Associate Director, Semantic & Knowledge Engineering (2 Openings)

What you'll do

• Design and maintain enterprise ontologies, taxonomies, business vocabularies, and semantic models; build knowledge graphs, metadata services, and semantic APIs.
• Partner with product, AI, analytics, and platform teams to embed semantic capabilities in workflows and support RAG, agentic AI, search, and reasoning initiatives.
• Implement metadata governance and quality controls, evaluate semantic technologies, mentor engineers, and communicate technical guidance and trade-offs.

What they ask for

• Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline.
• 6+ years of progressive experience in semantic technologies, knowledge engineering, metadata management, data/information architecture, data product engineering, or AI-enabling data platforms.
• Hands-on experience with semantic assets and technologies, including ontologies, RDF/OWL, SKOS, SPARQL, graph databases, knowledge graphs, metadata catalogs, and semantic APIs/services.
• Experience building AI-enabling semantic assets and working knowledge of governance, stewardship, provenance, quality, security, lifecycle management, privacy, and compliance.

Nice to have

• Experience in pharmaceutical, healthcare, life sciences, commercial, clinical, medical, real-world data, or another regulated data environment.
• Experience with generative or agentic AI, LLM-powered products, RAG/GraphRAG, vector databases, or cloud-based data and AI ecosystems.

Pay

$176,400.00 - $327,600.00 USD per year (base salary)

Tools

RDF/OWL, SKOS, SPARQL, graph databases, knowledge graphs, semantic APIs/services, RAG/GraphRAG, vector databases

AI focus

Builds semantic foundations for AI grounding, RAG/GraphRAG, agentic AI, LLM-powered products, contextual and enterprise search, and reasoning engines.