Semantic AI Engineer
Core
Build and operationalize AI-driven semantic solutions that embed enterprise ontologies and semantic assets into Enterprise Product Master Data, Dataverse, and related platforms.
Role type
Senior IC Semantic AI Engineer
Builds
Enterprise Ontology Services (EOS), APIs, MCP tools, agents, and AI-enabled services
Domain
Life Sciences / Pharmaceutical / Semantic Web / GenAI
Deliverable
production ML models | product features
Required skills
Software engineering, Ontology engineering, Knowledge graph construction, Semantic standards (OWL, RDF, SPARQL), API design, Data integration, FAIR data principles, CI/CD practices
Preferred skills
GenAI technologies, MCP tools development, Agent tooling, Entity resolution, Query expansion
Technologies
Python, Pydantic, REST APIs, JSON, XML, OWL, RDF, SPARQL
Responsibilities
Design and build semantic solutions embedding ontologies into enterprise platforms; Engineer and translate ontologies into machine-consumable services and APIs; Enable semantic structures to drive inference, search, and data integration; Define implementation patterns embedding FAIR data principles; Collaborate with platform and governance teams to align semantic services with business requirements; Develop technical documentation and integration patterns.
Seniority
Senior, hands-on IC
