software systems that deliver business value. In this role, you will focus on code quality, architecture decisions, and reliable delivery while leveraging AI tools to enhance productivity. You will verify and review AI-generated code to ensure it meets our quality standards. You will bridge the gap between building products and solving real business problems through rapid solution delivery and deep domain expertise. As part of the discovery to scale pipeline, you will identify recurring patterns and lead validated solutions generalization into enterprise capabilities. This role encompasses organization wide technical strategy and architectural direction. You will define strategic direction, be accountable for outcomes, shape organizational practices, and maintain external industry visibility. You will handle organizational scale complexity, creating clarity from chaos. ROLE RESPONSIBILITIES DELIVERY Application Deployment: Shape deployment strategy across the business unit, drive platform adoption, establish deployment best practices at scale, and demonstrate deployment architecture expertise. Data Integration: Define data integration patterns and best practices, architect large scale data flows, solve complex integration challenges, and act as the authority on enterprise data integration. Full Stack Development: Work comfortably in any language, rapidly acquire new skills, deliver production solutions in days, shape full stack practices, and exemplify polymathic engineering. Problem Discovery: Shape approaches to problem discovery, transform ambiguous situations into clear opportunities, influence how teams engage with business problems, and become the go to person for undefined challenges. Prototype to Production: Shape prototype to production practices, define standards for handoff, establish quality gates for each conversion layer, and efficiently turn validated prototypes into production systems. ARTIFICIAL INTELLIGENCE AI Engineering Strategy: Pioneer AI integration patterns, publish on AI augmented development, and lead AI in engineering. AI Evaluation & Observability: Shape AI observability and evaluation practices, pioneer novel evaluation methodologies, contribute to industry standards for LLM evaluation, and lead AI quality assurance at scale. AI Literacy: Shape AI literacy programs, contribute to industry understanding, speak publicly on AI applications, and lead AI thought leadership. AI Augmented Development: Shape AI development tooling strategy, pioneer new patterns, and balance speed with verification rigor. LLM Integration: Shape LLM integration strategy, architect multi provider gateway patterns, drive enterprise LLM governance, and lead LLM integration expertise. DOCUMENTATION Knowledge Strategy: Enable broad knowledge sharing and achieve documentation excellence. Developer Experience: Create innovative approaches to internal platforms, build high adoption self service capabilities, and influence industry practices. Knowledge Management: Build knowledge sharing organizations, drive learning culture, and provide governance frameworks. Pattern Generalization: Define organizational approach to pattern generalization, balance standardization with field flexibility, and build platform capabilities from field discoveries. Technical Writing: Innovate documentation approaches, maintain exceptional clarity, and lead documentation initiatives. MACHINE LEARNING ML Strategy: Lead enterprise ML initiatives and innovate on ML approaches across the business unit. Model Development: Innovate on ML for novel problems, shape strategy, and contribute to research or publication. Model Fine Tuning: Innovate fine tuning approaches, shape customization strategy, and serve as a fine tuning authority. Retrieval Augmentation: Innovate on RAG architectures, shape strategy, and contribute to research or tooling. BUSINESS Technology Driven Strategy: Represent the technical perspective at executive level and bridge engineering and business. Business Immersion: Influence domain strategy, embody the immersion mindset, and shape engineering engagement with business. Stakeholder Management: Shape stakeholder practices, manage executive relationships, and build exceptional partnerships. PEOPLE Technical Leadership: Develop leaders, shape talent strategy, and build high performing teams. Multi Audience Communication: Represent engineering externally, communicate across all levels, and bridge audience gaps. Team Collaboration: Cultivate collaborative culture, transform dysfunctional dynamics, and mentor collaboration excellence. ROLE BEHAVIOURS Curiosity: Shape culture around continuous learning and experimental initiatives. Outcome Ownership: Define accountability standards and drive transformational initiatives. Polymath Orientation: Champion cross disciplinary learning and holistic solutions. Precision Communication: Mentor precise communication and drive clarity across roles. Systems Thinking: Shape system design practices, conduct chaos engineering, and bridge technical systems with business processes. QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, or related field with extensive relevant experience. Deep technical expertise with a proven track record of organization wide technical leadership. EXPERT LEVEL SKILLS Business Immersion: Recognized thought leader shaping strategy and engagement. Data Integration: Define patterns, architect large scale flows, and lead enterprise integration. Full Stack Development: Deliver production solutions quickly, shape practices, and exemplify polymathy. Multi Audience Communication: Shape communication practices, represent externally, and bridge audiences. Problem Discovery: Transform ambiguous situations, guide business problem engagement, and lead undefined challenges. Rapid Prototyping & Validation: Shape rapid validation culture, define prototype to production standards, and deliver in days. Stakeholder Management: Manage executive relationships and build exceptional partnerships. Team Collaboration: Build collaborative culture and mentor collaboration excellence. PRACTITIONER LEVEL SKILLS AI Evaluation & Verification: Lead governance, create evaluation standards, and train on AI verification. AI Literacy: Guide adoption decisions, assess risks, and train responsible use. AI Augmented Development: Optimize tool usage, train on workflows, evaluate new tools, and balance speed with verification. Architecture & Design: Design complex systems, evaluate options, guide decisions, and mentor architecture. Code Quality & Review: Enforce standards, mentor code review, ensure AI verification depth, and drive testing strategies. Developer Experience: Lead initiatives, design self service platforms, establish metrics, conduct research, and mentor platform thinking. Knowledge Management: Lead initiatives, create knowledge systems, and mentor sharing. Pattern Generalization: Lead initiatives, define criteria, and mentor abstraction design. Service Management: Lead practices, optimize portfolios, balance investments, and train service thinking. Site Reliability Engineering: Define standards, drive incident improvements, design capacity, and mentor SRE practices. Technical Writing: Define standards, create systems and templates, train on spec driven development, and ensure quality. WORKING LEVEL SKILLS Cloud Platforms: Design solutions, manage infrastructure as code, implement security, and troubleshoot. Data Modeling: Create efficient models, optimize queries, handle migrations, and choose storage. DevOps & CI/CD: Build pipelines, manage infrastructure as code, implement monitoring, and design deployment strategies. Lean Thinking & Flow: Optimize processes, measure cycle time, remove bottlenecks, and maintain quality. Technical Debt Management: Prioritize systematically, balance debt and features, and make pragmatic trade offs. Time Management & Deep Work: Protect focused time, balance priorities, minimize context switching, and help others understand capacity. Work Location Assignment: Hybrid We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating diversity in all its forms, allowing us to be as diverse as the patients and communities we serve. We are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to apply with confidence, knowing we will make reasonable adjustments to support your application and future career. Pfizer endeavors to make our careers website accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please email . Requests for accommodation are accepted only for accessibility purposes. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI use guidelines available on Pfizer Careers.
