Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Experience in financial services, especially investment banking operations. Experience fine tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. Equal Opportunity Employment We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
27/07/2026
Full time
Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents to enhance operations. Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks. Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation. Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem solving skills and ability to work independently and collaboratively. Effective communication skills for technical and non technical audiences. Preferred Qualifications, Capabilities, and Skills Experience in financial services, especially investment banking operations. Experience fine tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation. Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites. Experience with distributed computing, data sharding, and performance optimization. Hands on experience with AWS services related to AI deployment and workflow orchestration. Why Join Us We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. Equal Opportunity Employment We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
27/07/2026
Full time
Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
Senior Technical Lead - UK We are looking for an experienced Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM). Define and own technical standards, code quality practices, and architectural patterns across project teams. Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints. Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools. Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions. Provide high level and detailed technical solution estimates. Review and consult with stakeholders on SOWs. Review briefs, add questions, and refine technical requirements. Deliver all technical documentation required during discovery. Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates. Identify and flag technical risks early, including gaps in client provided inputs that may impact delivery timelines. Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases. Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication. Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning. Collaborate with cross functional teams-UX, strategy, data, and QA-to ensure technical decisions support broader project goals. Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise. Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team. Road map and Project Planning Lead and define technology approach and tool set. Facilitate environment setup and configuration efforts in coordination with other disciplines. Brainstorm and present ideas and possible solutions, driving innovation. Develop Sitecore AI roadmap. Facilitate communication with Delivery Lead and Program Manager. Deliver all technical documentation required during planning. Identify risks and important milestones. Involve with Delivery Lead, Dev Director, and Client Partner on strategic account and delivery direction. Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM. 3-5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations. Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products. Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS). Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery. AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow. Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage. Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation. Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus. Core Technical Skills .NET / C# - solid backend development fundamentals. JavaScript / TypeScript, React or Next.js for headless front end delivery. RESTful and GraphQL API design and integration. CI/CD pipeline setup and management (Azure DevOps, GitHub Actions). Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices. Agile / Scrum delivery experience in cross functional teams. Add Ons You are Sitecore MVP and actively participate in the Sitecore community. You enjoy being in front of the client and have professional services experience. You are skilled at refining and implementing Sitecore solutions. Experience contributing to or reviewing AI influenced project estimates and delivery models. Our UK Benefits include 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working
27/07/2026
Full time
Senior Technical Lead - UK We are looking for an experienced Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM). Define and own technical standards, code quality practices, and architectural patterns across project teams. Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints. Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools. Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions. Provide high level and detailed technical solution estimates. Review and consult with stakeholders on SOWs. Review briefs, add questions, and refine technical requirements. Deliver all technical documentation required during discovery. Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates. Identify and flag technical risks early, including gaps in client provided inputs that may impact delivery timelines. Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases. Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication. Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning. Collaborate with cross functional teams-UX, strategy, data, and QA-to ensure technical decisions support broader project goals. Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise. Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team. Road map and Project Planning Lead and define technology approach and tool set. Facilitate environment setup and configuration efforts in coordination with other disciplines. Brainstorm and present ideas and possible solutions, driving innovation. Develop Sitecore AI roadmap. Facilitate communication with Delivery Lead and Program Manager. Deliver all technical documentation required during planning. Identify risks and important milestones. Involve with Delivery Lead, Dev Director, and Client Partner on strategic account and delivery direction. Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM. 3-5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations. Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products. Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS). Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery. AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow. Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage. Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation. Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus. Core Technical Skills .NET / C# - solid backend development fundamentals. JavaScript / TypeScript, React or Next.js for headless front end delivery. RESTful and GraphQL API design and integration. CI/CD pipeline setup and management (Azure DevOps, GitHub Actions). Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices. Agile / Scrum delivery experience in cross functional teams. Add Ons You are Sitecore MVP and actively participate in the Sitecore community. You enjoy being in front of the client and have professional services experience. You are skilled at refining and implementing Sitecore solutions. Experience contributing to or reviewing AI influenced project estimates and delivery models. Our UK Benefits include 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working
Senior Technical Lead - UK At Horizontal Digital, we hold ourselves to one key belief: you're only as good as your worst customer experience. This mantra is what drives our digital consultancy to think beyond the easy answers and instead create websites, apps, portals and other experiences that solve customer needs for Fortune 500 companies in intuitive and empathetic ways. We make this lofty standard a reality by fusing strategy, data, design and technology together to arrive at solutions that set the bar higher for everyone. We are looking for an experienced German speaking Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. You will serve as the bridge between client requirements, solution design, and hands on engineering-ensuring we deliver outcomes that are scalable, performant, and commercially sound. What you'll do: Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM) Define and own technical standards, code quality practices, and architectural patterns across project teams Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions Provide high level and detailed technical solution estimates Review and consult with HZTL stakeholders on SOWs Review Briefs and add questions, technicalrequirements . Refine technical requirements Responsible for delivery of all technical documentation that is required during discovery Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates Identify and flag technical risks early - including gaps in client provided inputs that may impact delivery timelines Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning Collaborate with cross functional teams - UX, strategy, data, and QA - to ensure technical decisions support broader project goals Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team Road map and Project Planning Accountable for technical solution planning Lead and define technology approach and tool set Facilitate environment setup and configuration efforts in coordination with other disciplines Brain storming and presentation of ideas and possible solutions - Innovations Sitecore AI roadmap Facilitate communication with Delivery Lead and Program Manager Responsible for delivery of all technical documentation that is required during planning Identifying risks and/or important milestones Involvement with Delivery Lead, Dev Director and Client Partner on Strategic Account & Delivery Direction Who you are and what you bring: Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM 3 5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS) Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus Core Technical Skills .NET / C# - solid backend development fundamentals JavaScript / TypeScript, React or Next.js for headless front end delivery RESTful and GraphQL API design and integration CI/CD pipeline setup and management (Azure DevOps, GitHub Actions) Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices Agile / Scrum delivery experience in cross functional teams Add ons You are Sitecore MVP and active participation in Sitecore community You enjoy being in front of the client and have professional services experience You are skilled at refining and implementing Sitecore solutions Experience contributing to or reviewing AI influenced project estimates and delivery models Our UK Benefits include: 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working The above description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
27/07/2026
Full time
Senior Technical Lead - UK At Horizontal Digital, we hold ourselves to one key belief: you're only as good as your worst customer experience. This mantra is what drives our digital consultancy to think beyond the easy answers and instead create websites, apps, portals and other experiences that solve customer needs for Fortune 500 companies in intuitive and empathetic ways. We make this lofty standard a reality by fusing strategy, data, design and technology together to arrive at solutions that set the bar higher for everyone. We are looking for an experienced German speaking Senior Tech Lead with deep expertise in Sitecore and a forward thinking approach to AI enabled delivery. In this role, you will architect and lead the technical delivery of enterprise scale digital experience platforms, embed AI tooling across the development lifecycle, and mentor a team of engineers to do their best work. You will serve as the bridge between client requirements, solution design, and hands on engineering-ensuring we deliver outcomes that are scalable, performant, and commercially sound. What you'll do: Technical Leadership & Architecture Lead end to end technical architecture and delivery of Sitecore based digital experience platforms (XM Cloud, Sitecore AI, XP, XM) Define and own technical standards, code quality practices, and architectural patterns across project teams Conduct solution design workshops and translate business requirements into scalable, maintainable technical blueprints Oversee integrations with third party platforms including CRMs, CDPs, DAMs, search engines, and marketing automation tools Perform and guide technical code reviews, ensuring adherence to best practices and Sitecore conventions Provide high level and detailed technical solution estimates Review and consult with HZTL stakeholders on SOWs Review Briefs and add questions, technicalrequirements . Refine technical requirements Responsible for delivery of all technical documentation that is required during discovery Project Delivery & Estimation Contribute to pre sales and estimation activities, providing technically accurate and commercially grounded effort estimates Identify and flag technical risks early - including gaps in client provided inputs that may impact delivery timelines Partner with Project Managers and Solution Architects to ensure estimates remain aligned through proposal, SOW, and discovery phases Drive re estimation processes when scope or assumptions materially change, with clear stakeholder communication Team & Stakeholder Management Lead, mentor, and grow a team of Sitecore developers, fostering a culture of technical excellence and continuous learning Collaborate with cross functional teams - UX, strategy, data, and QA - to ensure technical decisions support broader project goals Act as the primary technical point of contact for clients, presenting solutions clearly and building trust through expertise Facilitate knowledge transfer and ensure delivery decisions are well documented and accessible to the wider team Road map and Project Planning Accountable for technical solution planning Lead and define technology approach and tool set Facilitate environment setup and configuration efforts in coordination with other disciplines Brain storming and presentation of ideas and possible solutions - Innovations Sitecore AI roadmap Facilitate communication with Delivery Lead and Program Manager Responsible for delivery of all technical documentation that is required during planning Identifying risks and/or important milestones Involvement with Delivery Lead, Dev Director and Client Partner on Strategic Account & Delivery Direction Who you are and what you bring: Sitecore Expertise 10+ years of hands on Sitecore development experience across Sitecore AI, XM Cloud, XP, and/or XM 3 5 years of experience leading design and implementation of digital technology solutions using Agile/Scrum methodologies. Strong proficiency in Sitecore development patterns: JSS, headless/SXA, serialization (Unicorn / SCS), and multisite configurations Experience with Sitecore CDP, Personalize, Search, Content Hub, Send, or other Sitecore composable DXP products Solid understanding of Sitecore licensing, deployment architecture, and cloud hosting (Azure / AWS) Familiarity with Vercel, Netlify, Next.js, and React in the context of Sitecore headless delivery AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, or similar) into a professional development workflow Understanding of LLM capabilities and limitations as applied to code generation, documentation, and test coverage Ability to design structured, AI readable inputs (design tokens, content schemas, component specs) that enable automation Experience with prompt engineering or building lightweight AI agents or automation pipelines is a strong plus Core Technical Skills .NET / C# - solid backend development fundamentals JavaScript / TypeScript, React or Next.js for headless front end delivery RESTful and GraphQL API design and integration CI/CD pipeline setup and management (Azure DevOps, GitHub Actions) Performance optimisation, accessibility standards (WCAG 2.1), and SEO best practices Agile / Scrum delivery experience in cross functional teams Add ons You are Sitecore MVP and active participation in Sitecore community You enjoy being in front of the client and have professional services experience You are skilled at refining and implementing Sitecore solutions Experience contributing to or reviewing AI influenced project estimates and delivery models Our UK Benefits include: 22 days holiday 2 floating holiday days 2 volunteering days Defined contribution pension scheme Flexibility + remote working The above description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Role purpose Avanade UK Security is scaling fast, requiring a Director level Identity & Access Management (IAM) Lead to build a Microsoft first IAM growth engine across advisory, implementation, and managed services, with a strong bias toward repeatable offers, accelerated conversion, and delivery excellence. This role is also accountable for positioning Identity as the control plane for AI era security, including Microsoft Agent365, Copilot driven workflows, and emerging agent based architectures, ensuring UK Security is future proofed for the next generation of identity centric security demand. This role reports to the UK Security Practice Lead and leads presales/solutioning with a technical Solution Architect and Presales Lead. Furthermore, this role owns IAM GTM, delivery quality, capability/IP build while feeding into the Identity MSS module as part of the broader MSS portfolio (separate accountability, tight interlock). Travel expected for key clients, Microsoft, and Practice leadership commitments. Commercial expectations This role influences revenue and will carry a soft target aligned to the UK Security all up plan: Year1: $1-2m influenced growth. Year2: $2-3m influenced growth. Success is measured through supporting the sales team to generate pipeline, conversion of pipeline, expansion/attach of existing accounts, and repeatable delivery. Reporting line & operating model Reports to: UK Security Practice Lead Key peers: UK MSS Lead, UK Security Presales Lead, UK Security Solution Architects (x2 from other practices - Infrastructure, Software Engineering, Modern Workplace, Data & AI, Business Applications) People leadership: No formal line management initially; expected to act as Career Advisor/People Lead for a small number of individuals (mentorship, development, high performance standards). Matrix influence: Identity Solution Architect soft reports into the IAM Lead for practice level IAM direction, consistency, and capability build while security leadership team members continue to report to the Practice Lead. Success criteria First 6 months - A clear IAM "spine" for the practice: what we sell, how we sell it, how we deliver it, and what becomes service delivered across UK onshore, nearshore delivery centres, and offshore delivery centres. A repeatable presales motion for Entra led IAM (workshops/assessments/pilots scaled rollouts) that improves speed and win rate. Delivery governance and QA standards that reduce programme variability and escalations. 