GEN AI Solution Architect

Your Role:

• Defining and evolving the enterprise GenAI and broader AI architecture roadmap aligned with AXAs data and digital strategy.
• Leading the architectural design of an enterprise AI Trust and Controls layer to manage AI Trust risks such as data risks (e.g., toxicity, sensitive data leakage), prompting risks (e.g., prompt injection, jail breaking), application and security risks (e.g., insecure output handling, poisoned model usage).
• Innovating and reimagining business processes to take competitive advantage via the use of AI.
• Leading the design of enterprise solutions that embed LLMs, GenAI and agentic automation into business workflows.
• Ability to liaise with integration teams to support design and delivery end‑to‑end across structured and unstructured data sources and platforms such as Databricks, Microsoft 365, SharePoint, Salesforce, Guidewire, Service Now, Workday, etc.
• Providing technical leadership and guidance for pilot and solution delivery teams building reference implementations and scaling successful patterns.
• Partnering with security platform and engineering teams to enable LLMOps and Agentic Ops capabilities (prompt lifecycle management, model observability, caching, evaluation and governance).

• Strong understanding of AI Gov Ops and AI Observability market landscape, including solutions frameworks, libraries and architectural approaches to implementation of preventative, detective and corrective AI risk control.
• Working knowledge of AI governance frameworks such as ISO/IEC 42001, NIST AI RMF or EU AI Act and an understanding of responsible AI frameworks and ethical principles for design.
• Strong solution‑architecture experience in enterprise environments ideally spanning cloud data, API integration and business applications.
• Experience designing and/or integrating AI‑powered systems into operational workflows including intelligent assistants, generative search, intelligent summarisation, automation platforms or AI‑enabled UIs.
• Knowledge of GenAI models and GenAI application patterns including retrieval‑augmented generation (RAG) and agent‑based architectures and orchestration frameworks.
• Experience with messaging technologies, event‑mesh concepts and API‑driven integration.
• Strong stakeholder‑engagement skills; ability to work across architecture, security, business, engineering and data teams to shape pragmatic, future‑facing AI solutions.

The 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.

Capgemini 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.

• Employee wellbeing: mental‑health champions, wellbeing apps such as Thrive and Peppy.
• Learning and development: training and development opportunities from think‑tanks to hackathons, access to 250,000 courses and external certifications (AWS, Microsoft, Harvard Manage Mentor, Cybersecurity, etc.).
• Ethical environment: working at an organization recognised as one of the World’s Most Ethical Companies for 13 consecutive years.