Lead Solution Engineer - Consumer GoodsApplyremote type: Office - Flexiblelocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: JR345559 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategorySalesJob Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.Do you want to be part of an outstanding team that is experiencing tremendous success in selling to the UKI Consumer Goods Sector? Do you have deep experience in complex transformation projects? Come join us at the Salesforce Solution Engineering team! As a Principal Solution Engineer, you will be a lead architect of the "Agentic Enterprise," helping our customers unify humans and AI agents to drive profitable growth through Agentforce for Consumer Goods. Through collaboration with the customer, the Products team, and Professional Services, the Solutions Engineers develop thoughtful solutions that help our customers connect with their customers in new ways. This unique perspective creates an opportunity for the SE to interact with the entire customer lifecycle. If you enjoy a fast-paced environment full of exciting challenges and opportunities to build compelling Solutions then the Solution Engineering Team is the department for you. The SE world is a dynamic, constantly evolving environment where expertise in design, business consulting and technology is used every day to drive innovation. The Solution Engineer must have a strong desire to demonstrate their technical and/or sales skills, including the ability to solicit business requirements, develop a technical sales strategy, configure and successfully demonstrate the solutions that address these requirements and provide business value. As an Account Solution Engineer, also known as a "Presales Consultant," "Sales Consultant", "Pre -Sales Engineer" , "Sales Engineer" or "SE", you'll be a key player in the sales cycle, delivering thought leadership and owning solutions to enhance our customers' experience. You'll collaborate with colleagues, support our sales team, and translate business objectives into compelling recommendations. With your technical and sales skills, you'll present our product offerings, address objections, and inspire confidence in our technology infrastructure. The Account Solution Engineer will act as a trusted advisor to our customers while aiding the customer's transformational journey. Responsibilities: Coordinate and lead the entire solution cycle through close collaboration with other teams. Understand the customer's needs, and establish Salesforce's product as the best solution that solves unique challenges. Convey a deep understanding of the client's industry and technology as it pertains to Salesforce's solutions for Consumer Goods. Develop and deliver innovative custom solutions, build and present customized demos of Salesforce products including solution concepts to key decision-makers to address their business issues and needs showing business value. Participate in all appropriate product, sales, and procedural training and certifications to acquire and maintain the knowledge vital to be effective in the position. Attain quarterly and annual objectives assigned by management. Respond efficiently to RFPs. Lead the technical side of the sales cycle. Have a strong curiosity about growing your career and participating in our internal training programs and mentorship initiatives. Design and prototype agentic workflows using Agentforce to solve complex business challenges. Identify high-impact opportunities for autonomous agent deployment in areas such as Telesales, Visit Management, Proactive Maintenance, and Trade Promotion Management. Guide clients on the strategic shift from legacy CRM workflows to an Agentic data platform where AI drives actionable insights.Required Qualifications: 10+ years of solution engineering, consultancy, delivery, or training success for an enterprise software solution organisation. Deep expertise in Agentforce for Consumer Goods, including autonomous AI design and the development of human-agent collaborative strategies. Experiences of selling into customers across the UK in the Consumer Goods and Retail sector Salesforce, or other, certifications related to Artificial Intelligence, specifically generative AI and LLM concepts Experience implementing Digital Transformation strategies, enterprise consulting and delivering increased success to their customers. Proven oral, written, presentation, and interpersonal communication and relationship skills. Proven time management skills in a dynamic team environment. Ability to work as part of a team to tackle problems in dynamic, energising environments. Inquisitive, practical, and passionate about technology and sharing knowledge. Loves to be the first to know something and to understand why and how things happen. Good at searching out information and experimenting, love to concentrate on a particular topic, and tackle puzzles. Good at explaining ideas and finding ways to keep people's attention. Willing and able to travel occasionally. Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, insurance industry and/or financial services experience, etc.). Relevant Salesforce certifications (Administrator, Service Cloud, Experience Cloud) and consulting experience are strongly recommended Computer studies Degree or equivalent relevant experience required. Experience will be evaluated based on the core proficiencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
17/07/2026
Full time
Lead Solution Engineer - Consumer GoodsApplyremote type: Office - Flexiblelocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: JR345559 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategorySalesJob Details About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.Do you want to be part of an outstanding team that is experiencing tremendous success in selling to the UKI Consumer Goods Sector? Do you have deep experience in complex transformation projects? Come join us at the Salesforce Solution Engineering team! As a Principal Solution Engineer, you will be a lead architect of the "Agentic Enterprise," helping our customers unify humans and AI agents to drive profitable growth through Agentforce for Consumer Goods. Through collaboration with the customer, the Products team, and Professional Services, the Solutions Engineers develop thoughtful solutions that help our customers connect with their customers in new ways. This unique perspective creates an opportunity for the SE to interact with the entire customer lifecycle. If you enjoy a fast-paced environment full of exciting challenges and opportunities to build compelling Solutions then the Solution Engineering Team is the department for you. The SE world is a dynamic, constantly evolving environment where expertise in design, business consulting and technology is used every day to drive innovation. The Solution Engineer must have a strong desire to demonstrate their technical and/or sales skills, including the ability to solicit business requirements, develop a technical sales strategy, configure and successfully demonstrate the solutions that address these requirements and provide business value. As an Account Solution Engineer, also known as a "Presales Consultant," "Sales Consultant", "Pre -Sales Engineer" , "Sales Engineer" or "SE", you'll be a key player in the sales cycle, delivering thought leadership and owning solutions to enhance our customers' experience. You'll collaborate with colleagues, support our sales team, and translate business objectives into compelling recommendations. With your technical and sales skills, you'll present our product offerings, address objections, and inspire confidence in our technology infrastructure. The Account Solution Engineer will act as a trusted advisor to our customers while aiding the customer's transformational journey. Responsibilities: Coordinate and lead the entire solution cycle through close collaboration with