12 months - A scaled, Microsoft first IAM pipeline with a predictable conversion pattern. Demonstrable asset reuse (templates, reference architectures, automation patterns, delivery playbooks). A clear project to service pathway into Identity MSS (handover criteria, onboarding artefacts, operational KPIs etc.). 24 months - UK recognised as a credible IAM leader in regulated industries, with external presence (clients/Microsoft/events) supporting sustained growth. Key responsibilities IAM GTM & seller enablement (primary) - Own the UK IAM narrative and differentiation: Microsoft Entra first (Entra ID, Entra Suite/E7 positioning, Identity Protection, governance and lifecycle foundations etc.). Own the UK Security narrative and capability for identity centric AI security, including Microsoft Agent365, Copilot, and agent based workloads, where identity, permissions, and trust boundaries are the primary control mechanisms. Define how agent identities, agent permissions, human to agent and agent to agent trust, and data access are governed, monitored, and secured using Microsoft Entra and the broader Microsoft Security stack. Ensure IAM offerings explicitly address AI driven risk scenarios, including delegated agent access, over privileged identities, lateral agent movement, and non human identity sprawl. Position Identity as the foundational security layer for AI adoption, pulling through Entra, E7, Purview, Defender, and AI Security conversations as a single, coherent value proposition. Build IAM led GTM plays where AI security, Copilot adoption, and Agent365 are anchored in identity governance, access control, and trust, positioning IAM as the entry point rather than an implementation afterthought. Build practical seller enablement: talk tracks, qualification prompts, value proof, commercial guardrails, "what good looks like" etc. Create repeatable plays by industry and account segment where identity is the control plane for transformation and AI adoption. Presales leadership & solutioning - Lead solutioning for complex IAM pursuits with UK IAM Solution Architect: scope, approach, commercials, delivery model, risks, and dependencies. Drive fast, outcome led client entry motions (e.g., Entra security & resilience assessment, identity modernisation, governance quick starts etc.). Work with Microsoft where relevant to accelerate co sell and secure sponsorship (without diluting Microsoft first stance). Delivery quality, escalation & governance (shared accountability) - Own IAM delivery quality and programme health: QA gates, architecture assurance, delivery risk management, and escalation resolution (shared with delivery leads). Ensure delivery standards produce repeatable outcomes and strong client confidence (not bespoke reinvention). Embed modern identity security realities into delivery (identity threat, resilience, response readiness) beyond "implementation complete" to expand Microsoft security footprint. Capability, assets & IP - Build reusable assets across assessment/diagnostics, reference architectures and design patterns, migration patterns (hybrid/legacy modernisation), automation (PowerShell, Graph/API patterns), runbooks and onboarding templates. Establish a clear lifecycle across project asset offer service to compound capability and drive recurring revenue. Identity MSS interlock - Define the "handshake" from projects into Identity MSS: what must be true at handover, onboarding artefacts, operational KPIs/reporting, continuous improvement backlog and ownership boundaries. Partner closely with the MSS Lead to ensure Identity MSS is scalable and commercially viable, without blurring accountability. Partner leverage - Build and support the Partner Ecosystem team to manage relevant partner alliances when needed (e.g., migration from non Microsoft IDPs; selective IGA integration etc.) always anchored to a Microsoft first end state. Culture, leadership & people development (mentorship) - Act as a high trust, high autonomy, high standards leader who raises quality, pace, and ambition. Provide mentorship and capability development through Career Advisor responsibilities and informal leadership especially for Solution Architects and emerging IAM talent. Essential Experience Proven track record building and scaling IAM capability in a consulting environment: sell + solution + deliver + industrialise. Deep Microsoft Entra leadership across Entra ID security and configuration, Conditional Access, authentication strength, Identity Protection, Identity governance and lifecycle foundations (JML and provisioning patterns), X to Entra migrations, driving Microsoft first identity journeys. Demonstrated ability to translate emerging Microsoft platform shifts (e.g. Agent365, Copilot, AI enabled security) into credible client narratives, offers, and delivery patterns, with Identity positioned as the primary security control. Strong understanding of workforce IAM and hybrid/legacy identity modernisation (AD and modern identity patterns). Senior stakeholder presence: able to operate credibly with CISOs/CIOs and internally influence sellers and architects. Desirable experience: Security operations awareness: monitoring/logging patterns, identity investigations, and integration with broader security services; Customer Identity and Access Management (CIAM)/B2C experience. Non negotiable behaviours: Microsoft first mindset as an exclusive stance; "start up mentality" - hungry, creative, ambitious, pace driven, ownership led; able to form and articulate a clear point of view on how identity, AI agents, and automation change the security model; Builds through others: sets direction, creates clarity, removes blockers, demands quality without creating dependency; Comfortable operating in a high ambition peer group with shared standards and high autonomy. Measures of success Influenced revenue against soft target (pipeline creation and conversion). Win rate and cycle time improvement for IAM pursuits. Delivery health: reduced escalations, stronger QA, predictable outcomes. Reuse rate and adoption of IAM assets/standard approaches. Successful, measurable conversion path from IAM projects into Identity MSS.
27/07/2026
Full time
Role purpose Avanade UK Security is scaling fast, requiring a Director level Identity & Access Management (IAM) Lead to build a Microsoft first IAM growth engine across advisory, implementation, and managed services, with a strong bias toward repeatable offers, accelerated conversion, and delivery excellence. This role is also accountable for positioning Identity as the control plane for AI era security, including Microsoft Agent365, Copilot driven workflows, and emerging agent based architectures, ensuring UK Security is future proofed for the next generation of identity centric security demand. This role reports to the UK Security Practice Lead and leads presales/solutioning with a technical Solution Architect and Presales Lead. Furthermore, this role owns IAM GTM, delivery quality, capability/IP build while feeding into the Identity MSS module as part of the broader MSS portfolio (separate accountability, tight interlock). Travel expected for key clients, Microsoft, and Practice leadership commitments. Commercial expectations This role influences revenue and will carry a soft target aligned to the UK Security all up plan: Year1: $1-2m influenced growth. Year2: $2-3m influenced growth. Success is measured through supporting the sales team to generate pipeline, conversion of pipeline, expansion/attach of existing accounts, and repeatable delivery. Reporting line & operating model Reports to: UK Security Practice Lead Key peers: UK MSS Lead, UK Security Presales Lead, UK Security Solution Architects (x2 from other practices - Infrastructure, Software Engineering, Modern Workplace, Data & AI, Business Applications) People leadership: No formal line management initially; expected to act as Career Advisor/People Lead for a small number of individuals (mentorship, development, high performance standards). Matrix influence: Identity Solution Architect soft reports into the IAM Lead for practice level IAM direction, consistency, and capability build while security leadership team members continue to report to the Practice Lead. Success criteria First 6 months - A clear IAM "spine" for the practice: what we sell, how we sell it, how we deliver it, and what becomes service delivered across UK onshore, nearshore delivery centres, and offshore delivery centres. A repeatable presales motion for Entra led IAM (workshops/assessments/pilots scaled rollouts) that improves speed and win rate. Delivery governance and QA standards that reduce programme variability and escalations. 12 months - A scaled, Microsoft first IAM pipeline with a predictable conversion pattern. Demonstrable asset reuse (templates, reference architectures, automation patterns, delivery playbooks). A clear project to service pathway into Identity MSS (handover criteria, onboarding artefacts, operational KPIs etc.). 24 months - UK recognised as a credible IAM leader in regulated industries, with external presence (clients/Microsoft/events) supporting sustained growth. Key responsibilities IAM GTM & seller enablement (primary) - Own the UK IAM narrative and differentiation: Microsoft Entra first (Entra ID, Entra Suite/E7 positioning, Identity Protection, governance and lifecycle foundations etc.). Own the UK Security narrative and capability for identity centric AI security, including Microsoft Agent365, Copilot, and agent based workloads, where identity, permissions, and trust boundaries are the primary control mechanisms. Define how agent identities, agent permissions, human to agent and agent to agent trust, and data access are governed, monitored, and secured using Microsoft Entra and the broader Microsoft Security stack. Ensure IAM offerings explicitly address AI driven risk scenarios, including delegated agent access, over privileged identities, lateral agent movement, and non human identity sprawl. Position Identity as the foundational security layer for AI adoption, pulling through Entra, E7, Purview, Defender, and AI Security conversations as a single, coherent value proposition. Build IAM led GTM plays where AI security, Copilot adoption, and Agent365 are anchored in identity governance, access control, and trust, positioning IAM as the entry point rather than an implementation afterthought. Build practical seller enablement: talk tracks, qualification prompts, value proof, commercial guardrails, "what good looks like" etc. Create repeatable plays by industry and account segment where identity is the control plane for transformation and AI adoption. Presales leadership & solutioning - Lead solutioning for complex IAM pursuits with UK IAM Solution Architect: scope, approach, commercials, delivery model, risks, and dependencies. Drive fast, outcome led client entry motions (e.g., Entra security & resilience assessment, identity modernisation, governance quick starts etc.). Work with Microsoft where relevant to accelerate co sell and secure sponsorship (without diluting Microsoft first stance). Delivery quality, escalation & governance (shared accountability) - Own IAM delivery quality and programme health: QA gates, architecture assurance, delivery risk management, and escalation resolution (shared with delivery leads). Ensure delivery standards produce repeatable outcomes and strong client confidence (not bespoke reinvention). Embed modern identity security realities into delivery (identity threat, resilience, response readiness) beyond "implementation complete" to expand Microsoft security footprint. Capability, assets & IP - Build reusable assets across assessment/diagnostics, reference architectures and design patterns, migration patterns (hybrid/legacy modernisation), automation (PowerShell, Graph/API patterns), runbooks and onboarding templates. Establish a clear lifecycle across project asset offer service to compound capability and drive recurring revenue. Identity MSS interlock - Define the "handshake" from projects into Identity MSS: what must be true at handover, onboarding artefacts, operational KPIs/reporting, continuous improvement backlog and ownership boundaries. Partner closely with the MSS Lead to ensure Identity MSS is scalable and commercially viable, without blurring accountability. Partner leverage - Build and support the Partner Ecosystem team to manage relevant partner alliances when needed (e.g., migration from non Microsoft IDPs; selective IGA integration etc.) always anchored to a Microsoft first end state. Culture, leadership & people development (mentorship) - Act as a high trust, high autonomy, high standards leader who raises quality, pace, and ambition. Provide mentorship and capability development through Career Advisor responsibilities and informal leadership especially for Solution Architects and emerging IAM talent. Essential Experience Proven track record building and scaling IAM capability in a consulting environment: sell + solution + deliver + industrialise. Deep Microsoft Entra leadership across Entra ID security and configuration, Conditional Access, authentication strength, Identity Protection, Identity governance and lifecycle foundations (JML and provisioning patterns), X to Entra migrations, driving Microsoft first identity journeys. Demonstrated ability to translate emerging Microsoft platform shifts (e.g. Agent365, Copilot, AI enabled security) into credible client narratives, offers, and delivery patterns, with Identity positioned as the primary security control. Strong understanding of workforce IAM and hybrid/legacy identity modernisation (AD and modern identity patterns). Senior stakeholder presence: able to operate credibly with CISOs/CIOs and internally influence sellers and architects. Desirable experience: Security operations awareness: monitoring/logging patterns, identity investigations, and integration with broader security services; Customer Identity and Access Management (CIAM)/B2C experience. Non negotiable behaviours: Microsoft first mindset as an exclusive stance; "start up mentality" - hungry, creative, ambitious, pace driven, ownership led; able to form and articulate a clear point of view on how identity, AI agents, and automation change the security model; Builds through others: sets direction, creates clarity, removes blockers, demands quality without creating dependency; Comfortable operating in a high ambition peer group with shared standards and high autonomy. Measures of success Influenced revenue against soft target (pipeline creation and conversion). Win rate and cycle time improvement for IAM pursuits. Delivery health: reduced escalations, stronger QA, predictable outcomes. Reuse rate and adoption of IAM assets/standard approaches. Successful, measurable conversion path from IAM projects into Identity MSS.
