AI Knowledge Graph Lead

AI Knowledge Graph Lead

Remote

up to £150,000 base

We’re partnering with an AI-driven technology company looking to hire an AI Knowledge Graph/ Ontology Lead to build and scale the knowledge graph layer underpinning a new generation of intelligent enterprise products.

This is a senior, hands-on leadership role for someone who has real experience designing and shipping production knowledge graphs, not just conceptual ontology work.

You’ll be responsible for shaping a graph and ontology platform that powers:

• AI retrieval and RAG workflows

• Entity linkage and reasoning systems

• Cross-domain and temporal knowledge modeling

• Regulatory and compliance intelligence products

• Agentic AI applications

The role combines architecture, hands-on engineering, and team leadership. You’ll work closely with AI/ML engineers to turn complex, unstructured information into structured, queryable intelligence that directly feeds live AI systems.

Key experience includes:

• Strong Neo4j and Cypher expertise in production environments

• Deep ontology / taxonomy modeling experience

• Python engineering skills

• Knowledge graph integration with LLMs, RAG, or vector search systems

• Experience balancing formal semantics with pragmatic implementation

• Ability to lead technically while remaining hands-on

Additional experience in areas such as RDF/OWL, inference engines, entity resolution, legal/regulatory data, ESG, healthcare, or pharmaceutical domains would be highly valuable.

The company offers:

• A highly technical AI environment

• Significant ownership and architectural influence

• Fast decision-making and direct access to leadership

• Strong adoption of AI-assisted development tooling

• Flexible working arrangements and competitive compensation

Ideal for someone excited by the challenge of building the intelligence layer behind complex AI products at scale.

Please apply for more details