Knowledge Engineer
Core
Own ontology and semantic strategy across engagements, setting standards for knowledge engineering and assuring semantic layers that ground enterprise AI.
Role type
Senior Knowledge Engineer (Ontology & Semantic Strategy)
Builds
Enterprise ontologies, taxonomies, knowledge graphs, and semantic models for AI systems.
Domain
Data & AI, Knowledge Engineering, Semantic Web
Deliverable
production ML models | product features
Required skills
Ontology engineering (OWL, RDFS, SHACL), SPARQL, Graph databases (Neo4j, Amazon Neptune, Stardog), Semantic tooling (Protégé, TopBraid), Entity resolution, Semantic search, RAG pipelines, Linked data principles, Data mesh/federated governance.
Preferred skills
Industry ontologies (FIBO, BIAN, GS1, TM Forum), Property graph modelling, LLM grounding techniques, Financial Services/Government/Health/Energy/Utilities sector experience.
Technologies
Neo4j, Amazon Neptune, Stardog, GraphDB, Protégé, TopBraid Composer, RDF, OWL, SHACL, SPARQL, W3C standards.
Responsibilities
Define and govern enterprise ontologies and knowledge graphs; Design semantic models using RDF/OWL and property graph approaches; Engage business SMEs to formalize implicit rules into explicit structures; Enable AI/ML applications via knowledge graph enrichment and ontology-powered RAG; Enforce semantic modelling standards and naming conventions.
Seniority
Senior, hands-on IC