Introduction Join Avanade's Global Integrated Center of Excellence (ICOE) as a hands on AI Application Architect, helping design intelligent, agentic, cloud native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate - driving transformation across complex enterprise landscapes. Role Overview As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solutioning phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end to end. What you'll do Architect AI powered applications using autonomous and semi autonomous agentic frameworks. Apply AI agents across all delivery phases: analysis, design, build, test, deploy, and operations. Modernise legacy applications using agentic AI for discovery, transformation, and refactoring. Define end to end architectures integrating traditional software, LLMs, vector stores, and orchestration. Drive AI adoption within Avanade Regions, enabling AI driven solution roadmaps. Contribute to solution planning and design across multi disciplinary and multi cloud environments. Develop accelerators, reference architectures, and reusable assets for agentic AI patterns. Guide engineering, data, and DevOps teams on AI automation and pipeline integration. Travel occasionally for high value client engagements. Skills and Experience 12+ years of experience designing and developing enterprise scale applications. Strong foundation in software engineering including frontend, backend, APIs, data, and cloud architecture. Expertise in Java or C# as a primary language; hands on experience with Python, Rust, and TypeScript/JavaScript. Proven delivery experience applying agentic AI to modernise legacy systems or build new solutions. Hands on expertise with agentic AI frameworks such as AutoGen, Semantic Kernel, LangChain, or equivalents. Ability to apply AI agents across all phases of delivery: requirements, architecture, coding, testing, documentation, and deployment. Experience with LLMs, prompt engineering, RAG, vector databases, and orchestration patterns. Strong Azure expertise preferred, with hands on exposure to AWS and GCP. Experience integrating AI into distributed systems, microservices, APIs, and event driven architectures. DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation. Familiarity with data engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications are a plus. About You Passionate about AI with hands on experience applying agentic patterns in real delivery work. Comfortable working at the intersection of software engineering, AI, cloud, and automation. Clear communicator across technical and non technical stakeholders. Enjoy mentoring teams and raising overall AI engineering maturity. Continuously explore emerging AI frameworks, tools, and architectural approaches. Your Career Opportunity You will have access to global technical communities, a dedicated career advisor, and supportive colleagues who care about your success. You can benefit from minimum 80 hours of training per year and paid certifications.
27/07/2026
Full time
Introduction Join Avanade's Global Integrated Center of Excellence (ICOE) as a hands on AI Application Architect, helping design intelligent, agentic, cloud native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate - driving transformation across complex enterprise landscapes. Role Overview As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solutioning phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end to end. What you'll do Architect AI powered applications using autonomous and semi autonomous agentic frameworks. Apply AI agents across all delivery phases: analysis, design, build, test, deploy, and operations. Modernise legacy applications using agentic AI for discovery, transformation, and refactoring. Define end to end architectures integrating traditional software, LLMs, vector stores, and orchestration. Drive AI adoption within Avanade Regions, enabling AI driven solution roadmaps. Contribute to solution planning and design across multi disciplinary and multi cloud environments. Develop accelerators, reference architectures, and reusable assets for agentic AI patterns. Guide engineering, data, and DevOps teams on AI automation and pipeline integration. Travel occasionally for high value client engagements. Skills and Experience 12+ years of experience designing and developing enterprise scale applications. Strong foundation in software engineering including frontend, backend, APIs, data, and cloud architecture. Expertise in Java or C# as a primary language; hands on experience with Python, Rust, and TypeScript/JavaScript. Proven delivery experience applying agentic AI to modernise legacy systems or build new solutions. Hands on expertise with agentic AI frameworks such as AutoGen, Semantic Kernel, LangChain, or equivalents. Ability to apply AI agents across all phases of delivery: requirements, architecture, coding, testing, documentation, and deployment. Experience with LLMs, prompt engineering, RAG, vector databases, and orchestration patterns. Strong Azure expertise preferred, with hands on exposure to AWS and GCP. Experience integrating AI into distributed systems, microservices, APIs, and event driven architectures. DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation. Familiarity with data engineering, ML models, Responsible AI, and enterprise governance. Ability to communicate complex AI concepts to both technical and executive audiences. Cloud, AI engineering, or architecture certifications are a plus. About You Passionate about AI with hands on experience applying agentic patterns in real delivery work. Comfortable working at the intersection of software engineering, AI, cloud, and automation. Clear communicator across technical and non technical stakeholders. Enjoy mentoring teams and raising overall AI engineering maturity. Continuously explore emerging AI frameworks, tools, and architectural approaches. Your Career Opportunity You will have access to global technical communities, a dedicated career advisor, and supportive colleagues who care about your success. You can benefit from minimum 80 hours of training per year and paid certifications.
About Us the company is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We're not just making better software. We're making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for the company, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains. Role Full-stack developers with a strong front-end focus, responsible for building the Superhighway control plane and the golden-path tooling engineers use to ship. This is an AI-enabled role: you'll work agentic-first, using an agentic harness (Claude or similar) to drive implementation, not as an occasional assist. You're as comfortable orchestrating agents to generate, validate, and test code as you are writing it yourself. The role pairs modern front-end development (React) with working knowledge of Python services and APIs. Key Responsibilities Develop and maintain front-end components using React for the control plane and audit/compliance/cost views Build responsive, scalable, high-quality UI features for self-service data exploration and platform interaction Drive implementation through an agentic harness: prompt, steer, and validate agent-generated code rather than hand-cranking it Contribute to backend development (Python/FastAPI) where required Build templated archetypes and golden-path kits that accelerate onboarding and development for other teams Collaborate with UX/UI to ensure accurate implementation of designs Ensure performance, security, and maintainability, with a testing-first mindset Required Experience Strong experience with React and modern JavaScript/TypeScript 6+ months hands-on with agentic editors (Claude, etc.) and a clear understanding of agent risks and mitigation Experience building web applications with API integrations Working knowledge of Python (FastAPI a plus) for backend/API development Familiarity with REST APIs and microservices architecture Strong focus on acceptance testing and architecture testing (unit tests enforcing standards: line limits, design patterns, imports) Experience with version control and CI/CD practices Proactive communicator who unblocks themselves and collaborates across a matrix organisation (no quiet handle-crankers) Desirable Experience Experience integrating AI/ML services (LLM APIs, embeddings, agent frameworks) AWS native development and deployment experience Policy-as-code expertise Snowflake or data-product experience (producing and consuming) Data visualisation libraries (charts, dashboards) Authentication and RBAC implementation Experience building developer platforms, golden paths, or internal tooling At the company, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at
27/07/2026
Full time
About Us the company is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We're not just making better software. We're making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for the company, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains. Role Full-stack developers with a strong front-end focus, responsible for building the Superhighway control plane and the golden-path tooling engineers use to ship. This is an AI-enabled role: you'll work agentic-first, using an agentic harness (Claude or similar) to drive implementation, not as an occasional assist. You're as comfortable orchestrating agents to generate, validate, and test code as you are writing it yourself. The role pairs modern front-end development (React) with working knowledge of Python services and APIs. Key Responsibilities Develop and maintain front-end components using React for the control plane and audit/compliance/cost views Build responsive, scalable, high-quality UI features for self-service data exploration and platform interaction Drive implementation through an agentic harness: prompt, steer, and validate agent-generated code rather than hand-cranking it Contribute to backend development (Python/FastAPI) where required Build templated archetypes and golden-path kits that accelerate onboarding and development for other teams Collaborate with UX/UI to ensure accurate implementation of designs Ensure performance, security, and maintainability, with a testing-first mindset Required Experience Strong experience with React and modern JavaScript/TypeScript 6+ months hands-on with agentic editors (Claude, etc.) and a clear understanding of agent risks and mitigation Experience building web applications with API integrations Working knowledge of Python (FastAPI a plus) for backend/API development Familiarity with REST APIs and microservices architecture Strong focus on acceptance testing and architecture testing (unit tests enforcing standards: line limits, design patterns, imports) Experience with version control and CI/CD practices Proactive communicator who unblocks themselves and collaborates across a matrix organisation (no quiet handle-crankers) Desirable Experience Experience integrating AI/ML services (LLM APIs, embeddings, agent frameworks) AWS native development and deployment experience Policy-as-code expertise Snowflake or data-product experience (producing and consuming) Data visualisation libraries (charts, dashboards) Authentication and RBAC implementation Experience building developer platforms, golden paths, or internal tooling At the company, we believe diverse perspectives lead to better outcomes, and inclusion creates the conditions for everyone to thrive. We are proud to have built a family friendly working environment and have many employees who have caring responsibilities alongside work. We welcome applications from people who require flexibility and will be happy to discuss needs on an individual basis. We are committed to fostering a culture where all team members feel respected, supported, and empowered to do their best work. We celebrate individuality and our differences and understand that some differences may mean that you require changes made to the interview process. We are happy to cater to your needs to make the interview accessible, if this is something you require please let us know by emailing us at
United States Digital Space LLC
Duxford, Cambridgeshire
With our strong investment in research and development and our culture of continuous improvement, the company is the industry leader in the manufacturing of advance composite materials, including carbon fiber, woven reinforcements, resins, prepregs, honeycombs and additive manufactured parts. We invite you to join the the company team at various manufacturing sites, sales offices and R&D centers around the globe. Become a part of the "strength within." the company is currently seeking a Developer (Full Stack, Cloud, AI & Platform Delivery) for our Duxford, UK location. Role Purpose We are seeking a highly hands-on Developer to design, build, and deliver modern enterprise applications across the full software lifecycle. This is an end-to-end ownership role, responsible not only for development but also for build, deployment, release, and production support. You will work across the full stack while embedding AI-driven capabilities, including prompt-engineered and data-grounded (RAG-based) solutions, into business applications. Over time, you will contribute to platform design, architectural direction, and engineering standards, with a clear path toward technical leadership. The selected individual will be responsible for but not limited to the following obligations: End-to-End Engineering & Delivery (Core Focus) Release Management & Production Support Cloud, DevOps & Infrastructure Containerization & Modern Platform Engineering AI & Intelligent Solutions Architecture & Technical Growth Collaboration & Delivery Qualifications Strong hands-on experience with: C# / .NET React Bicep (Infrastructure as Code) CI/CD pipelines (Azure DevOps / GitHub Actions) GitHub workflows Containerisation (Docker) Prompt engineering for LLM-based solutions (structured prompting, chaining, and output validation) Experience building or integrating Retrieval-Augmented Generation (RAG) pipelines (e.g. embeddings, vector search, data grounding) Proven experience delivering end-to-end solutions into production Experience building APIs and microservices Strong experience with Microsoft Azure DevOps, Cloud & Platform Engineering AI & Modern Development Excellent problem-solving and analytical thinking Proactive, self-driven learner Candidates must be eligible to work in the country where the position is based. the company (NYSE: HXL) is a global leader in advanced composites technology, a leading producer of carbon fiber, and the world leader in honeycomb manufacturing for the commercial aerospace industry.