other teams. Understand the customer's needs, and establish Salesforce's product as the best solution that solves unique challenges. Convey a deep understanding of the client's industry and technology as it pertains to Salesforce's solutions for Consumer Goods. Develop and deliver innovative custom solutions, build and present customized demos of Salesforce products including solution concepts to key decision-makers to address their business issues and needs showing business value. Participate in all appropriate product, sales, and procedural training and certifications to acquire and maintain the knowledge vital to be effective in the position. Attain quarterly and annual objectives assigned by management. Respond efficiently to RFPs. Lead the technical side of the sales cycle. Have a strong curiosity about growing your career and participating in our internal training programs and mentorship initiatives. Design and prototype agentic workflows using Agentforce to solve complex business challenges. Identify high-impact opportunities for autonomous agent deployment in areas such as Telesales, Visit Management, Proactive Maintenance, and Trade Promotion Management. Guide clients on the strategic shift from legacy CRM workflows to an Agentic data platform where AI drives actionable insights.Required Qualifications: 10+ years of solution engineering, consultancy, delivery, or training success for an enterprise software solution organisation. Deep expertise in Agentforce for Consumer Goods, including autonomous AI design and the development of human-agent collaborative strategies. Experiences of selling into customers across the UK in the Consumer Goods and Retail sector Salesforce, or other, certifications related to Artificial Intelligence, specifically generative AI and LLM concepts Experience implementing Digital Transformation strategies, enterprise consulting and delivering increased success to their customers. Proven oral, written, presentation, and interpersonal communication and relationship skills. Proven time management skills in a dynamic team environment. Ability to work as part of a team to tackle problems in dynamic, energising environments. Inquisitive, practical, and passionate about technology and sharing knowledge. Loves to be the first to know something and to understand why and how things happen. Good at searching out information and experimenting, love to concentrate on a particular topic, and tackle puzzles. Good at explaining ideas and finding ways to keep people's attention. Willing and able to travel occasionally. Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, insurance industry and/or financial services experience, etc.). Relevant Salesforce certifications (Administrator, Service Cloud, Experience Cloud) and consulting experience are strongly recommended Computer studies Degree or equivalent relevant experience required. Experience will be evaluated based on the core proficiencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.Unleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Senior AI Engineer Location: Scotland (Edinburgh Hybrid) Practice Area: Technology & Engineering Type: Permanent Shape the future of AI-powered financial services through cutting-edge generative AI engineering and enterprise-scale innovation. The Role We're looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you'll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You'll work hands on across the full AI engineering lifecycle, from architecting intelligent multi agent systems to deploying scalable production grade AI applications within enterprise environments. As a senior consultant, you'll also collaborate closely with multidisciplinary teams and client stakeholders to drive innovation, accelerate adoption, and deliver measurable business impact. This role is aligned to our Scotland office, with flexibility to work from either Glasgow or Edinburgh depending on client expectations. What You'll Do Architect and develop autonomous AI systems leveraging multi modal large language models across text, image, audio, and video Design and implement agentic workflows using prompt engineering, Retrieval Augmented Generation (RAG), APIs, and enterprise data integrations Fine tune, optimize, and deploy large language and multi modal models with a focus on scalability, reliability, and low latency performance Build scalable MLOps pipelines and cloud native AI applications to support secure, production grade deployments Collaborate with clients and cross functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments What We're Looking For Bachelor's degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline Proven hands on experience deploying LLMs and multi modal AI models within enterprise or large scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud native AI deployment architectures Excellent communication, stakeholder management, and problem solving skills within agile delivery environments Bonus Points For Experience building AI agent frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices Why Join Capco Deliver high impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy Benefits Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Your growth, your way - minimum 40 Hours of Training Annually. Take your pick; workshops, certifications, e learning. Also, Business Coach assigned from Day One: Get one on one guidance to fast track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
12/07/2026
Full time
Senior AI Engineer Location: Scotland (Edinburgh Hybrid) Practice Area: Technology & Engineering Type: Permanent Shape the future of AI-powered financial services through cutting-edge generative AI engineering and enterprise-scale innovation. The Role We're looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you'll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You'll work hands on across the full AI engineering lifecycle, from architecting intelligent multi agent systems to deploying scalable production grade AI applications within enterprise environments. As a senior consultant, you'll also collaborate closely with multidisciplinary teams and client stakeholders to drive innovation, accelerate adoption, and deliver measurable business impact. This role is aligned to our Scotland office, with flexibility to work from either Glasgow or Edinburgh depending on client expectations. What You'll Do Architect and develop autonomous AI systems leveraging multi modal large language models across text, image, audio, and video Design and implement agentic workflows using prompt engineering, Retrieval Augmented Generation (RAG), APIs, and enterprise data integrations Fine tune, optimize, and deploy large language and multi modal models with a focus on scalability, reliability, and low latency performance Build scalable MLOps pipelines and cloud native AI applications to support secure, production grade deployments Collaborate with clients and cross functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments What We're Looking For Bachelor's degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline Proven hands on experience deploying LLMs and multi modal AI models within enterprise or large scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud native AI deployment architectures Excellent communication, stakeholder management, and problem solving skills within agile delivery environments Bonus Points For Experience building AI agent frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices Why Join Capco Deliver high impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy Benefits Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Your growth, your way - minimum 40 Hours of Training Annually. Take your pick; workshops, certifications, e learning. Also, Business Coach assigned from Day One: Get one on one guidance to fast track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.
