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Capgemini

Global consulting, technology services, outsourcing

Enterprise Architect - AI & Agentic AI

AI & Machine LearningUpdated on Nov 14
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • 20+ years of IT experience, with a proven track record in enterprise architecture, AI-led digital transformation, technology strategy development, and architecture governance within large-scale enterprise environments.
  • Deep expertise in enterprise AI, generative AI, and agentic AI architectures, including multi-agent systems, reasoning frameworks, agent orchestration, Retrieval-Augmented Generation (RAG), knowledge engineering, AI platforms, foundation models, and LLM integration strategies.
  • Hands-on experience with OpenAI, Azure OpenAI, AWS Bedrock, Google Cloud ADK, Claude, Gemini, Llama, LangChain, LangGraph, and agentic AI ecosystems, with demonstrated success delivering enterprise-scale AI solutions.
  • Strong expertise in cloud-native architecture and AI platform engineering across Azure, AWS, and GCP, including MLOps, LLMOps, CI/CD, observability, monitoring, model lifecycle management, enterprise data architecture, and AI integration patterns.
  • Proven experience establishing AI governance, Responsible AI, cybersecurity, privacy, regulatory compliance, and risk management frameworks; influencing senior executives; leading cross-functional teams; and driving enterprise-wide AI adoption and business transformation.
  • Successful appointment requires completing Baseline Personnel Security Standard checks.

Responsibilities

  • Define and drive enterprise AI architecture strategy, aligning it with business objectives, digital transformation priorities, and technology roadmaps, while advising senior leadership.
  • Establish and govern enterprise-wide AI, generative AI, and agentic AI standards, reference architectures, operating models, and governance frameworks, ensuring compliance with security, privacy, regulatory, and Responsible AI requirements.
  • Lead the design, implementation, and evolution of scalable, secure, cloud-native AI platforms, reusable assets, agent frameworks, and enterprise accelerators to maximize adoption and business value.
  • Drive large-scale AI transformation and industrialization initiatives through MLOps, LLMOps, platform engineering, automation, and modern cloud technologies across Azure, AWS, and GCP.
  • Evaluate emerging AI technologies and industry trends.
  • Mentor architecture and engineering teams.
  • Represent Capgemini in executive forums, client engagements, and thought leadership initiatives.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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