Strategic AI Enterprise Architect: Generative & Agentic AI

Capgemini; Greater London; On-site; GBP 150,000 - 210,000; Full time

Benefits offered by this job

Disability Confident Employer

Great Place to Work for Wellbeing 2024

Job summary

Capgemini seeks an Executive Enterprise Architect - AI & Agentic AI to define the enterprise AI strategy and governance. You will lead architecture standards, scalable AI platforms, and agent frameworks across cloud environments, driving large-scale AI transformation with MLOps, LLMOps, and platform engineering.

You will mentor architecture teams, engage senior executives, and ensure AI investments align with business outcomes and regulatory requirements across Azure, AWS, and GCP.

Qualifications

• 20+ years in Enterprise Architecture with AI-led digital transformation.
• Deep expertise in Generative AI, Agentic AI, and governance.
• Hands-on with major cloud AI platforms and multi-agent systems.

Responsibilities

• Define and drive enterprise AI architecture strategy aligned to business goals.
• Establish standards, reference architectures, and governance for AI platforms.
• Lead scalable, secure cloud-native AI platforms and agent frameworks.
• Drive AI transformation via MLOps, LLMOps, and platform engineering.
• Mentor teams and represent Capgemini in executive forums.

Skills

Enterprise AI

AI strategy

Governance

Multi-agent systems

LLM integration

LangChain/LangGraph

MLOps/LLMOps

Platform engineering

Security & regulatory

Executive stakeholder mgmt

Tools

OpenAI

Azure OpenAI

AWS Bedrock

Google Cloud ADK

Claude / Gemini / Llama

Job description

Capgemini seeks an Executive Enterprise Architect - AI & Agentic AI to define the enterprise AI strategy and governance. You will lead architecture standards, scalable AI platforms, and agent frameworks across cloud environments, driving large-scale AI transformation with MLOps, LLMOps, and platform engineering.

You will mentor architecture teams, engage senior executives, and ensure AI investments align with business outcomes and regulatory requirements across Azure, AWS, and GCP.