We're looking for an expert level Technical Architect to join one of our high-impact teams inside Citi's CTO organisation. You'll sit within Developer Enablement, a group focused on innovation, developer platforms and internal tools used across the bank, where we experiment and ship fast, like a startup inside a global bank. Our mission is to drive productivity by streamlining/automating processes & make the best tools available for our 30k engineers. At Citi's scale saving tens of minutes per day, equates to £10,000,000s of savings. We believe happy engineers make the best engineers and are a technology managed department. Opportunities in CTO There are many exciting opportunities for you in and around our SDLC and the automation journey we are on. Initially we are looking for a strong, hands on technical architect for our strategic Release automation platform (Release on Demand) but we support opportunities to extend your sphere of influence across various related up and downstream platforms which is highly encouraged. Release on Demand (RoD) RoD is our strategic release management platform and the primary focus of this role. Built internally approximately three years ago, the platform has quickly become our strategic release generation and deployment tool used across all lines of business. Last year it generated 60k releases and automated the deployment of approximately 75% of them. We expect its user base and release volume to double again this year as the enterprise's drive to automated and strategic tooling continues. RoD is more than a release tool - it is a codified governance engine, embedding compliance controls, SDLC guardrails, and DORA best practices directly into the delivery pipeline. It enables teams to move quickly whilst maintaining quality gates to ensure the correct SDLC and procedural requirements of the firm are upheld. As the platform's footprint grows rapidly, so does its architectural complexity - and the need for a world-class architect to ensure it scales with confidence. The platform is a cornerstone of automated governance within the SDLC and software delivery space. There are many ongoing initiatives to support further SDLC automations, and the wider team is expanding. We need a highly skilled architect to ensure the platform's solidity, availability, and continued evolution. SDLC Automation is a greenfield initiative that builds on the success we've had in automating the SDLC and takes it further. This blue-sky project looks at ways we can greatly improve the SDLC process at Citi. The use of Artificial Intelligence is planned to further automate and remove manual human-led processes that add toil to the SDLC process. Your architectural thinking will help shape both initiatives. Why you'll love working here You get to work in the engineering focused part of the bank, the Chief Technology Office, building tools for other engineers You'll work and lead small, agile team, in an organisation led by technologists and use the latest AI tooling to complete your work. You'll impact the daily experience of tens of thousands of engineers at one of the largest engineering organisations in the world. Our culture runs on engineering craftsmanship. Leadership here actually understands what that means. We're proving what's possible inside a large organisation, and that means navigating some legacy alongside building the future. If you want everything perfect on day one, this isn't the right fit. If you want to help us get there, keep reading. The team is distributed across Belfast, Canada & London. You'll work closely with engineers across time zones and partner directly with product and platform leadership. What you will do Own the Architecture. You are the technical authority for the RoD platform. That means defining, documenting, and evolving the platform's architecture - from service boundaries and data models to event topology and deployment patterns. You ensure the platform is built to last and built to scale. Drive Scalability & Reliability. Lead the engineering effort to make RoD elastically scalable and enterprise-grade reliable. Design for high availability, graceful degradation, and zero-downtime deployments. Define SLOs, own the SRE practice for the platform, and be accountable when things need fixing. Define the Observability Strategy. Establish a comprehensive observability framework - distributed tracing, structured logging, metrics, dashboards, and alerting. The platform must be fully understood at all times. You will set the standard and ensure the team can operate with confidence. Establish End-to-End Testing. Design and champion a robust E2E testing strategy across the platform. From contract testing at service boundaries to full integration and regression suites, you will ensure the team can ship with confidence and catch regressions before they reach production. Lead Event-Driven Architecture. Evolve RoD's event-driven backbone - designing resilient, decoupled event flows. Ensure the platform's asynchronous patterns are well-governed, observable, and capable of supporting the firm's growing automation ambitions. Shape the Technical Roadmap. You'll have a real voice in our architecture and technical roadmap. You'll work directly with the product owner to make sure we're building the right things, in the right order, for the right reasons - translating business and compliance requirements into sound architectural decisions and prioritising technical debt appropriately. Make the team better. Thoughtful architectural reviews. Mentoring engineers. Unblocking people when they're stuck. Sharing what you know. Your success here is tied to the team's success, not just your own output. Stay ahead of GenAI. This space moves fast. We need someone who follows it seriously, brings new ideas back to the team, and actively applies what they're learning to the products we build. If you've been experimenting with new models, new tooling, or new patterns - that's exactly the kind of thinking we want in the room. Communicate like it matters. We're distributed across three continents. Clear, direct, proactive communication isn't a soft skill here. It's how the work gets done. You'll model it. What you should have Selection of tools and capabilities required across our platforms. We value multi-disciplined polyglot engineers but also understand and support the need for specialisms too across the wider department. Proven track record as a hands on Technical Architect or Principal Engineer on production-grade, high-traffic platforms Deep expertise in enterprise architecture patterns - microservices, event-driven systems, distributed systems design Hands on experience with event driven architecture and message queuing systems, particularly Apache Kafka Strong server side engineering skills: Kotlin is our primary development language. Designing, building and consuming domain specific RESTful services & APIs Proficiency with relational and/or NoSQL databases: PostgreSQL, MongoDB or Couchbase Demonstrated SRE or platform engineering experience - SLOs, incident management, reliability engineering at scale Experience defining and implementing observability strategies: distributed tracing, structured logging, metrics and alerting Proven experience leading technical projects and mentoring engineers Highly Desirable skills Experience with SDLC tooling, release management platforms, or CI/CD pipeline architecture Familiarity with ServiceNow integrations or ITSM workflow automation Contract first API design, such as OpenAPI / Swagger Understanding of containerisation (Docker) and orchestration (Kubernetes) Familiarity with CI/CD tools and automated deployments: Tekton, Harness or equivalent Familiarity with automated governance, compliance as code, or policy as code approaches SRE/DevOps - experience with scalability & observability at enterprise scale Comfortable collaborating with product, design, and UI engineers, product managers, and other stakeholders to understand requirements and deliver robust platform solutions AI experience is highly desirable but not mandatory Tools you'll use (depending on role) Server: Kotlin, Java, Spring Boot, http4k, ktor, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness Infra: OpenShift, Tekton, Harness Mac or PC - It's up to you. Access to time saving AI tools such as GitHub Copilot, Cognition.ai's Devin and Claude Code What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends EEO Statement Citi is an equal opportunity employer . click apply for full job details
07/07/2026
Full time
