{"id":3185119,"url":"https://alion.io/job/capgemini-ai-lead-data-agentic-ai-foundations","title":"AI Lead - Data & Agentic AI Foundations","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":1822,"ghost_share":0.001,"stale_share":0.795,"repost_share":0.009,"time_to_fill_p50_days":28,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","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":92000,"max_usd":177000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"LLM","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-10-22T17:06:35Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-28T00:53:36Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Title: AI Lead - Data & Agentic AI Foundations\nLocation: London\n\nAbout the Job you are considering:\n we are seeking AI Lead - Data & Agentic AI Foundations who will provide both strategic direction and technical leadership to establish the critical data, knowledge, and technology foundations required to enable AI-powered underwriting, claims, pricing, and operational decision-making.\nThis role will bridge traditional enterprise data platforms and emerging AI ecosystems, including Agentic AI, Knowledge Graphs, Intelligent Automation, and AI-driven decision support. Working closely with Data, Architecture, Technology, and Business stakeholders, the successful candidate will define the target-state AI architecture, establish enterprise AI-ready data foundations, and drive the adoption of scalable AI capabilities across the organization.\nThe role requires a rare combination of strategic vision, enterprise architecture expertise, hands-on technical leadership, and insurance domain knowledge.\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.\nYour Role:\nAI Strategy & Transformation\nDefine and execute the enterprise roadmap toward becoming an AI-native insurance organization.\nDevelop long-term AI and data architecture strategies aligned with business objectives.\nPartner with the CDO, CIO, Data Engineering, Enterprise Architecture, and Underwriting leadership teams to prioritize AI investments and initiatives.\nCreate phased roadmaps covering near-term, medium-term, and future-state AI capabilities.\nIdentify opportunities where AI can improve underwriting effectiveness, claims efficiency, pricing sophistication, and operational productivity.\nEstablish governance frameworks supporting responsible and scalable AI adoption.\nAgentic AI Architecture & Foundations\nDesign and implement foundational capabilities enabling enterprise Agentic AI adoption.\nDefine standards for exposing business capabilities, enterprise applications, and data assets as reusable AI services and tools.\nEstablish agent orchestration patterns, tool integration standards, and autonomous workflow architectures.\nDevelop frameworks supporting AI agents, copilots, and intelligent assistants across business functions.\nEvaluate emerging AI technologies and agent frameworks to support enterprise-scale adoption.\nData as a Product Leadership\nChampion and institutionalize a Data as a Product operating model.\nDefine AI-ready data products across: Underwriting\nClaims\nPricing\nActuarial\nRisk Management\nOperational Decision Support\n\nEnsure data products are discoverable, reusable, governed, trusted, and consumable by AI applications and agents.\nDrive transition from traditional reporting-focused data usage toward operational and decision-centric AI use cases.\nPromote product thinking across data teams and business stakeholders.\nAI-Ready Data Platform Architecture\nAssess current Databricks and Enterprise Data Platform capabilities against AI requirements.\nDefine enhancements required to support: AI and GenAI workloads\nRetrieval-Augmented Generation (RAG)\nLarge Language Models (LLMs)\nAgentic workflows\nReal-time intelligence solutions\n\nDesign and implement operational data zones supporting: Real-time and near real-time data access\nAI inference workloads\nEvent-driven architectures\nIntelligent automation solutions\n\nEstablish approaches for exposing enterprise data through: APIs\nData Services\nSemantic Layers\nAI Interfaces\nKnowledge Platforms\n\nKnowledge Management & Semantic Architecture\nDefine enterprise strategies for managing structured and unstructured knowledge assets including: Underwriting Guidelines\nRisk Appetite Frameworks\nPolicy Documentation\nProduct Catalogues\nRegulatory Documentation\nClause Libraries\nCompliance Standards\n\nLead the design and implementation of enterprise Knowledge Graphs.\nEstablish semantic data models and contextual knowledge layers.\nBuild scalable knowledge foundations supporting AI applications and intelligent reasoning.\nEnsure trusted, governed, and auditable access to contextual business knowledge.\nYour Skills:\nEssential\n12+ years of experience in Enterprise Data, Data Architecture, AI, or Technology Leadership roles.\nProven experience developing enterprise AI and data strategies.\nExtensive experience designing large-scale data platforms and modern data architectures.\nStrong experience with Databricks, cloud data ecosystems, and lakehouse architectures.\nExperience implementing AI, GenAI, Machine Learning, or Agentic AI solutions in enterprise environments.\nStrong understanding of Knowledge Graphs, Semantic Technologies, Taxonomies, and Metadata Management.\nExperience designing API-driven and service-oriented architectures.\nExpertise in Data as a Product principles and operational data architectures.\nExperience leading enterprise transformation initiatives.\nStrong stakeholder management and executive communication skills.\nDeep understanding of AI delivery, governance, and adoption challenges.\nDesirable\nInsurance industry experience across Underwriting, Claims, Pricing, Risk, or Actuarial domains.\nExperience with Agentic AI platforms and orchestration frameworks.\nExperience implementing Enterprise Knowledge Graphs.\nFamiliarity with Vector Databases, RAG architectures, and LLM ecosystems.\nExperience with Azure AI, OpenAI, AWS AI, or Google AI platforms.\nKnowledge of event-driven architectures and real-time data platforms.\nExperience delivering AI-powered decision support systems.\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.\n\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 ManageMentor, 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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