AI Knowledge Graph Lead
Remote (USA)
up to $220,000 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
