Lead AI Engineer at Capgemini

Designing and operationalizing advanced AI/ML systems at enterprise scale.

Key Responsibilities

Delivering end-to-end AI/ML systems from data preparation and model development to deployment

Delivering solutions using GenAI frameworks like ADK, LangGraph, Microsoft Agent Framework, LlamaIndex

Leading multidisciplinary teams on complex requirements

Translating use case requirements into cloud-based data and AI architectures

Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows

Embedding safety and evaluation mechanisms across the AI lifecycle

Required Experience

Major consulting firm or industry experience with consulting mindset

MLOps strategy design and implementation at scale

Deep knowledge of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses

Cloud-native architecture expertise (Azure, GCP, AWS, Databricks)

ML pipeline automation tools (MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow)

GenAI frameworks: LangChain, LlamaIndex, CrewAI, Autogen, Google ADK

RAG implementation and LLM APIs (OpenAI, Anthropic, Hugging Face)

CI/CD (GitHub Actions, Azure DevOps, Docker, Kubernetes)

Eligibility: Must have resided in the UK for the last 5 years.

Locations: Birmingham, Bristol, Newcastle, Manchester, London (UK).

Benefits: Hybrid work, flexible benefits, mental health support, wellness apps.

Posted: March 4, 2026.