Senior AI Software Engineer (Azure)

Capgemini; Park Central; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Disability Confident Employer

Great Place to Work Wellbeing 2024

Applaud Peer Recognition

Job summary

Capgemini is seeking an experienced engineer to design, build and operate agentic AI applications on Microsoft Azure for clients across regulated sectors. You will lead delivery from design through production, mentoring peers and collaborating with architects, product owners and stakeholders.

The role involves delivering production-grade AI services, integrating with Azure Foundry, OpenAI, Azure AI Search and related services, and implementing guardrails, governance and data privacy controls in

Qualifications

• Production experience building LLM-based applications on Azure that went live and were supported, not just demos.
• Strong production coding in Python and/or C#/.NET, including API/backend service integration.
• Practical depth in retrieval-augmented generation: chunking, embedding, retrieval tuning, and evaluating groundedness.
• Client-facing delivery experience, able to explain trade-offs to non-engineers.
• Breadth across agent orchestration frameworks (Semantic Kernel, LangGraph, AutoGen).
• Judgement on model landscape: proprietary vs open-weight models considering cost, latency, quality.
• Multi-agent systems and tool-calling and function-calling patterns.
• Containerisation and orchestration for AI workloads at scale (Docker, AKS).
• Vector search at scale (Azure AI Search, Cosmos DB vector search).
• LLMOps and MLOps tooling and automated evaluation harnesses.
• Data privacy, security and compliance for AI systems, including GDPR considerations.
• Delivery in regulated and high-governance environments.

Responsibilities

• Deliver and provide technical leadership, turning business problems into agentic AI designs.
• Own solutions across the full lifecycle from design through production support.
• Explain technical trade-offs and AI risk and value to non-technical stakeholders.
• Mentor and pair with less experienced colleagues.
• Build and deploy agentic AI apps and multi-agent systems on Azure with Foundry and Microsoft AI Services.
• Develop production-grade AI-enabled services and APIs in Python and C#/.NET.
• Apply prompt engineering, retrieval-augmented generation and agent orchestration techniques.
• Implement guardrails, content safety, evaluation, monitoring and governance for outputs.
• Integrate with Azure-native services and CI/CD pipelines.
• Support LLMops practices: versioning, evaluation, deployment pipelines and observability.

Job description

Internal InformationLocation: UK WideGrade: C1/C2SC Clearance Eligibility requiredAbout the job you're consideringou will design, build and ship agentic AI applications on Microsoft Azure for clients in regulated and high-governance sectors. This is a hands-on engineering role in a product-aligned team: you will take a solution from first design through to live production, and then keep it running.We work across Retail, Utilities, Manufacturing, Transport, Health and the Public Sector, so you will pick up new domains quickly and often.A multi-agent case-handling assistant for a public sector client, retrieving from several legacy systems of record, with full audit trails and human-in-the-loop approval on every outbound decision.A document-intelligence pipeline for a utilities client that extracts structured data from tens of thousands of scanned engineering records, with automated groundedness and accuracy evaluation gating each release.An internal developer platform capability that lets a retail client's own engineers deploy evaluated, guardrailed agents against their product data without going through us each time.Your RoleDelivery and technical leadershipAct as a trusted technical voice for architects, product owners and client stakeholders, turning business problems into agentic AI solution designs.Own solutions across the full lifecycle, from design through to production support.Explain technical trade-offs and AI risk and value clearly to non-technical stakeholders.Reflect compliance and audit requirements in technical delivery decisions when working in regulated client environments.Mentor and pair with less experienced colleagues.EngineeringBuild and deploy agentic AI applications and multi-agent systems on Azure using Microsoft Foundry (formerly Azure AI Foundry) and the Azure AI Services portfolio, including Azure OpenAI, Azure AI Search and Azure AI Document Intelligence.Develop production-grade AI-enabled services and APIs in Python and C#/.NET, integrating agents and models with enterprise applications and data sources.Apply prompt engineering, retrieval-augmented generation and agent orchestration patterns to build reliable, tool-using workflows.Implement guardrails, content safety, evaluation, monitoring and governance for generative and agentic solutions.Integrate with Azure-native services (Functions, Container Apps, AKS, API Management) and CI/CD pipelines.Support LLMOps practices: prompt and model versioning, automated evaluation, deployment pipelines and observability for AI workloads in production.Your Skills and ExperienceProduction experience building LLM-based applications on Azure that went live and that you then supported, rather than proofs of concept that stopped at demo.Strong production coding in Python and/or C#/.NET, including building and integrating APIs and backend services.Practical depth in retrieval-augmented generation: chunking and embedding strategy, retrieval tuning, and evaluating the groundedness and accuracy of outputs in a live system.Client-facing delivery experience, comfortable with ambiguity and shifting priorities, and able to explain technical trade-offs to people who are not engineers.We use all of the following. You are not expected to arrive with them, and where you do not have them we will help you develop them.Breadth across agent orchestration frameworks (Semantic Kernel, LangGraph, AutoGen) so you can make an informed call on which fits a use case rather than defaulting to the one you know.Judgement on the model landscape: selecting between proprietary and open-weight models on cost, latency and quality, and revisiting that as the landscape shifts.Multi-agent systems and tool-calling and function-calling patterns.Containerisation and orchestration for AI workloads at scale (Docker, AKS).Vector search at scale (Azure AI Search, Cosmos DB vector search).LLMOps and MLOps tooling and automated evaluation harnesses.Data privacy, security and compliance for AI systems, including responsible AI standards and GDPR considerations.Delivery in regulated and high-governance environments.We are a Disability Confident EmployerCapgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme.As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:-Declare they have a disability, and-Meet the minimum essential criteria for the role.Please opt in during the application process.Your security clearance and pre-employment checksTo be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance .To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Make it real – what does it mean for you?We realise a Total Reward package should be more than just compensation. At Capgemini we offer range of core and flexible benefits and have a Peer Recognition Portal called Applaud.You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.You will reimagine what’s possible: creating value for the world’s leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK.Why you should consider CapgeminiGrowing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.