27/07/2026
Full time
With our strong investment in research and development and our culture of continuous improvement, the company is the industry leader in the manufacturing of advance composite materials, including carbon fiber, woven reinforcements, resins, prepregs, honeycombs and additive manufactured parts. We invite you to join the the company team at various manufacturing sites, sales offices and R&D centers around the globe. Become a part of the "strength within." the company is currently seeking a Developer (Full Stack, Cloud, AI & Platform Delivery) for our Duxford, UK location. Role Purpose We are seeking a highly hands-on Developer to design, build, and deliver modern enterprise applications across the full software lifecycle. This is an end-to-end ownership role, responsible not only for development but also for build, deployment, release, and production support. You will work across the full stack while embedding AI-driven capabilities, including prompt-engineered and data-grounded (RAG-based) solutions, into business applications. Over time, you will contribute to platform design, architectural direction, and engineering standards, with a clear path toward technical leadership. The selected individual will be responsible for but not limited to the following obligations: End-to-End Engineering & Delivery (Core Focus) Release Management & Production Support Cloud, DevOps & Infrastructure Containerization & Modern Platform Engineering AI & Intelligent Solutions Architecture & Technical Growth Collaboration & Delivery Qualifications Strong hands-on experience with: C# / .NET React Bicep (Infrastructure as Code) CI/CD pipelines (Azure DevOps / GitHub Actions) GitHub workflows Containerisation (Docker) Prompt engineering for LLM-based solutions (structured prompting, chaining, and output validation) Experience building or integrating Retrieval-Augmented Generation (RAG) pipelines (e.g. embeddings, vector search, data grounding) Proven experience delivering end-to-end solutions into production Experience building APIs and microservices Strong experience with Microsoft Azure DevOps, Cloud & Platform Engineering AI & Modern Development Excellent problem-solving and analytical thinking Proactive, self-driven learner Candidates must be eligible to work in the country where the position is based. the company (NYSE: HXL) is a global leader in advanced composites technology, a leading producer of carbon fiber, and the world leader in honeycomb manufacturing for the commercial aerospace industry.
Who We Are the company is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world's leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate, and deliver-for each other and our clients-to make the world work better for people. Overview We are looking for an AI Developer to join our dynamic team and contribute to the design, development, and deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data processing, cloud-native architectures, and modern AI development patterns will be highly valued. Responsibilities Develop, test, and maintain AI-powered applications and intelligent workflows using Python in a cloud-native environment Design and implement RESTful APIs, microservices, and backend services to integrate AI models, external tools, and enterprise systems Build and optimize data pipelines for structured and unstructured data used in AI application workflows Support the implementation of retrieval-based and prompt-driven AI experiences, including semantic search and contextual response generation Optimize application and model integration performance for scalability, reliability, latency, and maintainability Collaborate with cross-functional teams to define, design, and ship AI-enabled features and solutions Implement best practices for security, testing, monitoring, and CI/CD automation across AI application development Debug and resolve issues across application logic, model integrations, and system performance to ensure high availability and reliability Write clean, structured, and well-documented code aligned with the team's engineering standards and development best practices Stay updated with emerging AI technologies, Python frameworks, and industry trends relevant to intelligent application development Required Skills 5-8 years of Python development experience, with 2+ years of AI/ML development Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI Experience with API development, integration, and web services in production environments Hands on experience integrating AI or ML models, LLM APIs, or automation frameworks into applications Strong knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes Understanding of asynchronous programming, performance optimization, and scalable backend architectures Experience with unit testing, debugging, version control, and software engineering best practices Familiarity with data processing, prompt-driven workflows, semantic search, or retrieval based AI patterns is a strong plus Ability to work effectively in a collaborative team environment with strong problem solving and execution skills Desirable Skills Experience working with Agile development methodologies Familiarity with DevOps and MLOps practices, including CI/CD pipelines, infrastructure automation, and deployment workflows Exposure to vector databases, embeddings, or orchestration frameworks used in modern AI applications Strong written and verbal communication skills with the ability to document technical solutions clearly
27/07/2026
Full time
Who We Are the company is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world's leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate, and deliver-for each other and our clients-to make the world work better for people. Overview We are looking for an AI Developer to join our dynamic team and contribute to the design, development, and deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data processing, cloud-native architectures, and modern AI development patterns will be highly valued. Responsibilities Develop, test, and maintain AI-powered applications and intelligent workflows using Python in a cloud-native environment Design and implement RESTful APIs, microservices, and backend services to integrate AI models, external tools, and enterprise systems Build and optimize data pipelines for structured and unstructured data used in AI application workflows Support the implementation of retrieval-based and prompt-driven AI experiences, including semantic search and contextual response generation Optimize application and model integration performance for scalability, reliability, latency, and maintainability Collaborate with cross-functional teams to define, design, and ship AI-enabled features and solutions Implement best practices for security, testing, monitoring, and CI/CD automation across AI application development Debug and resolve issues across application logic, model integrations, and system performance to ensure high availability and reliability Write clean, structured, and well-documented code aligned with the team's engineering standards and development best practices Stay updated with emerging AI technologies, Python frameworks, and industry trends relevant to intelligent application development Required Skills 5-8 years of Python development experience, with 2+ years of AI/ML development Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI Experience with API development, integration, and web services in production environments Hands on experience integrating AI or ML models, LLM APIs, or automation frameworks into applications Strong knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes Understanding of asynchronous programming, performance optimization, and scalable backend architectures Experience with unit testing, debugging, version control, and software engineering best practices Familiarity with data processing, prompt-driven workflows, semantic search, or retrieval based AI patterns is a strong plus Ability to work effectively in a collaborative team environment with strong problem solving and execution skills Desirable Skills Experience working with Agile development methodologies Familiarity with DevOps and MLOps practices, including CI/CD pipelines, infrastructure automation, and deployment workflows Exposure to vector databases, embeddings, or orchestration frameworks used in modern AI applications Strong written and verbal communication skills with the ability to document technical solutions clearly
AI Security Architect About the role As a AI Security Architect , you will lead the design and implementation of robust security architectures, standards, and governance frameworks for Artificial Intelligence (AI), Generative AI (GenAI), AI-powered applications, agents, copilots, and enterprise environments. This role requires a deep understanding of AI security, AI governance, cloud-native security, application security, data security, and enterprise security technologies. You will work closely with product teams, AI engineering teams, developers, security engineers, DevSecOps, legal, risk, and operations teams to ensure security is Embedded throughout the application life cycle, from solution design and vendor selection to deployment, operation, and ongoing monitoring. The role will define secure AI architecture patterns, provide security oversight for AI initiatives, and enable responsible AI adoption aligned with organisational policies and industry frameworks. Reporting to the Enterprise Security Architect and collaborating with stakeholders, such as the Head of Cyber Security, BISOs and Solutions Architects, you will assist in promoting a harmonised security architecture via standards, patterns, and tooling. Tell me more, tell me more Our client is currently looking for a new recruit in joining their team, please read on! You can also ask our friendly recruitment team any questions you may have about the role, between 8:30am-5:30pm Monday to Friday. Shifts: Monday - Friday (37.5 hours per week) The must haves: Extensive hands-on experience with Threat Modelling, SAST, DAST, and web application security, including OWASP Top 10, CWE Top 25, and SANS 25. Hands-on experience with GCP security architecture (IAM, VPC, Cloud KMS, Cloud Armor etc.) and other cloud-native security tools. Strong understanding of data security practices, including encryption, access control, data security controls and AI security standards. Up to date on cybersecurity threats, risk assessment, and frameworks/regulations (GDPR, PCI, NIST, ISO27001). Proven experience in requirements identification, solution testing, and vendor product selection. Demonstrated leadership and relationship management with internal and external partners, along with excellent communication and presentation skills to build consensus. Strongly self-motivated and able to present a credible and effective case for risk management and security requirements with tact and tenacity to senior executives Strategic orientation with ability to act tactically as required. Strong negotiator/facilitator and consensus builder with results-oriented commitment. Ability to interact at all levels of the organisation. Key responsibilities Partner with teams for development and implement of application/cloud security standards, patterns and guidelines that support ongoing deliveries and balance risk and business benefit. Continuously review the design and effectiveness of application/cloud security controls and develop a program of continuous security improvement. Define and maintain secure AI architecture patterns and standards for AI-powered applications, GenAI solutions, AI agents, and AI platforms, ensuring secure-by-design implementation across the organisation. Review and approve AI solution architectures to ensure appropriate security controls, data protection measures, identity controls, network security, and compliance requirements are incorporated before deployment. Perform AI-focused threat modelling and security assessments, identifying risks such as sensitive data exposure, prompt injection, indirect prompt attacks, model misuse, insecure plugins, excessive permissions, and supply chain vulnerabilities. Provide strategic security leadership for AI initiatives, partnering with architecture, engineering, risk, legal, data governance, and compliance teams to enable secure AI adoption while aligning with industry frameworks and standards including ISO/IEC 42001 (AI Management Systems), NIST AI Risk Management Framework (AI RMF), ISO 27001, CIS Controls, and organisational security policies. Identify gaps in existing AI architecture design and recommend changes or enhancements. Recommend and evaluate security tools including static and dynamic analysers, security frameworks, and tools for AI governance etc. Partner with engineering teams to integrate security controls into continuous integration, delivery and deployment processes. Introduce best practices and principles to enable consistent delivery and enable alignment with long-term direction through security architecture artefacts (Design patterns, Principles, Architecture contract and governance). Provide technical and architectural governance and guidance on security architecture and solutions. What's in it for you? - Our client loves to reward their people for doing a great job. This is a contract for 5-6 months. A day rate, in-scope IR35, £600.00-650 per day (via a Hays approved umbrella company) or £450.00-500 per day via Hays PAYE This role provides a remote working access from the comforts of your own home and only going to our state-of-the-art office in Reading/Paddington twice per week. Next Steps Once you've applied, one of our friendly recruitment consultants will give you a call and talk you through the screening process. If your application is successful, you'll be involved in a live virtual interview with one of our client's hiring managers to get to know you better. We look forward to speaking to you!
