Executive Enterprise AI Architect — Agentic AI Leader

Capgemini; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Capgemini IBO invites a seasoned Enterprise Architect to shape Capgemini's AI strategy, architecture, and transformation across the enterprise. You will define AI vision, set architecture standards, and enable large-scale adoption of ML, Generative AI, and Agentic AI solutions.

This executive role requires strategic leadership, governance expertise, and the ability to collaborate with senior leaders and technology teams to ensure AI investments deliver measurable business value.

Qualifications

• 20+ years of IT experience with enterprise architecture and AI-led transformations.
• Deep expertise in Enterprise AI, Generative AI, and Agentic AI architectures.
• Hands-on experience with OpenAI, Azure OpenAI, AWS Bedrock, and other AI tools.
• Strong cloud-native architecture and platform engineering across Azure, AWS, and GCP.
• Experience establishing AI governance, Responsible AI, and regulatory compliance.

Responsibilities

• Define and drive enterprise AI architecture strategy aligned with business objectives.
• Establish standards, reference architectures, and governance for AI programs.
• Lead scalable, secure, cloud-native AI platforms and agents.
• Oversee MLOps, LLMOps, and platform engineering initiatives.
• Represent Capgemini in executive forums and client engagements.

Skills

Enterprise AI

AI governance

Cloud platforms

Strategic leadership

Stakeholder management

Tools

OpenAI

Azure OpenAI

AWS Bedrock

Google Cloud

LangChain

LLM integration

Agentic AI

Job description

Capgemini IBO invites a seasoned Enterprise Architect to shape Capgemini's AI strategy, architecture, and transformation across the enterprise. You will define AI vision, set architecture standards, and enable large-scale adoption of ML, Generative AI, and Agentic AI solutions.

This executive role requires strategic leadership, governance expertise, and the ability to collaborate with senior leaders and technology teams to ensure AI investments deliver measurable business value.