Associate Director, Semantic & Knowledge Engineering (2 Openings)
Core
Design, build, and govern enterprise semantic models, ontologies, taxonomies, knowledge graphs, and metadata services to enable AI, analytics, and enterprise search capabilities.
Role type
Senior IC semantic and knowledge engineering leader
Builds
Enterprise semantic models, ontologies, taxonomies, knowledge graphs, metadata services, and semantic APIs
Domain
Enterprise data architecture, AI/LLM enablement, knowledge engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Ontology design, knowledge graph engineering, metadata governance, semantic modeling, RAG/GraphRAG implementation, graph database management, semantic API development, data lineage tracking, technical mentorship
Preferred skills
Generative AI product experience, vector database integration, FAIR data principles, cloud-based semantic layer technologies, regulated industry domain knowledge
Technologies
RDF/OWL, SKOS, SPARQL, graph databases, semantic APIs, vector databases, LLM frameworks
Responsibilities
Design and maintain enterprise ontologies and taxonomies for consistent meaning across products; Build knowledge graphs and semantic APIs supporting AI and analytics; Implement metadata governance and lifecycle management for knowledge assets; Evaluate emerging semantic technologies and standards; Mentor semantic engineers and promote reusable engineering patterns
Seniority
Senior, hands-on IC with leadership responsibilities