We're looking for an expert level Technical Architect to join one of our high-impact teams inside Citi's CTO organisation. You'll sit within Developer Enablement, a group focused on innovation, developer platforms and internal tools used across the bank, where we experiment and ship fast, like a startup inside a global bank. Our mission is to drive productivity by streamlining/automating processes & make the best tools available for our 30k engineers. At Citi's scale saving tens of minutes per day, equates to £10,000,000s of savings. We believe happy engineers make the best engineers and are a technology managed department. Opportunities in CTO There are many exciting opportunities for you in and around our SDLC and the automation journey we are on. Initially we are looking for a strong, hands on technical architect for our strategic Release automation platform (Release on Demand) but we support opportunities to extend your sphere of influence across various related up and downstream platforms which is highly encouraged. Release on Demand (RoD) RoD is our strategic release management platform and the primary focus of this role. Built internally approximately three years ago, the platform has quickly become our strategic release generation and deployment tool used across all lines of business. Last year it generated 60k releases and automated the deployment of approximately 75% of them. We expect its user base and release volume to double again this year as the enterprise's drive to automated and strategic tooling continues. RoD is more than a release tool - it is a codified governance engine, embedding compliance controls, SDLC guardrails, and DORA best practices directly into the delivery pipeline. It enables teams to move quickly whilst maintaining quality gates to ensure the correct SDLC and procedural requirements of the firm are upheld. As the platform's footprint grows rapidly, so does its architectural complexity - and the need for a world-class architect to ensure it scales with confidence. The platform is a cornerstone of automated governance within the SDLC and software delivery space. There are many ongoing initiatives to support further SDLC automations, and the wider team is expanding. We need a highly skilled architect to ensure the platform's solidity, availability, and continued evolution. SDLC Automation is a greenfield initiative that builds on the success we've had in automating the SDLC and takes it further. This blue-sky project looks at ways we can greatly improve the SDLC process at Citi. The use of Artificial Intelligence is planned to further automate and remove manual human-led processes that add toil to the SDLC process. Your architectural thinking will help shape both initiatives. Why you'll love working here You get to work in the engineering focused part of the bank, the Chief Technology Office, building tools for other engineers You'll work and lead small, agile team, in an organisation led by technologists and use the latest AI tooling to complete your work. You'll impact the daily experience of tens of thousands of engineers at one of the largest engineering organisations in the world. Our culture runs on engineering craftsmanship. Leadership here actually understands what that means. We're proving what's possible inside a large organisation, and that means navigating some legacy alongside building the future. If you want everything perfect on day one, this isn't the right fit. If you want to help us get there, keep reading. The team is distributed across Belfast, Canada & London. You'll work closely with engineers across time zones and partner directly with product and platform leadership. What you will do Own the Architecture. You are the technical authority for the RoD platform. That means defining, documenting, and evolving the platform's architecture - from service boundaries and data models to event topology and deployment patterns. You ensure the platform is built to last and built to scale. Drive Scalability & Reliability. Lead the engineering effort to make RoD elastically scalable and enterprise-grade reliable. Design for high availability, graceful degradation, and zero-downtime deployments. Define SLOs, own the SRE practice for the platform, and be accountable when things need fixing. Define the Observability Strategy. Establish a comprehensive observability framework - distributed tracing, structured logging, metrics, dashboards, and alerting. The platform must be fully understood at all times. You will set the standard and ensure the team can operate with confidence. Establish End-to-End Testing. Design and champion a robust E2E testing strategy across the platform. From contract testing at service boundaries to full integration and regression suites, you will ensure the team can ship with confidence and catch regressions before they reach production. Lead Event-Driven Architecture. Evolve RoD's event-driven backbone - designing resilient, decoupled event flows. Ensure the platform's asynchronous patterns are well-governed, observable, and capable of supporting the firm's growing automation ambitions. Shape the Technical Roadmap. You'll have a real voice in our architecture and technical roadmap. You'll work directly with the product owner to make sure we're building the right things, in the right order, for the right reasons - translating business and compliance requirements into sound architectural decisions and prioritising technical debt appropriately. Make the team better. Thoughtful architectural reviews. Mentoring engineers. Unblocking people when they're stuck. Sharing what you know. Your success here is tied to the team's success, not just your own output. Stay ahead of GenAI. This space moves fast. We need someone who follows it seriously, brings new ideas back to the team, and actively applies what they're learning to the products we build. If you've been experimenting with new models, new tooling, or new patterns - that's exactly the kind of thinking we want in the room. Communicate like it matters. We're distributed across three continents. Clear, direct, proactive communication isn't a soft skill here. It's how the work gets done. You'll model it. What you should have Selection of tools and capabilities required across our platforms. We value multi-disciplined polyglot engineers but also understand and support the need for specialisms too across the wider department. Proven track record as a hands on Technical Architect or Principal Engineer on production-grade, high-traffic platforms Deep expertise in enterprise architecture patterns - microservices, event-driven systems, distributed systems design Hands on experience with event driven architecture and message queuing systems, particularly Apache Kafka Strong server side engineering skills: Kotlin is our primary development language. Designing, building and consuming domain specific RESTful services & APIs Proficiency with relational and/or NoSQL databases: PostgreSQL, MongoDB or Couchbase Demonstrated SRE or platform engineering experience - SLOs, incident management, reliability engineering at scale Experience defining and implementing observability strategies: distributed tracing, structured logging, metrics and alerting Proven experience leading technical projects and mentoring engineers Highly Desirable skills Experience with SDLC tooling, release management platforms, or CI/CD pipeline architecture Familiarity with ServiceNow integrations or ITSM workflow automation Contract first API design, such as OpenAPI / Swagger Understanding of containerisation (Docker) and orchestration (Kubernetes) Familiarity with CI/CD tools and automated deployments: Tekton, Harness or equivalent Familiarity with automated governance, compliance as code, or policy as code approaches SRE/DevOps - experience with scalability & observability at enterprise scale Comfortable collaborating with product, design, and UI engineers, product managers, and other stakeholders to understand requirements and deliver robust platform solutions AI experience is highly desirable but not mandatory Tools you'll use (depending on role) Server: Kotlin, Java, Spring Boot, http4k, ktor, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness Infra: OpenShift, Tekton, Harness Mac or PC - It's up to you. Access to time saving AI tools such as GitHub Copilot, Cognition.ai's Devin and Claude Code What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends EEO Statement Citi is an equal opportunity employer . click apply for full job details
Developer Enablement, Technical Architect - Release on Demand (SVP)Applyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: We're looking for an expert level Technical Architect to join one of our high-impact teams inside Citi's CTO organisation. You'll sit within Developer Enablement, a group focused on innovation, developer platforms and internal tools used across the bank, where we experiment and ship fast, like a startup inside a global bank. Our mission is to drive productivity by streamlining/automating processes & make the best tools available for our 30k engineers. At Citi's scale saving tens of minutes per day, equates to £10,000,000s of savings.We believe happy engineers make the best engineers and are a technology managed department. Opportunities in CTO There are many exciting opportunities for you in and around our SDLC and the automation journey we are on. Initially we are looking for a strong, hands on technical architect for our strategic Release automation platform (Release on Demand) but we support opportunities to extend your sphere of influence across various related up and downstream platforms which is highly encouraged. Release on Demand (RoD) is our strategic release management platform and the primary focus of this role. Built internally approximately three years ago, the platform has quickly become our strategic release generation and deployment tool used across all lines of business. Last year it generated 60k releases and automated the deployment of approximately 75% of them. We expect its user base and release volume to doubling again this year such is the enterprise's drive to automated and strategic tooling.RoD is more than a release tool - it is a codified governance engine, embedding compliance controls, SDLC guardrails, and DORA best practices directly into the delivery pipeline. It enables teams to move quickly whilst maintaining quality gates to ensure the correct SDLC and procedural requirements of the firm are upheld. As the platform's footprint grows rapidly, so does its architectural complexity - and the need for a world-class architect to ensure it scales with confidence.The platform is a cornerstone of automated governance within the SDLC and software delivery space. There are many