Senior Semantic Data & Knowledge Engineer
Core
Designing, implementing, and maintaining enterprise knowledge structures, ontologies, semantic assets, metadata frameworks, knowledge graphs, and business glossaries to support Analytics, AI, GenAI, Semantic Search, and Agentic AI use cases.
Role type
Senior IC semantic data & knowledge engineer
Builds
Enterprise knowledge graphs, semantic repositories, ontologies, taxonomies, and AI-ready semantic structures for P&O and Corporate Functions.
Domain
Enterprise Knowledge Management, Semantic Technologies, AI/GenAI, Data Governance
Deliverable
production ML models
Required skills
Ontology development, Taxonomy design, Knowledge graph construction, Metadata management, Semantic search, RAG/GraphRAG, Vector databases, AWS Data Platforms
Preferred skills
Microsoft Fabric, Amazon Neptune, Collibra, Semantic layer technologies, Enterprise search, API and integration technologies, People & Organization domain knowledge, Corporate Functions domain knowledge
Technologies
AWS, Amazon Neptune, Collibra, Microsoft Fabric
Responsibilities
Develop and maintain ontologies, taxonomies, semantic models, and business glossaries; Support metadata onboarding, stewardship, governance, and quality initiatives; Configure and maintain semantic models and business mappings; Support semantic search and enterprise knowledge discovery initiatives; Support implementation of RAG and GraphRAG architectures; Work closely with business SMEs to model business knowledge across P&O, Legal, Security, ESG, and other domains.
Seniority
Senior, hands-on IC
