Knowledge & Data Platform Lead — AI Graph & Retrieval (Hybrid)

Capgemini; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work model

Training opportunities

Wellbeing initiatives

Inclusive recruitment

Job summary

Capgemini London seeks a Knowledge & Data Platform Lead to build and maintain a production-grade knowledge graph supporting an AI-native product organization. You will implement ontology, schema, and entity resolution, and ensure secure access controls for regulated data.

You will oversee the retrieval stack, data pipelines, and governance across product lines, enabling robust AI agents with compliant memory management and performance evaluation.

Qualifications

• Production data engineering with Python and SQL.
• Knowledge of graph engineering, ontology modeling, and Neo4j.
• Entity resolution across disparate systems.
• Experience with AI retrieval systems, embeddings and vector stores.
• Handling regulated data including PII and PHI.
• Experience with AI coding assistants in daily workflow.
• Experience in financial crime, fraud detection, or payments graph work is a plus.
• Ability to evaluate retrieval performance and analytical data platform knowledge.

Responsibilities

• Develop and maintain the knowledge graph in production, including implementing the ontology, schema, and entity resolution.
• Create and optimize graph retrieval capabilities, focusing on traversal patterns and graph-augmented retrieval for AI agents.
• Oversee the end-to-end retrieval stack, including chunking, embedding strategies, hybrid search, and performance evaluation.
• Manage data pipelines from client systems, ensuring proper ingestion, mapping, quality checks, and monitoring.
• Maintain an immutable audit trail of system interactions and decisions, along with client-reporting surfaces.
• Implement permission-aware access controls to ensure secure data retrieval based on user identity.
• Govern data for agent memory, including episodic and precedent memory management.
• Establish data contracts between line pipelines and the shared retrieval plane to ensure consistent entity modeling across product lines.

Skills

Python

SQL

Pipeline Orchestration

Graph Engineering

Entity Resolution

Embeddings

Hybrid Search

PII/PHI Handling

AI Coding Assistants

Financial Crime

Tools

Neo4j

Vector Stores

Embedding Techniques

Job description

Capgemini London seeks a Knowledge & Data Platform Lead to build and maintain a production-grade knowledge graph supporting an AI-native product organization. You will implement ontology, schema, and entity resolution, and ensure secure access controls for regulated data.

You will oversee the retrieval stack, data pipelines, and governance across product lines, enabling robust AI agents with compliant memory management and performance evaluation.