ongoing initiatives to support further SDLC automations, and the wider team is expanding. We need a highly skilled architect to ensure the platform's solidity, availability, and continued evolution. SDLC Automation is a greenfield initiative that builds on the success we've had in automating the SDLC and takes it further. This blue-sky project looks at ways we can greatly improve the SDLC process at Citi. The use of Artificial Intelligence is planned to further automate and remove manual human-led processes that add toil to the SDLC process. Your architectural thinking will help shape both initiatives Why you'll love working here: You get to work in the engineering focused part of the bank, the Chief Technology Office, building tools for other engineers You'll work and lead small, agile team, in an organisation led by technologists and use the latest AI tooling to complete your work. You'll impact the daily experience of tens of thousands of engineers at one of the largest engineering organisations in the world. Our culture runs on engineering craftsmanship. Leadership here actually understands what that means. We're proving what's possible inside a large organisation, and that means navigating some legacy alongside building the future. If you want everything perfect on day one, this isn't the right fit. If you want to help us get there, keep reading. The team is distributed across Belfast, Canada & London. You'll work closely with engineers across time zones and partner directly with product and platform leadership. What you will do Own the Architecture. You are the technical authority for the RoD platform. That means defining, documenting, and evolving the platform's architecture - from service boundaries and data models to event topology and deployment patterns. You ensure the platform is built to last and built to scale. Drive Scalability & Reliability. Lead the engineering effort to make RoD elastically scalable and enterprise-grade reliable. Design for high availability, graceful degradation, and zero-downtime deployments. Define SLOs, own the SRE practice for the platform, and be accountable when things need fixing. Define the Observability Strategy. Establish a comprehensive observability framework - distributed tracing, structured logging, metrics, dashboards, and alerting. The platform must be fully understood at all times. You will set the standard and ensure the team can operate with confidence. Establish End-to-End Testing. Design and champion a robust E2E testing strategy across the platform. From contract testing at service boundaries to full integration and regression suites, you will ensure the team can ship with confidence and catch regressions before they reach production. Lead Event-Driven Architecture. Evolve RoD's event-driven backbone - designing resilient, decoupled event flows. Ensure the platform's asynchronous patterns are well-governed, observable, and capable of supporting the firm's growing automation ambitions. Shape the Technical Roadmap. You'll have a real voice in our architecture and technical roadmap. You'll work directly with the product owner to make sure we're building the right things, in the right order, for the right reasons - translating business and compliance requirements into sound architectural decisions and prioritising technical debt appropriately. Make the team better. Thoughtful architectural reviews. Mentoring engineers. Unblocking people when they're stuck. Sharing what you know. Your success here is tied to the team's success, not just your own output. Stay ahead of GenAI. This space moves fast. We need someone who follows it seriously, brings new ideas back to the team, and actively applies what they're learning to the products we build. If you've been experimenting with new models, new tooling, or new patterns - that's exactly the kind of thinking we want in the room. Communicate like it matters. We're distributed across three continents. Clear, direct, proactive communication isn't a soft skill here. It's how the work gets done. You'll model it. What you should have: A selection of the tools and capabilities required across our platforms. We value multi-disciplined polyglot engineers but also understand and support the need for specialisms too across the wider department. Proven track record as a hands on Technical Architect or Principal Engineer on production-grade, high-traffic platforms Deep expertise in enterprise architecture patterns - microservices, event-driven systems, distributed systems design Hands-on experience with event-driven architecture and message queuing systems, particularly Apache Kafka Strong server-side engineering skills: Kotlin Is our primary development language. Designing, building and consuming domain specific RESTful services & APIs Proficiency with relational and/or NoSQL databases: PostgreSQL, MongoDB or Couchbase Demonstrated SRE or platform engineering experience - SLOs, incident management, reliability engineering at scale Experience defining and implementing observability strategies: distributed tracing, structured logging, metrics and alerting Proven experience leading technical projects and mentoring engineers Highly Desirable skills Experience with SDLC tooling, release management platforms, or CI/CD pipeline architecture Familiarity with ServiceNow integrations or ITSM workflow automation Contract-first API design, such as OpenAPI / Swagger Understanding of containerisation (Docker) and orchestration (Kubernetes) Familiarity with CI/CD tools and automated deployments: Tekton, Harness or equivalent Familiarity with automated governance, compliance-as-code, or policy-as-code approaches SRE/DevOps - experience with scalability & observability at enterprise scale Comfortable collaborating with product, design, and UI engineers, product managers, and other stakeholders to understand requirements and deliver robust platform solutions AI experience is highly desirable but not mandatory Tools you'll use (depending on role) Server: Kotlin, Java, Spring Boot, http4k, ktor, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness Infra: OpenShift, Tekton, Harness Mac or PC - It's up to you. Access to time-saving AI tools such as GitHub Copilot, Cognition.ai's Devin and Claude Code What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsVisit our Global Benefits page to learn more.Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
07/07/2026
Full time
Developer Enablement, Technical Architect - Release on Demand (SVP)Applyremote type: Hybridlocations: London United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: We're looking for an expert level Technical Architect to join one of our high-impact teams inside Citi's CTO organisation. You'll sit within Developer Enablement, a group focused on innovation, developer platforms and internal tools used across the bank, where we experiment and ship fast, like a startup inside a global bank. Our mission is to drive productivity by streamlining/automating processes & make the best tools available for our 30k engineers. At Citi's scale saving tens of minutes per day, equates to £10,000,000s of savings.We believe happy engineers make the best engineers and are a technology managed department. Opportunities in CTO There are many exciting opportunities for you in and around our SDLC and the automation journey we are on. Initially we are looking for a strong, hands on technical architect for our strategic Release automation platform (Release on Demand) but we support opportunities to extend your sphere of influence across various related up and downstream platforms which is highly encouraged. Release on Demand (RoD) is our strategic release management platform and the primary focus of this role. Built internally approximately three years ago, the platform has quickly become our strategic release generation and deployment tool used across all lines of business. Last year it generated 60k releases and automated the deployment of approximately 75% of them. We expect its user base and release volume to doubling again this year such is the enterprise's drive to automated and strategic tooling.RoD is more than a release tool - it is a codified governance engine, embedding compliance controls, SDLC guardrails, and DORA best practices directly into the delivery pipeline. It enables teams to move quickly whilst maintaining quality gates to ensure the correct SDLC and procedural requirements of the firm are upheld. As the platform's footprint grows rapidly, so does its architectural complexity - and the need for a world-class architect to ensure it scales with confidence.The platform is a cornerstone of automated governance within the SDLC and software delivery space. There are many ongoing initiatives to support further SDLC automations, and the wider team is expanding. We need a highly skilled architect to ensure the platform's solidity, availability, and continued evolution. SDLC Automation is a greenfield initiative that builds on the success we've had in automating the SDLC and takes it further. This blue-sky project looks at ways we can greatly improve the SDLC process at Citi. The use of Artificial Intelligence is planned to further automate and remove manual human-led processes that add toil to the SDLC process. Your architectural thinking will help shape both initiatives Why you'll love working here: You get to work in the engineering focused part of the bank, the Chief Technology Office, building tools for other engineers You'll work and lead small, agile team, in an organisation led by technologists and use the latest AI tooling to complete your work. You'll impact the daily experience of tens of thousands