Knowledge Graph Engineer / Ontologist
Core
Designing, implementing, and operationalizing enterprise semantic models, ontologies, and knowledge representations to provide meaning and context for AI-driven analytics and agentic systems.
Role type
Senior IC Knowledge Graph Engineer / Ontologist
Builds
Enterprise semantic layers, ontologies, context graphs, and knowledge graphs for Customer, Operations, and Enterprise domains
Domain
Insurance industry + Semantic Web / Knowledge Graphs / AI Enablement
Deliverable
production ML models
Required skills
RDF, OWL2, RDFS, SKOS, SPARQL, graph database technologies (Neo4j, Neptune, TigerGraph), LLM integration, RAG pipelines, semantic modeling, data governance, AWS, GCP, Snowflake
Preferred skills
Executive influence, thought leadership in Agentic analytics, strategy-to-scale execution
Technologies
Neo4j, Amazon Neptune, TigerGraph, Spanner Graph, AWS, GCP, Snowflake
Responsibilities
Lead design of enterprise-scale semantic layers; Define and operationalize ontologies and knowledge graphs; Enable semantic-first AI and Agentic analytics; Define canonical semantic vocabularies; Drive production-scale execution of semantic platforms; Partner with architects to embed semantic models into data products and AI pipelines
Seniority
Senior, hands-on IC
