{"id":1805727,"url":"https://alion.io/job/capgemini-senior-ai-software-engineer-azure-cardiff","title":"Senior AI Software Engineer (Azure) - Cardiff","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1757,"ghost_share":0,"stale_share":0.784,"repost_share":0.003,"time_to_fill_p50_days":28,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cardiff, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":140000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":40},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GDPR","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Tool Use","optional":false},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-09-28T17:07:21Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-21T02:14:52Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Internal Information\nLocation: Cardiff\nGrade: C1/C2\nSC Clearance Eligibility required\nAbout the job you're considering\nYou 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.\nWe work across Retail, Utilities, Manufacturing, Transport, Health and the Public Sector, so you will pick up new domains quickly and often.\nA 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.\nA 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.\nAn 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.\n Your Role\nDelivery and technical leadership\nAct as a trusted technical voice for architects, product owners and client stakeholders, turning business problems into agentic AI solution designs.\nOwn solutions across the full lifecycle, from design through to production support.\nExplain technical trade-offs and AI risk and value clearly to non-technical stakeholders.\nReflect compliance and audit requirements in technical delivery decisions when working in regulated client environments.\nMentor and pair with less experienced colleagues.\nEngineering\nBuild 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.\nDevelop production-grade AI-enabled services and APIs in Python and C#/.NET, integrating agents and models with enterprise applications and data sources.\nApply prompt engineering, retrieval-augmented generation and agent orchestration patterns to build reliable, tool-using workflows.\nImplement guardrails, content safety, evaluation, monitoring and governance for generative and agentic solutions.\nIntegrate with Azure-native services (Functions, Container Apps, AKS, API Management) and CI/CD pipelines.\nSupport LLMOps practices: prompt and model versioning, automated evaluation, deployment pipelines and observability for AI workloads in production.\n Your Skills and Experience\nProduction experience building LLM-based applications on Azure that went live and that you then supported, rather than proofs of concept that stopped at demo.\nStrong production coding in Python and/or C#/.NET, including building and integrating APIs and backend services.\nPractical depth in retrieval-augmented generation: chunking and embedding strategy, retrieval tuning, and evaluating the groundedness and accuracy of outputs in a live system.\nClient-facing delivery experience, comfortable with ambiguity and shifting priorities, and able to explain technical trade-offs to people who are not engineers.\nWe 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.\nBreadth 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.\nJudgement on the model landscape: selecting between proprietary and open-weight models on cost, latency and quality, and revisiting that as the landscape shifts.\nMulti-agent systems and tool-calling and function-calling patterns.\nContainerisation and orchestration for AI workloads at scale (Docker, AKS).\nVector search at scale (Azure AI Search, Cosmos DB vector search).\nLLMOps and MLOps tooling and automated evaluation harnesses.\nData privacy, security and compliance for AI systems, including responsible AI standards and GDPR considerations.\nDelivery in regulated and high-governance environments.\nWe are a Disability Confident Employer\nCapgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme.\nAs part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:\n-Declare they have a disability, and\n-Meet the minimum essential criteria for the role.\nPlease opt in during the application process.\nYour security clearance and pre-employment checks\nTo be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.\nTo 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.\nThroughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.\nSome posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.\nMake it real - what does it mean for you?\nWe 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.\nYou’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.\nTo 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.\nYou 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.\n Why you should consider Capgemini\nGrowing 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. 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