of engineers at one of the largest engineering organisations in the world. Our culture runs on engineering craftsmanship. Leadership here actually understands what that means. We're proving what's possible inside a large organisation, and that means navigating some legacy alongside building the future. If you want everything perfect on day one, this isn't the right fit. If you want to help us get there, keep reading. The team is distributed across Belfast, Canada & London. You'll work closely with engineers across time zones and partner directly with product and platform leadership. What you will do Own the Architecture. You are the technical authority for the RoD platform. That means defining, documenting, and evolving the platform's architecture - from service boundaries and data models to event topology and deployment patterns. You ensure the platform is built to last and built to scale. Drive Scalability & Reliability. Lead the engineering effort to make RoD elastically scalable and enterprise-grade reliable. Design for high availability, graceful degradation, and zero-downtime deployments. Define SLOs, own the SRE practice for the platform, and be accountable when things need fixing. Define the Observability Strategy. Establish a comprehensive observability framework - distributed tracing, structured logging, metrics, dashboards, and alerting. The platform must be fully understood at all times. You will set the standard and ensure the team can operate with confidence. Establish End-to-End Testing. Design and champion a robust E2E testing strategy across the platform. From contract testing at service boundaries to full integration and regression suites, you will ensure the team can ship with confidence and catch regressions before they reach production. Lead Event-Driven Architecture. Evolve RoD's event-driven backbone - designing resilient, decoupled event flows. Ensure the platform's asynchronous patterns are well-governed, observable, and capable of supporting the firm's growing automation ambitions. Shape the Technical Roadmap. You'll have a real voice in our architecture and technical roadmap. You'll work directly with the product owner to make sure we're building the right things, in the right order, for the right reasons - translating business and compliance requirements into sound architectural decisions and prioritising technical debt appropriately. Make the team better. Thoughtful architectural reviews. Mentoring engineers. Unblocking people when they're stuck. Sharing what you know. Your success here is tied to the team's success, not just your own output. Stay ahead of GenAI. This space moves fast. We need someone who follows it seriously, brings new ideas back to the team, and actively applies what they're learning to the products we build. If you've been experimenting with new models, new tooling, or new patterns - that's exactly the kind of thinking we want in the room. Communicate like it matters. We're distributed across three continents. Clear, direct, proactive communication isn't a soft skill here. It's how the work gets done. You'll model it. What you should have: A selection of the tools and capabilities required across our platforms. We value multi-disciplined polyglot engineers but also understand and support the need for specialisms too across the wider department. Proven track record as a hands on Technical Architect or Principal Engineer on production-grade, high-traffic platforms Deep expertise in enterprise architecture patterns - microservices, event-driven systems, distributed systems design Hands-on experience with event-driven architecture and message queuing systems, particularly Apache Kafka Strong server-side engineering skills: Kotlin Is our primary development language. Designing, building and consuming domain specific RESTful services & APIs Proficiency with relational and/or NoSQL databases: PostgreSQL, MongoDB or Couchbase Demonstrated SRE or platform engineering experience - SLOs, incident management, reliability engineering at scale Experience defining and implementing observability strategies: distributed tracing, structured logging, metrics and alerting Proven experience leading technical projects and mentoring engineers Highly Desirable skills Experience with SDLC tooling, release management platforms, or CI/CD pipeline architecture Familiarity with ServiceNow integrations or ITSM workflow automation Contract-first API design, such as OpenAPI / Swagger Understanding of containerisation (Docker) and orchestration (Kubernetes) Familiarity with CI/CD tools and automated deployments: Tekton, Harness or equivalent Familiarity with automated governance, compliance-as-code, or policy-as-code approaches SRE/DevOps - experience with scalability & observability at enterprise scale Comfortable collaborating with product, design, and UI engineers, product managers, and other stakeholders to understand requirements and deliver robust platform solutions AI experience is highly desirable but not mandatory Tools you'll use (depending on role) Server: Kotlin, Java, Spring Boot, http4k, ktor, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness Infra: OpenShift, Tekton, Harness Mac or PC - It's up to you. Access to time-saving AI tools such as GitHub Copilot, Cognition.ai's Devin and Claude Code What we'll provide you This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friendsVisit our Global Benefits page to learn more.Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
Role: Solutions Architect Location: Remote Working Arrangement: Occasional travel to national and international client sites Salary: Up to £130k SC clearance is essential. You've built solutions that solve complex technical problems. Now you're looking for the opportunity to influence something much bigger. You've probably spent years working across defence, government, or other highly secure environments, helping customers solve difficult challenges through technology. You're comfortable leading architecture discussions, working with senior stakeholders, and translating ambitious operational goals into solutions that can actually be delivered. More importantly, you're interested in where defence technology is heading next. If that's you, this could be a fantastic opportunity. I'm working with a defence technology organisation that's investing heavily in the future of defence capability through experimentation, innovation, and emerging technologies. They're looking for a Principal Solution Architect to lead some of their most exciting programmes, helping shape how the next generation of defence capability is designed, tested, demonstrated, and ultimately delivered into operational use. This is a genuinely strategic role where you'll sit at the intersection of architecture, systems engineering, customer engagement, and innovation. Rather than focusing on a single programme, you'll work across a portfolio of defence experimentation and demonstration activities, helping customers understand what's possible, designing complex technical solutions, and ensuring innovative concepts can successfully transition into operational capability. Artificial Intelligence is a major part of that journey. You'll be working with programmes exploring AI, machine learning, autonomous systems, human-machine teaming, digital engineering, cloud technologies, cyber capabilities, advanced communications, and multi-domain integration. They're looking for someone who can understand both the technology and the operational challenges, helping customers adopt emerging capabilities in ways that deliver real value rather than simply following the latest trends. This is also a highly customer-facing role. You'll build relationships with senior stakeholders across the MOD, Strategic Command, DE&S, Dstl, NATO organisations, allied nations, and industry partners, becoming a trusted technical advisor throughout the lifecycle of major defence programmes. Alongside leading technical direction, you'll help shape future opportunities, contribute to bids and business development activities, mentor Solution Architects across the organisation, and provide technical leadership that influences both customers and internal engineering teams. From a technical perspective, they're looking for experience across areas such as: Solution and systems architecture Defence capability development and experimentation Enterprise integration and systems engineering AI and emerging technologies Cloud platforms and modern digital engineering Multi-domain integration and command-and-control environments Cyber security and Secure by Design principles Architecture governance and technical leadership Experience working with MOD, NATO, multinational defence programmes, or complex government environments will be particularly valuable, especially if you've been involved in experimentation activities, operational assessments, capability demonstrations, or technology transition programmes. This role would suit someone who enjoys thinking strategically while staying close enough to technology to influence meaningful technical decisions. You'll be given the opportunity to shape architecture strategy, lead technical teams, develop customer relationships, and play a significant part in how future defence capabilities are delivered. If you're looking for a role where you can combine technical leadership, innovation, customer engagement, and architecture at the highest level, while working with some of the most exciting technologies currently shaping defence, this is definitely one worth exploring. Apply now or get in touch to find out more. We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.