27/07/2026
Contractor
AI Security Architect About the role As a AI Security Architect , you will lead the design and implementation of robust security architectures, standards, and governance frameworks for Artificial Intelligence (AI), Generative AI (GenAI), AI-powered applications, agents, copilots, and enterprise environments. This role requires a deep understanding of AI security, AI governance, cloud-native security, application security, data security, and enterprise security technologies. You will work closely with product teams, AI engineering teams, developers, security engineers, DevSecOps, legal, risk, and operations teams to ensure security is Embedded throughout the application life cycle, from solution design and vendor selection to deployment, operation, and ongoing monitoring. The role will define secure AI architecture patterns, provide security oversight for AI initiatives, and enable responsible AI adoption aligned with organisational policies and industry frameworks. Reporting to the Enterprise Security Architect and collaborating with stakeholders, such as the Head of Cyber Security, BISOs and Solutions Architects, you will assist in promoting a harmonised security architecture via standards, patterns, and tooling. Tell me more, tell me more Our client is currently looking for a new recruit in joining their team, please read on! You can also ask our friendly recruitment team any questions you may have about the role, between 8:30am-5:30pm Monday to Friday. Shifts: Monday - Friday (37.5 hours per week) The must haves: Extensive hands-on experience with Threat Modelling, SAST, DAST, and web application security, including OWASP Top 10, CWE Top 25, and SANS 25. Hands-on experience with GCP security architecture (IAM, VPC, Cloud KMS, Cloud Armor etc.) and other cloud-native security tools. Strong understanding of data security practices, including encryption, access control, data security controls and AI security standards. Up to date on cybersecurity threats, risk assessment, and frameworks/regulations (GDPR, PCI, NIST, ISO27001). Proven experience in requirements identification, solution testing, and vendor product selection. Demonstrated leadership and relationship management with internal and external partners, along with excellent communication and presentation skills to build consensus. Strongly self-motivated and able to present a credible and effective case for risk management and security requirements with tact and tenacity to senior executives Strategic orientation with ability to act tactically as required. Strong negotiator/facilitator and consensus builder with results-oriented commitment. Ability to interact at all levels of the organisation. Key responsibilities Partner with teams for development and implement of application/cloud security standards, patterns and guidelines that support ongoing deliveries and balance risk and business benefit. Continuously review the design and effectiveness of application/cloud security controls and develop a program of continuous security improvement. Define and maintain secure AI architecture patterns and standards for AI-powered applications, GenAI solutions, AI agents, and AI platforms, ensuring secure-by-design implementation across the organisation. Review and approve AI solution architectures to ensure appropriate security controls, data protection measures, identity controls, network security, and compliance requirements are incorporated before deployment. Perform AI-focused threat modelling and security assessments, identifying risks such as sensitive data exposure, prompt injection, indirect prompt attacks, model misuse, insecure plugins, excessive permissions, and supply chain vulnerabilities. Provide strategic security leadership for AI initiatives, partnering with architecture, engineering, risk, legal, data governance, and compliance teams to enable secure AI adoption while aligning with industry frameworks and standards including ISO/IEC 42001 (AI Management Systems), NIST AI Risk Management Framework (AI RMF), ISO 27001, CIS Controls, and organisational security policies. Identify gaps in existing AI architecture design and recommend changes or enhancements. Recommend and evaluate security tools including static and dynamic analysers, security frameworks, and tools for AI governance etc. Partner with engineering teams to integrate security controls into continuous integration, delivery and deployment processes. Introduce best practices and principles to enable consistent delivery and enable alignment with long-term direction through security architecture artefacts (Design patterns, Principles, Architecture contract and governance). Provide technical and architectural governance and guidance on security architecture and solutions. What's in it for you? - Our client loves to reward their people for doing a great job. This is a contract for 5-6 months. A day rate, in-scope IR35, £600.00-650 per day (via a Hays approved umbrella company) or £450.00-500 per day via Hays PAYE This role provides a remote working access from the comforts of your own home and only going to our state-of-the-art office in Reading/Paddington twice per week. Next Steps Once you've applied, one of our friendly recruitment consultants will give you a call and talk you through the screening process. If your application is successful, you'll be involved in a live virtual interview with one of our client's hiring managers to get to know you better. We look forward to speaking to you!
AI Security Software Engineer (GenAI & LLM Security) Location: London (Hybrid - 1-2 days per week in the office) Salary: Up to £90,000 + Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging threats. We're looking for an experienced AI Security Software Engineer to design and develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer, you'll be responsible for designing, developing and enhancing a cutting-edge GenAI security platform that protects enterprise AI and LLM applications against prompt injection attacks, adversarial inputs and other emerging AI security risks. You'll build scalable security capabilities, develop automated testing frameworks, and create robust APIs and services that operate across large enterprise environments. Working alongside engineering, security and operations teams, you'll play a key role in ensuring AI applications are secure, resilient and production-ready. This role offers the opportunity to work on highly innovative AI security challenges while influencing the architecture and design of enterprise-scale software solutions. What You'll Be Doing Design, build and enhance secure platforms that protect Generative AI and LLM applications. Develop automated security testing frameworks to validate AI protection mechanisms. Build secure, scalable APIs and enterprise software solutions. Contribute to the architecture and design of cloud-native, distributed applications. Collaborate with engineering, cyber security and operations teams across global locations. Develop software that performs reliably at enterprise scale. Help define best practices for AI security, secure software development and cloud-native engineering. What We're Looking For You'll have a strong background in software engineering with experience building enterprise applications using Python and/or Go . You'll be comfortable designing secure APIs, developing scalable services, and working across the full software development life cycle. Experience with container technologies such as Kubernetes or OpenShift is essential, along with modern development tools including Git, Jenkins and CI/CD pipelines. We're particularly interested in engineers with exposure to Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Security, DevSecOps, MLSecOps or adversarial testing . While direct experience securing AI platforms is highly desirable, candidates with strong software engineering and cyber security backgrounds looking to move into AI Security are also encouraged to apply. Key Skills 7+ years' experience in software engineering or security engineering. Strong Python and/or Go development experience. Experience designing secure APIs and enterprise software. Knowledge of cloud-native architectures and distributed systems. Experience with Kubernetes, OpenShift or containerised deployments. Familiarity with CI/CD, DevSecOps and secure software development practices. Experience with Generative AI, LLMs, Prompt Engineering or AI Security is highly desirable. Excellent communication and stakeholder management skills. What's on Offer You'll join one of the world's leading technology consultancies, working on some of the most exciting AI Security projects in the industry. Alongside a salary of up to £90,000 , you'll receive an annual bonus, comprehensive benefits package, structured career development, access to cutting-edge AI technologies, industry certifications, and the opportunity to work alongside some of the brightest engineers in cloud, cyber security and artificial intelligence. If you're passionate about secure software engineering, AI, and solving the next generation of cyber security challenges, we'd love to hear from you.
27/07/2026
Full time
AI Security Software Engineer (GenAI & LLM Security) Location: London (Hybrid - 1-2 days per week in the office) Salary: Up to £90,000 + Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging threats. We're looking for an experienced AI Security Software Engineer to design and develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer, you'll be responsible for designing, developing and enhancing a cutting-edge GenAI security platform that protects enterprise AI and LLM applications against prompt injection attacks, adversarial inputs and other emerging AI security risks. You'll build scalable security capabilities, develop automated testing frameworks, and create robust APIs and services that operate across large enterprise environments. Working alongside engineering, security and operations teams, you'll play a key role in ensuring AI applications are secure, resilient and production-ready. This role offers the opportunity to work on highly innovative AI security challenges while influencing the architecture and design of enterprise-scale software solutions. What You'll Be Doing Design, build and enhance secure platforms that protect Generative AI and LLM applications. Develop automated security testing frameworks to validate AI protection mechanisms. Build secure, scalable APIs and enterprise software solutions. Contribute to the architecture and design of cloud-native, distributed applications. Collaborate with engineering, cyber security and operations teams across global locations. Develop software that performs reliably at enterprise scale. Help define best practices for AI security, secure software development and cloud-native engineering. What We're Looking For You'll have a strong background in software engineering with experience building enterprise applications using Python and/or Go . You'll be comfortable designing secure APIs, developing scalable services, and working across the full software development life cycle. Experience with container technologies such as Kubernetes or OpenShift is essential, along with modern development tools including Git, Jenkins and CI/CD pipelines. We're particularly interested in engineers with exposure to Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Security, DevSecOps, MLSecOps or adversarial testing . While direct experience securing AI platforms is highly desirable, candidates with strong software engineering and cyber security backgrounds looking to move into AI Security are also encouraged to apply. Key Skills 7+ years' experience in software engineering or security engineering. Strong Python and/or Go development experience. Experience designing secure APIs and enterprise software. Knowledge of cloud-native architectures and distributed systems. Experience with Kubernetes, OpenShift or containerised deployments. Familiarity with CI/CD, DevSecOps and secure software development practices. Experience with Generative AI, LLMs, Prompt Engineering or AI Security is highly desirable. Excellent communication and stakeholder management skills. What's on Offer You'll join one of the world's leading technology consultancies, working on some of the most exciting AI Security projects in the industry. Alongside a salary of up to £90,000 , you'll receive an annual bonus, comprehensive benefits package, structured career development, access to cutting-edge AI technologies, industry certifications, and the opportunity to work alongside some of the brightest engineers in cloud, cyber security and artificial intelligence. If you're passionate about secure software engineering, AI, and solving the next generation of cyber security challenges, we'd love to hear from you.
About The Role: The Therabody mobile app connects to Therabody devices via Bluetooth, provides guided routines, advanced controls, and most recently offers AI-generated recovery recommendations and wearables integration to maximize customers' efficacy and usage of Therabody products. As the Sr Product Manager, you will drive app engagement by owning and executing the roadmap for the Therabody app experience at the cross section of software, hardware, firmware and AI. You will partner closely with stakeholders in UX/UI design, software and firmware engineering, marketing, and sales to launch features and content that align with company objectives and key results. You will obsess over getting the customer experience right, and ensure that hypothesis-driven A/B testing, alongside app analytics, is used to validate success. Key Responsibilities: Define and own a prioritized mobile app roadmap and backlog, aligning multiple concurrent initiatives with overall business strategy and influencing objectives at the leadership level. Own the complete execution and launch of complex, cross-functional app features end-to-end, from strategy and inception through delivery, measurement, and continuous improvement. Lead collaboration with UX/UI designers to craft intuitive mobile experiences, and set the research and user testing agenda to validate direction. Partner with Product Development to define digital features that complement our physical products, shaping firmware requirements and informing hardware/software integration decisions. Write and refine user stories with engineering teams, drive backlog grooming, and own User Acceptance Testing to ensure features deploy to specification. Partner with design, marketing, and engineering teams to generate hypotheses for product enhancements, develop go-to-market launch plans, and measure key results. Champion agile principles and scrum best practices across the full software development lifecycle. Obsess over key performance indicators (KPIs) for mobile, such as engagement and conversion, to ensure the app exceeds business goals, and use insights to drive continuous improvement. Stay ahead of mobile trends at the intersection of iOS, Android, and generative AI and ML models. About You: 5-7 years in Product Management experience with a focus on mobile applications that have hardware counterparts (iOS and Android). Proven track record of delivering successful mobile products or features. Deep understanding of the mobile app ecosystem, app store dynamics, and mobile analytics tools (e.g. Firebase, Fullstory, Google Analytics). Experience with Bluetooth-enabled hardware, firmware, and app interactions. Strong grasp of UX principles, A/B testing, and data-driven decision making. Comfortable working with content management systems such as Contentful. Exceptional communication skills; able to influence across functional teams and executive level. Bonus: Experience working with generative AI prompting and models such as Claude, ChatGPT, or Gemini and experience using AWS Bedrock. Location: London Office (Hybrid, 3 Days) The pay range for this role is: 50,000 - 70,000 GBP per year (UK Office)
27/07/2026
Full time
About The Role: The Therabody mobile app connects to Therabody devices via Bluetooth, provides guided routines, advanced controls, and most recently offers AI-generated recovery recommendations and wearables integration to maximize customers' efficacy and usage of Therabody products. As the Sr Product Manager, you will drive app engagement by owning and executing the roadmap for the Therabody app experience at the cross section of software, hardware, firmware and AI. You will partner closely with stakeholders in UX/UI design, software and firmware engineering, marketing, and sales to launch features and content that align with company objectives and key results. You will obsess over getting the customer experience right, and ensure that hypothesis-driven A/B testing, alongside app analytics, is used to validate success. Key Responsibilities: Define and own a prioritized mobile app roadmap and backlog, aligning multiple concurrent initiatives with overall business strategy and influencing objectives at the leadership level. Own the complete execution and launch of complex, cross-functional app features end-to-end, from strategy and inception through delivery, measurement, and continuous improvement. Lead collaboration with UX/UI designers to craft intuitive mobile experiences, and set the research and user testing agenda to validate direction. Partner with Product Development to define digital features that complement our physical products, shaping firmware requirements and informing hardware/software integration decisions. Write and refine user stories with engineering teams, drive backlog grooming, and own User Acceptance Testing to ensure features deploy to specification. Partner with design, marketing, and engineering teams to generate hypotheses for product enhancements, develop go-to-market launch plans, and measure key results. Champion agile principles and scrum best practices across the full software development lifecycle. Obsess over key performance indicators (KPIs) for mobile, such as engagement and conversion, to ensure the app exceeds business goals, and use insights to drive continuous improvement. Stay ahead of mobile trends at the intersection of iOS, Android, and generative AI and ML models. About You: 5-7 years in Product Management experience with a focus on mobile applications that have hardware counterparts (iOS and Android). Proven track record of delivering successful mobile products or features. Deep understanding of the mobile app ecosystem, app store dynamics, and mobile analytics tools (e.g. Firebase, Fullstory, Google Analytics). Experience with Bluetooth-enabled hardware, firmware, and app interactions. Strong grasp of UX principles, A/B testing, and data-driven decision making. Comfortable working with content management systems such as Contentful. Exceptional communication skills; able to influence across functional teams and executive level. Bonus: Experience working with generative AI prompting and models such as Claude, ChatGPT, or Gemini and experience using AWS Bedrock. Location: London Office (Hybrid, 3 Days) The pay range for this role is: 50,000 - 70,000 GBP per year (UK Office)
AI Security Software Engineer (GenAI & LLM Security) Location: London (Hybrid - 1-2 days per week in the office) Salary: Up to 90,000 + Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging threats. We're looking for an experienced AI Security Software Engineer to design and develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer, you'll be responsible for designing, developing and enhancing a cutting-edge GenAI security platform that protects enterprise AI and LLM applications against prompt injection attacks, adversarial inputs and other emerging AI security risks. You'll build scalable security capabilities, develop automated testing frameworks, and create robust APIs and services that operate across large enterprise environments. Working alongside engineering, security and operations teams, you'll play a key role in ensuring AI applications are secure, resilient and production-ready. This role offers the opportunity to work on highly innovative AI security challenges while influencing the architecture and design of enterprise-scale software solutions. What You'll Be Doing Design, build and enhance secure platforms that protect Generative AI and LLM applications. Develop automated security testing frameworks to validate AI protection mechanisms. Build secure, scalable APIs and enterprise software solutions. Contribute to the architecture and design of cloud-native, distributed applications. Collaborate with engineering, cyber security and operations teams across global locations. Develop software that performs reliably at enterprise scale. Help define best practices for AI security, secure software development and cloud-native engineering. What We're Looking For You'll have a strong background in software engineering with experience building enterprise applications using Python and/or Go . You'll be comfortable designing secure APIs, developing scalable services, and working across the full software development lifecycle. Experience with container technologies such as Kubernetes or OpenShift is essential, along with modern development tools including Git, Jenkins and CI/CD pipelines. We're particularly interested in engineers with exposure to Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Security, DevSecOps, MLSecOps or adversarial testing . While direct experience securing AI platforms is highly desirable, candidates with strong software engineering and cyber security backgrounds looking to move into AI Security are also encouraged to apply. Key Skills 7+ years' experience in software engineering or security engineering. Strong Python and/or Go development experience. Experience designing secure APIs and enterprise software. Knowledge of cloud-native architectures and distributed systems. Experience with Kubernetes, OpenShift or containerised deployments. Familiarity with CI/CD, DevSecOps and secure software development practices. Experience with Generative AI, LLMs, Prompt Engineering or AI Security is highly desirable. Excellent communication and stakeholder management skills. What's on Offer You'll join one of the world's leading technology consultancies, working on some of the most exciting AI Security projects in the industry. Alongside a salary of up to 90,000 , you'll receive an annual bonus, comprehensive benefits package, structured career development, access to cutting-edge AI technologies, industry certifications, and the opportunity to work alongside some of the brightest engineers in cloud, cyber security and artificial intelligence. If you're passionate about secure software engineering, AI, and solving the next generation of cyber security challenges, we'd love to hear from you.
