Knowledge Engineering Manager / Senior Manager

What you'll do

• Lead ontology work for client engagements including schema and taxonomy design.
• Construct knowledge graphs using technologies like RDF, SPARQL, and property graphs.
• Implement retrieval-augmented generation (RAG) over large enterprise corpora.
• Engineer agent context to make knowledge consumable for AI models.
• Co-design ontologies with engineering teams to solve specific business problems.
• Manage workstreams or teams within larger consulting programs.
• Shape and define methodologies for knowledge engineering across multiple engagements.

What we're looking for

• Must have a Bachelor's degree, or an Associate's degree with at least 6 years of work experience, or 12 years of work experience without a degree.
• Must have at least 5 years of experience in knowledge engineering, semantic web, ontology design, or taxonomy/data modeling.
• Must have at least 1–2 years of hands-on experience with LLM-based systems.
• Must have at least 3 years of experience with knowledge graph technologies including RDF, SPARQL, property graphs, and/or SHACL.
• Must have experience with graph databases such as Neo4j, Amazon Neptune, or equivalent.
• Must have at least 1 year of experience with retrieval-augmented generation and agent context engineering in production or near-production contexts.
• Must have at least 2 years of experience leading a team or workstream within a larger program.
• Must have at least 5 years of experience working in agile engineering or consulting teams.
• Entity-resolution experience at enterprise scale (preferred).
• Experience co-designing ontologies with engineering teams mid-build (preferred).
• Vector-store fluency in Qdrant, Pinecone, or equivalent (preferred).