06/07/2026
Full time
Role: Solutions Architect Location: Remote Working Arrangement: Occasional travel to national and international client sites Salary: Up to £130k SC clearance is essential. You've built solutions that solve complex technical problems. Now you're looking for the opportunity to influence something much bigger. You've probably spent years working across defence, government, or other highly secure environments, helping customers solve difficult challenges through technology. You're comfortable leading architecture discussions, working with senior stakeholders, and translating ambitious operational goals into solutions that can actually be delivered. More importantly, you're interested in where defence technology is heading next. If that's you, this could be a fantastic opportunity. I'm working with a defence technology organisation that's investing heavily in the future of defence capability through experimentation, innovation, and emerging technologies. They're looking for a Principal Solution Architect to lead some of their most exciting programmes, helping shape how the next generation of defence capability is designed, tested, demonstrated, and ultimately delivered into operational use. This is a genuinely strategic role where you'll sit at the intersection of architecture, systems engineering, customer engagement, and innovation. Rather than focusing on a single programme, you'll work across a portfolio of defence experimentation and demonstration activities, helping customers understand what's possible, designing complex technical solutions, and ensuring innovative concepts can successfully transition into operational capability. Artificial Intelligence is a major part of that journey. You'll be working with programmes exploring AI, machine learning, autonomous systems, human-machine teaming, digital engineering, cloud technologies, cyber capabilities, advanced communications, and multi-domain integration. They're looking for someone who can understand both the technology and the operational challenges, helping customers adopt emerging capabilities in ways that deliver real value rather than simply following the latest trends. This is also a highly customer-facing role. You'll build relationships with senior stakeholders across the MOD, Strategic Command, DE&S, Dstl, NATO organisations, allied nations, and industry partners, becoming a trusted technical advisor throughout the lifecycle of major defence programmes. Alongside leading technical direction, you'll help shape future opportunities, contribute to bids and business development activities, mentor Solution Architects across the organisation, and provide technical leadership that influences both customers and internal engineering teams. From a technical perspective, they're looking for experience across areas such as: Solution and systems architecture Defence capability development and experimentation Enterprise integration and systems engineering AI and emerging technologies Cloud platforms and modern digital engineering Multi-domain integration and command-and-control environments Cyber security and Secure by Design principles Architecture governance and technical leadership Experience working with MOD, NATO, multinational defence programmes, or complex government environments will be particularly valuable, especially if you've been involved in experimentation activities, operational assessments, capability demonstrations, or technology transition programmes. This role would suit someone who enjoys thinking strategically while staying close enough to technology to influence meaningful technical decisions. You'll be given the opportunity to shape architecture strategy, lead technical teams, develop customer relationships, and play a significant part in how future defence capabilities are delivered. If you're looking for a role where you can combine technical leadership, innovation, customer engagement, and architecture at the highest level, while working with some of the most exciting technologies currently shaping defence, this is definitely one worth exploring. Apply now or get in touch to find out more. We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.
About the Role We're seeking a versatile Principal Data scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry leading platform by architecting and deploying cutting edge AI solutions that drive intelligent, automated, and forward looking decision making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges. Generative AI Architecture: Architect GenAI solutions, focusing on fine tuning proprietary and open source Large Language Models (LLMs) via Transformer architectures for specialised enterprise data tasks. Next Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks. Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems. Technical Leadership: Serve as a core subject matter expert, mentoring cross functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning. Your Skills Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains. Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks. Experience fine tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain specific enterprise applications. Taken responsibility of models from concept to production, utilising strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments. High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines. Strong hands on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms. Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applications. Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open source ML projects or research publications. Our Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB) We believe at Anaplan that diversity, equity, inclusion and belonging are central to our success. All applicants are considered equally; we welcome individuals of all genders, sexual orientations, religions, ethnicities, ages, neurodiversity, disabilities, citizenship, and other identities. We will provide reasonable accommodation to individuals with disabilities to participate in the application process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
03/07/2026
Full time
About the Role We're seeking a versatile Principal Data scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry leading platform by architecting and deploying cutting edge AI solutions that drive intelligent, automated, and forward looking decision making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges. Generative AI Architecture: Architect GenAI solutions, focusing on fine tuning proprietary and open source Large Language Models (LLMs) via Transformer architectures for specialised enterprise data tasks. Next Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks. Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems. Technical Leadership: Serve as a core subject matter expert, mentoring cross functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning. Your Skills Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains. Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks. Experience fine tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain specific enterprise applications. Taken responsibility of models from concept to production, utilising strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments. High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines. Strong hands on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms. Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applications. Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open source ML projects or research publications. Our Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB) We believe at Anaplan that diversity, equity, inclusion and belonging are central to our success. All applicants are considered equally; we welcome individuals of all genders, sexual orientations, religions, ethnicities, ages, neurodiversity, disabilities, citizenship, and other identities. We will provide reasonable accommodation to individuals with disabilities to participate in the application process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
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! Role Summary We're seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering, RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations Optimise model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. End-to-end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine-tuning LLMs for domain-specific enterprise applications. Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Experience with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Proven track record of delivering complex technical projects on time with high quality Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field Hands-on experience with cloud-native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Experience with A/B testing and experimentation frameworks for AI features Contributions to open-source ML projects or research publications Experience with model observability tools (LangSmith, W&B;, MLflow) DEIB Our Commitment to Diversity, Equity, Inclusionand 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.
02/07/2026
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! Role Summary We're seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering, RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations Optimise model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. End-to-end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine-tuning LLMs for domain-specific enterprise applications. Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Experience with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Proven track record of delivering complex technical projects on time with high quality Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field Hands-on experience with cloud-native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Experience with A/B testing and experimentation frameworks for AI features Contributions to open-source ML projects or research publications Experience with model observability tools (LangSmith, W&B;, MLflow) DEIB Our Commitment to Diversity, Equity, Inclusionand 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.