27/07/2026
Full time
AI Security Software Engineer (GenAI & LLM Security) Location: London (Hybrid - 1-2 days per week in the office) Salary: Up to 90,000 + Bonus + Excellent Benefits We're partnering with a leading global technology consultancy that's expanding its AI Security and Engineering practice. As organisations rapidly adopt Generative AI, this team is focused on building secure, enterprise-grade AI platforms that protect Large Language Model (LLM) applications from emerging threats. We're looking for an experienced AI Security Software Engineer to design and develop innovative security solutions that safeguard enterprise AI applications. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering, and Generative AI , helping shape the future of secure AI adoption across global organisations. The Role As an AI Security Software Engineer, you'll be responsible for designing, developing and enhancing a cutting-edge GenAI security platform that protects enterprise AI and LLM applications against prompt injection attacks, adversarial inputs and other emerging AI security risks. You'll build scalable security capabilities, develop automated testing frameworks, and create robust APIs and services that operate across large enterprise environments. Working alongside engineering, security and operations teams, you'll play a key role in ensuring AI applications are secure, resilient and production-ready. This role offers the opportunity to work on highly innovative AI security challenges while influencing the architecture and design of enterprise-scale software solutions. What You'll Be Doing Design, build and enhance secure platforms that protect Generative AI and LLM applications. Develop automated security testing frameworks to validate AI protection mechanisms. Build secure, scalable APIs and enterprise software solutions. Contribute to the architecture and design of cloud-native, distributed applications. Collaborate with engineering, cyber security and operations teams across global locations. Develop software that performs reliably at enterprise scale. Help define best practices for AI security, secure software development and cloud-native engineering. What We're Looking For You'll have a strong background in software engineering with experience building enterprise applications using Python and/or Go . You'll be comfortable designing secure APIs, developing scalable services, and working across the full software development lifecycle. Experience with container technologies such as Kubernetes or OpenShift is essential, along with modern development tools including Git, Jenkins and CI/CD pipelines. We're particularly interested in engineers with exposure to Generative AI, Large Language Models (LLMs), Prompt Engineering, AI Security, DevSecOps, MLSecOps or adversarial testing . While direct experience securing AI platforms is highly desirable, candidates with strong software engineering and cyber security backgrounds looking to move into AI Security are also encouraged to apply. Key Skills 7+ years' experience in software engineering or security engineering. Strong Python and/or Go development experience. Experience designing secure APIs and enterprise software. Knowledge of cloud-native architectures and distributed systems. Experience with Kubernetes, OpenShift or containerised deployments. Familiarity with CI/CD, DevSecOps and secure software development practices. Experience with Generative AI, LLMs, Prompt Engineering or AI Security is highly desirable. Excellent communication and stakeholder management skills. What's on Offer You'll join one of the world's leading technology consultancies, working on some of the most exciting AI Security projects in the industry. Alongside a salary of up to 90,000 , you'll receive an annual bonus, comprehensive benefits package, structured career development, access to cutting-edge AI technologies, industry certifications, and the opportunity to work alongside some of the brightest engineers in cloud, cyber security and artificial intelligence. If you're passionate about secure software engineering, AI, and solving the next generation of cyber security challenges, we'd love to hear from you.
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
27/07/2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
27/07/2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
DWIT Technical Architect Clearance Required: Current SC (HMRC SC would be an advantage) Candidates will not be able to start until their SC clearance has been transferred/shared with HMRC Duration: 6 months Location: Telford - 2 days onsite per week IR35 Status: Capgemini Mandated PAYE only Job Description: Role Purpose The DWIT Data Architect is responsible for producing the detailed analysis, documentation and architecture artefacts needed to support the transformation of existing data feeds to AWS and the planned decommissioning of Legacy services. The role works under the direction of Lead Architects, turning complex Legacy information into clear, structured and delivery-ready outputs. It is a hands-on role focused on feed discovery, dependency analysis, documentation quality, option development and practical support to migration and decommissioning planning. Context DWIT is undertaking a significant transformation of existing data feeds and Legacy services onto AWS. The work requires disciplined discovery, consistent documentation, clear architectural judgement and practical decommissioning plans that can be executed safely across a complex client and supplier landscape. The Data Architect will work closely with Lead Architects, engineers, delivery teams, operations teams and client stakeholders to understand existing feeds, capture relevant detail, identify gaps and help shape the information needed for AWS transformation and Legacy service retirement. Core Accountabilities The Data Architect is accountable for producing accurate, clear and evidence-based architecture outputs within assigned DWIT workstreams, working to the standards and direction set by the Lead Architects. Accountabilities include: Discovering, analysing and documenting existing data feeds, interfaces, dependencies, service ownership, operational constraints and business usage. Applying agreed documentation standards, templates and quality expectations so feed analysis is consistent, traceable and usable by engineering, delivery, operations and governance teams. Supporting the definition of target-state AWS transformation approaches for existing feeds, including data movement, processing, integration, security, resilience, observability and support considerations. Contributing to decommissioning strategies for Legacy services by documenting dependencies, migration sequencing, risks, parallel running needs, cutover considerations and retirement evidence. Using AI-enabled tools to accelerate feed discovery, documentation, code and metadata analysis, dependency identification and production of draft architecture artefacts, with appropriate review by Lead Architects. Capturing assumptions, risks, issues and decisions clearly, ensuring they are visible to Lead Architects and supported by evidence where possible. Working with Lead Architects, delivery leads, engineers, operations teams, client stakeholders and third parties to gather information, validate findings and support realistic transformation and decommissioning plans. Preparing architecture artefacts for review, including feed documentation, dependency maps, option summaries, impact assessments, risk logs and design inputs. Communicating findings clearly and escalating gaps, conflicts, risks or incomplete information that could affect delivery confidence. Expected Outcomes The role is expected to produce clear, usable outputs that support Lead Architects, engineering teams and delivery governance across the DWIT transformation. Expected outcomes include: Accurate and complete documentation of assigned feeds, interfaces, dependencies, service owners, schedules, consumers and operational constraints. Clear analysis packs that support AWS transformation options, including current-state findings, gaps, risks, assumptions and candidate target patterns. Decommissioning inputs that identify dependencies, sequencing considerations, controls, evidence requirements and conditions for retiring Legacy services. Architecture artefacts that are structured, evidence-based and ready for review by Lead Architects and programme governance. Practical use of AI-enabled approaches to improve the speed and consistency of discovery and documentation, with outputs checked and refined before use. Skills and Experience The role requires a hands-on data architect with experience analysing complex Legacy environments, documenting data flows and supporting cloud transformation or migration activity. Required experience includes: Producing architecture documentation and analysis outputs to agreed standards, with enough clarity and evidence to support review, decision-making and delivery planning. Documenting and analysing complex Legacy data feeds, interfaces, schedules, source systems, consumers, business rules, service dependencies and operational constraints. Supporting migration and transformation approaches for AWS-based data services, including data pipelines, storage, processing, integration, security, monitoring and support considerations. Contributing to decommissioning planning for Legacy platforms and services, including dependency analysis, migration sequencing, risk identification and evidence-based retirement decisions. Working within architecture governance in a large, multi-supplier environment, including preparing artefacts for design assurance, decision control, risk management and alignment to enterprise standards. Using AI and automation tools to improve the speed and quality of discovery, documentation, analysis and architecture production, with appropriate checking and evidence. Experience across on-premise, cloud or hybrid environments, with understanding of the practical challenges involved in transforming Legacy services to AWS. Clear communication and facilitation skills, especially when gathering information, validating findings and explaining Legacy dependencies or transformation impacts. Ways of Working The Data Architect is expected to operate as a hands-on contributor within the architecture team, working to the direction of Lead Architects while taking ownership for the quality and completeness of assigned outputs. Expected ways of working include: Working to priorities, standards, expected outputs, review points and delivery milestones set by the Lead Architects. Working collaboratively with architects, engineers, operations, delivery teams, client stakeholders and third parties to gather information, validate findings and resolve gaps. Identifying incomplete analysis, weak assumptions, unclear decisions or documentation gaps and raising them early for resolution. Communicating findings in plain English, with clear evidence, assumptions, risks and recommended next steps. Maintaining pace and quality where documentation gaps, Legacy complexity or changing priorities create ambiguity. Use of AI and Automation The role should use AI and automation to improve the speed, consistency and quality of discovery, documentation and analysis. AI should be used as an accelerator, with outputs checked before they are used to support architecture decisions or delivery artefacts. Expected uses include: Accelerating analysis of Legacy code, configuration, metadata, schedules, schemas, interface definitions and existing documentation. Supporting feed documentation, dependency mapping, option development, risk identification and production of architecture artefacts. Reusing agreed prompts, templates, patterns and review checklists provided by Lead Architects or the wider DWIT architecture team. Checking, refining and evidencing AI-generated outputs before they are shared for review or used in architecture artefacts.
