Knowledge Engineer
Core
Design and build enterprise ontologies and knowledge graphs to enable AI systems to reason across commercial data domains.
Role type
Knowledge Engineer (Semantic Web & Knowledge Graphs)
Builds
Enterprise ontologies, taxonomies, and machine-readable knowledge representations
Domain
Life Sciences / Semantic Web / Knowledge Engineering
Deliverable
production ML models | product features
Required skills
Ontology and taxonomy modeling, Formal representation languages (RDF, OWL, SKOS), Graph database management, SPARQL querying, Domain logic elicitation, Semantic web standards
Preferred skills
Experience with Stardog or AWS Neptune, Regulatory data governance knowledge, Cross-functional stakeholder collaboration
Technologies
RDF, OWL, SKOS, Stardog, AWS Neptune, SPARQL
Responsibilities
Develop entity hierarchies, relationship types, and inference rules; Translate business definitions into machine-readable structures; Collaborate with SMEs to capture domain logic; Maintain semantic boundaries between ontology and data models; Align assets with governance guidelines; Ensure knowledge structures support downstream AI and analytics use cases
Seniority
Mid-level, hands-on IC
