{"id":1805859,"url":"https://alion.io/job/capgemini-senior-ai-engineer-4","title":"Senior AI Engineer","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":75,"open_postings":932,"ghost_share":0,"stale_share":0.996,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-06T05:45:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":169000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Mistral","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-09-24T08:32:47Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-06T23:51:23Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Job Title:Senior AI Engineer\nLocation: London\nAbout the Job you are considering:\nJoin the AI Engineering Team within the Digital Delivery pillar of EMEA Corporate Technology AMD, responsible for delivering innovative AI-powered solutions across the organization. The team designs, develops, and supports enterprise-grade AI applications, including Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions.\nHybrid working:\nThe places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.\nKey Responsibilities and Experiences\nCollaborate with Digital Transformation (DXT) teams and business stakeholders to understand business requirements, contribute to opportunity assessment and prioritization, and define measurable success criteria for AI initiatives. \nDesign, develop, and deliver scalable AI solutions, including Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI, and intelligent automation capabilities aligned to business objectives. \nEvaluate technology, model, and platform options, providing recommendations based on business value, cost, risk, strategic alignment, scalability, and long-term supportability. \nFollow Systems Development Lifecycle (SDLC) and governance processes, ensuring appropriate planning, documentation, testing, release management, risk mitigation, and stakeholder reporting. \nDrive adoption of engineering best practices, architectural standards, reusable frameworks, and quality controls to ensure secure, reliable, and maintainable AI solutions. \nPartner with architecture, engineering, security, and infrastructure teams to ensure AI solutions meet enterprise standards for performance, resilience, compliance, and operational excellence.\nRequired Skills\n10+ years of experience in technology delivery, software engineering, platform engineering, data science, machine learning, or AI solution development. \nMinimum 2+ years of hands-on experience designing and delivering custom Generative AI solutions on Microsoft Azure (preferred) or AWS. \nStrong experience building and operating production-grade Generative AI applications, including: \nRetrieval-Augmented Generation (RAG)\nAI Agents and Agentic Workflows\nPrompt Engineering and Prompt Optimization\nModel Evaluation and Observability Frameworks\nLLM Fine-tuning and Adaptation Techniques\nHands-on experience with Azure AI Foundry, Azure OpenAI Service, Model Context Protocol (MCP), and modern AI orchestration frameworks. \nStrong programming skills in Python, with experience developing scalable APIs, AI services, and automation solutions. \nExperience implementing vector search solutions using Vector Databases such as Azure AI Search, Pinecone, Weaviate, Chroma, Milvus, or similar technologies. \nExperience working with Large Language Models (LLMs) such as GPT, Llama, Claude, Mistral, or equivalent foundation models. \nStrong understanding of AI architecture patterns, including grounding, retrieval pipelines, context management, agent orchestration, guardrails, and responsible AI practices. \nExperience integrating AI solutions with enterprise systems, data platforms, APIs, and cloud-native services. \nKnowledge of MLOps, CI/CD, monitoring, model lifecycle management, and production support processes. \nFamiliarity with cloud security, governance, risk management, and compliance requirements for enterprise AI solutions. \nStrong stakeholder management, communication, and problem-solving skills, with the ability to translate business requirements into scalable technical solutions.\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. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:\nDeclare they have a disability, and \nMeet the minimum essential criteria for the role.\nPlease opt in during the application process.\nMake It Real (what does it mean for you):\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.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.\n\nYou will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.\nYou will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.\nWhy 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. So, it might not always be easy, but making the world a better place rarely is.\nAbout Capgemini:\nCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. 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