27/07/2026
Contractor
DWIT Technical Architect Clearance Required: Current SC (HMRC SC would be an advantage) Candidates will not be able to start until their SC clearance has been transferred/shared with HMRC Duration: 6 months Location: Telford - 2 days onsite per week IR35 Status: Capgemini Mandated PAYE only Job Description: Role Purpose The DWIT Data Architect is responsible for producing the detailed analysis, documentation and architecture artefacts needed to support the transformation of existing data feeds to AWS and the planned decommissioning of Legacy services. The role works under the direction of Lead Architects, turning complex Legacy information into clear, structured and delivery-ready outputs. It is a hands-on role focused on feed discovery, dependency analysis, documentation quality, option development and practical support to migration and decommissioning planning. Context DWIT is undertaking a significant transformation of existing data feeds and Legacy services onto AWS. The work requires disciplined discovery, consistent documentation, clear architectural judgement and practical decommissioning plans that can be executed safely across a complex client and supplier landscape. The Data Architect will work closely with Lead Architects, engineers, delivery teams, operations teams and client stakeholders to understand existing feeds, capture relevant detail, identify gaps and help shape the information needed for AWS transformation and Legacy service retirement. Core Accountabilities The Data Architect is accountable for producing accurate, clear and evidence-based architecture outputs within assigned DWIT workstreams, working to the standards and direction set by the Lead Architects. Accountabilities include: Discovering, analysing and documenting existing data feeds, interfaces, dependencies, service ownership, operational constraints and business usage. Applying agreed documentation standards, templates and quality expectations so feed analysis is consistent, traceable and usable by engineering, delivery, operations and governance teams. Supporting the definition of target-state AWS transformation approaches for existing feeds, including data movement, processing, integration, security, resilience, observability and support considerations. Contributing to decommissioning strategies for Legacy services by documenting dependencies, migration sequencing, risks, parallel running needs, cutover considerations and retirement evidence. Using AI-enabled tools to accelerate feed discovery, documentation, code and metadata analysis, dependency identification and production of draft architecture artefacts, with appropriate review by Lead Architects. Capturing assumptions, risks, issues and decisions clearly, ensuring they are visible to Lead Architects and supported by evidence where possible. Working with Lead Architects, delivery leads, engineers, operations teams, client stakeholders and third parties to gather information, validate findings and support realistic transformation and decommissioning plans. Preparing architecture artefacts for review, including feed documentation, dependency maps, option summaries, impact assessments, risk logs and design inputs. Communicating findings clearly and escalating gaps, conflicts, risks or incomplete information that could affect delivery confidence. Expected Outcomes The role is expected to produce clear, usable outputs that support Lead Architects, engineering teams and delivery governance across the DWIT transformation. Expected outcomes include: Accurate and complete documentation of assigned feeds, interfaces, dependencies, service owners, schedules, consumers and operational constraints. Clear analysis packs that support AWS transformation options, including current-state findings, gaps, risks, assumptions and candidate target patterns. Decommissioning inputs that identify dependencies, sequencing considerations, controls, evidence requirements and conditions for retiring Legacy services. Architecture artefacts that are structured, evidence-based and ready for review by Lead Architects and programme governance. Practical use of AI-enabled approaches to improve the speed and consistency of discovery and documentation, with outputs checked and refined before use. Skills and Experience The role requires a hands-on data architect with experience analysing complex Legacy environments, documenting data flows and supporting cloud transformation or migration activity. Required experience includes: Producing architecture documentation and analysis outputs to agreed standards, with enough clarity and evidence to support review, decision-making and delivery planning. Documenting and analysing complex Legacy data feeds, interfaces, schedules, source systems, consumers, business rules, service dependencies and operational constraints. Supporting migration and transformation approaches for AWS-based data services, including data pipelines, storage, processing, integration, security, monitoring and support considerations. Contributing to decommissioning planning for Legacy platforms and services, including dependency analysis, migration sequencing, risk identification and evidence-based retirement decisions. Working within architecture governance in a large, multi-supplier environment, including preparing artefacts for design assurance, decision control, risk management and alignment to enterprise standards. Using AI and automation tools to improve the speed and quality of discovery, documentation, analysis and architecture production, with appropriate checking and evidence. Experience across on-premise, cloud or hybrid environments, with understanding of the practical challenges involved in transforming Legacy services to AWS. Clear communication and facilitation skills, especially when gathering information, validating findings and explaining Legacy dependencies or transformation impacts. Ways of Working The Data Architect is expected to operate as a hands-on contributor within the architecture team, working to the direction of Lead Architects while taking ownership for the quality and completeness of assigned outputs. Expected ways of working include: Working to priorities, standards, expected outputs, review points and delivery milestones set by the Lead Architects. Working collaboratively with architects, engineers, operations, delivery teams, client stakeholders and third parties to gather information, validate findings and resolve gaps. Identifying incomplete analysis, weak assumptions, unclear decisions or documentation gaps and raising them early for resolution. Communicating findings in plain English, with clear evidence, assumptions, risks and recommended next steps. Maintaining pace and quality where documentation gaps, Legacy complexity or changing priorities create ambiguity. Use of AI and Automation The role should use AI and automation to improve the speed, consistency and quality of discovery, documentation and analysis. AI should be used as an accelerator, with outputs checked before they are used to support architecture decisions or delivery artefacts. Expected uses include: Accelerating analysis of Legacy code, configuration, metadata, schedules, schemas, interface definitions and existing documentation. Supporting feed documentation, dependency mapping, option development, risk identification and production of architecture artefacts. Reusing agreed prompts, templates, patterns and review checklists provided by Lead Architects or the wider DWIT architecture team. Checking, refining and evidencing AI-generated outputs before they are shared for review or used in architecture artefacts.
About Vantage Data CentersVantage Data Centers powers, cools, protects and connects the technology of the world's well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.Physical Security DepartmentThe Security Department for Vantage Data Centers is very hands-on. In most cases, we specify, purchase, configure and maintain all physical security networking, software, and server hardware. We also work closely with partner VARs to learn about the latest technology changes so that we can make informed purchase decisions. We are always looking for ways to strike the best balance between technology, performance, and cost. Vantage Global Physical & Informational Security Department also participates in designing each of our new data center building's security infrastructure. If you like getting into the details and helping to design, build and maintain Security infrastructure in a modern data center, then come work at Vantage. We're expanding with many new builds!Position OverviewThe physical Security team is looking for a forward-thinking, results-oriented, innovative Manager, Physical Security with the ability to develop, execute and oversee data center (DC) security operations and programs, globally. As the Principal Manager, Physical Security, you will be expected to create and verify compliance with security procedures, training, standards, and policies, while optimizing the effectiveness and efficiency of physical security at our facilities. You will champion new initiatives for the physical security team and oversee planning processes and delegations across multiple business partner teams. You will contribute and help drive the development of long-term corporate strategy and goals. You will partner with the Design and Engineering Team, Site Operations, and Construction Managers.Essential Job FunctionsEnforce Vantage Physical Security Global Procedures that encompass all aspects of Datacentre Physical Security, including design, construction, testing, daily operation, and maintenance.Implement a complete staffing plan that covers hiring, training, oversight, and complianceLead a multi-site team of Supervisors and Security Officers.Manage all aspects of customer safety requirements across all campuses, including the Physical Security interface.Desirable Job Experience / QualificationsData Center or CNI Physical Security Operations experienceCSMP/CPP/PSP qualifications or the willingness to acquireDutiesManage Physical Security vendors for staffing, supervision, and oversightCollaborate with internal and external teams for design and construction at each data center campus. Team with Operations to ensure compliance with all aspects of customer requirements.Work with finance and construction to ensure continual cost efficiencies across multiple sites. You will develop and maintain metrics that track effectiveness and improvements in your department in the areas of builds and budgets (both O&M/Capex).Coordinate with Site Operations for all daily activities to ensure a safe and secure environment for employees and customers.Create a training program for security staff, as well as internal employees and customers (as required).Examine all areas of department performance by working with the Performance Improvement/Optimization team.Continually set increased performance goals by looking at industry best practices and creating an internal improvement programDevelop standards and a program for employee and contractor background checks and manage the programJob RequirementsBachelor's degree or equivalent in a related field; 8 years of progressively responsible experience, in leading large, global security programs may be substituted in lieu of a degreeProven leadership skills and strong business acumenPhysical security operations experienceExperience and knowledge of secure rooms, physical security requirements, CCTV, multi-factor authentication, and biometrics.Experience & participation in applicable areas and related policies for safety and BCDRHands-on experience with background checks and badging requirementsExperience creating and implementing global standards for securityMust have a multi-disciplinary security background with knowledge in several areas including developing and implementing layered security architecture; risk and vulnerability assessments, compliance to implement information security related standards and initiativesWorking knowledge of system auditing concepts including regular reporting for compliance, the efficiency of security systems (Genetec, Service Now, cameras, door alarms, badge readers etc.)Must have strong organisation awareness and result oriented mindset to deliver prompt, efficient, quality service to our customers and business partnersPrior leadership experience with a concentration on physical securityOwnership and program management of technology security solutionsExcellent verbal and written communication skillsAbility to handle multiple competing priorities in a fast-paced environmentTravel is expected to be 25% (domestic and international), but may increase over time as the business evolves.This position requires and onsite presence split between our Data Centre in North West London and our EMEA Corporate Head Office, also in London. Any remote work would be at the discretion of the Line Manager.We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other's strengths and respecting each other's weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.Vantage Data Centers is an Equal Opportunity EmployerVantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.
27/07/2026
Full time
About Vantage Data CentersVantage Data Centers powers, cools, protects and connects the technology of the world's well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.Physical Security DepartmentThe Security Department for Vantage Data Centers is very hands-on. In most cases, we specify, purchase, configure and maintain all physical security networking, software, and server hardware. We also work closely with partner VARs to learn about the latest technology changes so that we can make informed purchase decisions. We are always looking for ways to strike the best balance between technology, performance, and cost. Vantage Global Physical & Informational Security Department also participates in designing each of our new data center building's security infrastructure. If you like getting into the details and helping to design, build and maintain Security infrastructure in a modern data center, then come work at Vantage. We're expanding with many new builds!Position OverviewThe physical Security team is looking for a forward-thinking, results-oriented, innovative Manager, Physical Security with the ability to develop, execute and oversee data center (DC) security operations and programs, globally. As the Principal Manager, Physical Security, you will be expected to create and verify compliance with security procedures, training, standards, and policies, while optimizing the effectiveness and efficiency of physical security at our facilities. You will champion new initiatives for the physical security team and oversee planning processes and delegations across multiple business partner teams. You will contribute and help drive the development of long-term corporate strategy and goals. You will partner with the Design and Engineering Team, Site Operations, and Construction Managers.Essential Job FunctionsEnforce Vantage Physical Security Global Procedures that encompass all aspects of Datacentre Physical Security, including design, construction, testing, daily operation, and maintenance.Implement a complete staffing plan that covers hiring, training, oversight, and complianceLead a multi-site team of Supervisors and Security Officers.Manage all aspects of customer safety requirements across all campuses, including the Physical Security interface.Desirable Job Experience / QualificationsData Center or CNI Physical Security Operations experienceCSMP/CPP/PSP qualifications or the willingness to acquireDutiesManage Physical Security vendors for staffing, supervision, and oversightCollaborate with internal and external teams for design and construction at each data center campus. Team with Operations to ensure compliance with all aspects of customer requirements.Work with finance and construction to ensure continual cost efficiencies across multiple sites. You will develop and maintain metrics that track effectiveness and improvements in your department in the areas of builds and budgets (both O&M/Capex).Coordinate with Site Operations for all daily activities to ensure a safe and secure environment for employees and customers.Create a training program for security staff, as well as internal employees and customers (as required).Examine all areas of department performance by working with the Performance Improvement/Optimization team.Continually set increased performance goals by looking at industry best practices and creating an internal improvement programDevelop standards and a program for employee and contractor background checks and manage the programJob RequirementsBachelor's degree or equivalent in a related field; 8 years of progressively responsible experience, in leading large, global security programs may be substituted in lieu of a degreeProven leadership skills and strong business acumenPhysical security operations experienceExperience and knowledge of secure rooms, physical security requirements, CCTV, multi-factor authentication, and biometrics.Experience & participation in applicable areas and related policies for safety and BCDRHands-on experience with background checks and badging requirementsExperience creating and implementing global standards for securityMust have a multi-disciplinary security background with knowledge in several areas including developing and implementing layered security architecture; risk and vulnerability assessments, compliance to implement information security related standards and initiativesWorking knowledge of system auditing concepts including regular reporting for compliance, the efficiency of security systems (Genetec, Service Now, cameras, door alarms, badge readers etc.)Must have strong organisation awareness and result oriented mindset to deliver prompt, efficient, quality service to our customers and business partnersPrior leadership experience with a concentration on physical securityOwnership and program management of technology security solutionsExcellent verbal and written communication skillsAbility to handle multiple competing priorities in a fast-paced environmentTravel is expected to be 25% (domestic and international), but may increase over time as the business evolves.This position requires and onsite presence split between our Data Centre in North West London and our EMEA Corporate Head Office, also in London. Any remote work would be at the discretion of the Line Manager.We operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other's strengths and respecting each other's weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.Vantage Data Centers is an Equal Opportunity EmployerVantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.
Lead AI Engineer (Principal Consultant) Location: London (Hybrid) | Practice Area : Technology & Engineering Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We're looking for a Lead AI Engineer (Principal Consultant) to join our Technology Delivery Team. You'll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you'll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration. What You'll Do Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video) Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption What We're Looking For Bachelor's degree or higher in Computer Science, AI, or related STEM fields Hands-on experience deploying LLMs and multi-modal models at scale Strong engineering background in Python with proven Back End and API development skills Solid understanding of scalable MLOps, observability, and cloud-native AI deployment Excellent communication, problem-solving, and project management skills in agile environments Bonus Points For Experience with agentic frameworks (eg, LangChain, LlamaIndex) Experience in deep learning frameworks and Front End development Familiarity with Langfuse, Langsmith, or other LLM observability tools Understanding of Model Context Protocol and bias/hallucination mitigation techniques Previous success in integrating GenAI solutions into enterprise-scale systems 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 We offer a competitive, people-first benefits package designed to support every aspect of your life: 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.
27/07/2026
Full time
Lead AI Engineer (Principal Consultant) Location: London (Hybrid) | Practice Area : Technology & Engineering Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We're looking for a Lead AI Engineer (Principal Consultant) to join our Technology Delivery Team. You'll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you'll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration. What You'll Do Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video) Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption What We're Looking For Bachelor's degree or higher in Computer Science, AI, or related STEM fields Hands-on experience deploying LLMs and multi-modal models at scale Strong engineering background in Python with proven Back End and API development skills Solid understanding of scalable MLOps, observability, and cloud-native AI deployment Excellent communication, problem-solving, and project management skills in agile environments Bonus Points For Experience with agentic frameworks (eg, LangChain, LlamaIndex) Experience in deep learning frameworks and Front End development Familiarity with Langfuse, Langsmith, or other LLM observability tools Understanding of Model Context Protocol and bias/hallucination mitigation techniques Previous success in integrating GenAI solutions into enterprise-scale systems 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 We offer a competitive, people-first benefits package designed to support every aspect of your life: 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.
Job Summary Wellington IT is a leading provider of Credit Union software in Northern Ireland and Ireland, delivering fintech solutions that power savings, loans, online banking, and more. As part of Volaris, we focus on growth and continuous improvement. Position Overview Technical Lead - responsible for driving technical excellence, leading AI assisted development, and guiding a delivery team toward pod based models. Key Responsibilities Lead technical direction for the delivery team, championing AI assisted workflows and spec driven approaches. Guide engineers in leveraging AI coding assistants such as GitHub Copilot, Amazon Q Developer, Cursor, and others to improve productivity and code quality. Establish standards and best practices for AI native development, including prompt engineering, code generation review, and QA. Keep up with industry best practices in fintech and AI, assessing technology choices for impact on the team. Provide hands on technical contributions while balancing leadership duties. Line manage 4-5 engineers - conduct 1:1s, give performance feedback, and support career development. Mentor engineers using coaching to foster solutions, identify improvement areas, and maintain team morale. Drive adoption of pod based delivery practices and collaborate with Product Owners and Scrum Masters to keep the team aligned with company goals. Prioritise work, balance feature delivery with technical debt and support, and ensure sustainable pace. Communicate project status, blockers, and delivery estimates to stakeholders, translating technical impact into business value. Qualifications Proven experience as a Technical Lead or Senior Software Engineer with leadership responsibilities. Hands on technical skills across fintech/banking technologies. Experience with AI coding assistants (GitHub Copilot, Amazon Q, Cursor, etc.) in production. Track record of implementing spec driven development and AI assisted workflows. Experience mentoring and coaching engineers. Agile/scrum delivery experience with Product Owners and stakeholders. Strong communication skills - able to explain complex concepts to non technical audiences. Experience estimating and delivering work in iterative cycles. Problem solving, architectural thinking, and strong analytical skills. Desired Skills Oracle, Java/C#, or modern web stack familiarity. Background in financial services or regulated industries. CI/CD, DevOps, and modern tooling. Experience with pod based delivery models. Knowledge of agentic AI frameworks (LangChain, LangGraph, AutoGen) and prompt engineering. Cloud platform experience (AWS or Azure) and modern application architectures. Benefits Competitive base salary and bonus scheme. Annual leave (36 days + birthday off). Training and development. Market leading pension (15% matched). Private healthcare (AXA, UK). Enhanced maternity leave. Remote/hybrid work flexibility, flexible start and finish times. Family related benefits and wellness initiatives. EEO Statement Wellington IT is an equal opportunity employer. We do not discriminate on the basis of age, race, color, creed, national origin, gender, gender identity, gender expression, disability, marital status, veteran status, citizenship, ethnicity, familial status, religion, sexual orientation, or any other protected class.
27/07/2026
Full time
Job Summary Wellington IT is a leading provider of Credit Union software in Northern Ireland and Ireland, delivering fintech solutions that power savings, loans, online banking, and more. As part of Volaris, we focus on growth and continuous improvement. Position Overview Technical Lead - responsible for driving technical excellence, leading AI assisted development, and guiding a delivery team toward pod based models. Key Responsibilities Lead technical direction for the delivery team, championing AI assisted workflows and spec driven approaches. Guide engineers in leveraging AI coding assistants such as GitHub Copilot, Amazon Q Developer, Cursor, and others to improve productivity and code quality. Establish standards and best practices for AI native development, including prompt engineering, code generation review, and QA. Keep up with industry best practices in fintech and AI, assessing technology choices for impact on the team. Provide hands on technical contributions while balancing leadership duties. Line manage 4-5 engineers - conduct 1:1s, give performance feedback, and support career development. Mentor engineers using coaching to foster solutions, identify improvement areas, and maintain team morale. Drive adoption of pod based delivery practices and collaborate with Product Owners and Scrum Masters to keep the team aligned with company goals. Prioritise work, balance feature delivery with technical debt and support, and ensure sustainable pace. Communicate project status, blockers, and delivery estimates to stakeholders, translating technical impact into business value. Qualifications Proven experience as a Technical Lead or Senior Software Engineer with leadership responsibilities. Hands on technical skills across fintech/banking technologies. Experience with AI coding assistants (GitHub Copilot, Amazon Q, Cursor, etc.) in production. Track record of implementing spec driven development and AI assisted workflows. Experience mentoring and coaching engineers. Agile/scrum delivery experience with Product Owners and stakeholders. Strong communication skills - able to explain complex concepts to non technical audiences. Experience estimating and delivering work in iterative cycles. Problem solving, architectural thinking, and strong analytical skills. Desired Skills Oracle, Java/C#, or modern web stack familiarity. Background in financial services or regulated industries. CI/CD, DevOps, and modern tooling. Experience with pod based delivery models. Knowledge of agentic AI frameworks (LangChain, LangGraph, AutoGen) and prompt engineering. Cloud platform experience (AWS or Azure) and modern application architectures. Benefits Competitive base salary and bonus scheme. Annual leave (36 days + birthday off). Training and development. Market leading pension (15% matched). Private healthcare (AXA, UK). Enhanced maternity leave. Remote/hybrid work flexibility, flexible start and finish times. Family related benefits and wellness initiatives. EEO Statement Wellington IT is an equal opportunity employer. We do not discriminate on the basis of age, race, color, creed, national origin, gender, gender identity, gender expression, disability, marital status, veteran status, citizenship, ethnicity, familial status, religion, sexual orientation, or any other protected class.
Job Title: DEVELOPER L4(CONTRACT) City: London State/Province: London Job Description The role involves designing, testing, and maintaining software programs for operating systems or applications, ensuring 100% quality assurance parameters before deployment at client sites. Role Purpose To deliver reliable software solutions that meet client requirements and operate at peak performance. Responsibilities Understand product requirements and design. Develop software solutions by studying information needs, system flow, data usage, and work processes. Investigate problem areas and facilitate root cause analysis. Identify ideas to improve system performance and availability. Convert client requirements to feasible design and collaborate with functional teams or systems analysts. Perform coding and ensure optimal software/module development. Evaluate operational feasibility, develop and automate validation processes, modify code to fix errors, and ensure bug free releases. Prepare documentation, reports, and coordinate daily project status. Provide feedback on usability and trace results to quality risk. Maintain status reporting and customer focus. Capture requirements and clarifications, gather feedback to ensure on time delivery, participate in continuing education, consult with engineering staff on interfaces, document and demonstrate solutions, and respond to customer requests promptly with excellent communication. Deliverables Continuous Integration, Deployment & Monitoring: 100% error free onboarding & implementation, throughput, adherence to schedule/release plan. Quality & CSAT: On time delivery, software management, troubleshooting queries, customer experience, completion of assigned certifications. MIS & Reporting: 100% on time MIS & report generation. Mandatory Skills: Cloud App Dev Consulting
27/07/2026
Full time
Job Title: DEVELOPER L4(CONTRACT) City: London State/Province: London Job Description The role involves designing, testing, and maintaining software programs for operating systems or applications, ensuring 100% quality assurance parameters before deployment at client sites. Role Purpose To deliver reliable software solutions that meet client requirements and operate at peak performance. Responsibilities Understand product requirements and design. Develop software solutions by studying information needs, system flow, data usage, and work processes. Investigate problem areas and facilitate root cause analysis. Identify ideas to improve system performance and availability. Convert client requirements to feasible design and collaborate with functional teams or systems analysts. Perform coding and ensure optimal software/module development. Evaluate operational feasibility, develop and automate validation processes, modify code to fix errors, and ensure bug free releases. Prepare documentation, reports, and coordinate daily project status. Provide feedback on usability and trace results to quality risk. Maintain status reporting and customer focus. Capture requirements and clarifications, gather feedback to ensure on time delivery, participate in continuing education, consult with engineering staff on interfaces, document and demonstrate solutions, and respond to customer requests promptly with excellent communication. Deliverables Continuous Integration, Deployment & Monitoring: 100% error free onboarding & implementation, throughput, adherence to schedule/release plan. Quality & CSAT: On time delivery, software management, troubleshooting queries, customer experience, completion of assigned certifications. MIS & Reporting: 100% on time MIS & report generation. Mandatory Skills: Cloud App Dev Consulting
