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Data & AI

Knowledge Graph Engineer

New York, NY / HybridFull-time$175k–$250k

Build and optimize enterprise knowledge graphs that connect data, people and systems.

About the role

The Enterprise Knowledge Graph is how AnatomicAI understands an organization, its people, projects, documents, processes, and events, all connected. You will design the models and pipelines that build and serve this graph at the scale of billions of entities and relationships.

What you'll do

  • Model entities and relationships spanning the whole enterprise.
  • Build ingestion and entity-resolution pipelines across many source systems.
  • Optimize graph queries and storage at billions of edges.
  • Expose the graph to the reasoning layer with fast, reliable APIs.
  • Ensure data quality, lineage, and governance across the graph.

What we're looking for

  • 5+ years in data or backend engineering.
  • Experience with graph databases (Neo4j or similar) or large-scale data modeling.
  • Strong SQL plus one of Python, Java, or Scala.
  • Experience building production data pipelines.

Nice to have

  • Knowledge representation, RDF, or ontologies.
  • Vector search and embeddings.
  • Entity resolution at scale.

What we offer

  • Competitive salary benchmarked to market
  • Remote-first culture with genuinely flexible hours
  • Top-tier hardware plus a home-office and learning budget
  • Comprehensive health, dental, and vision coverage
  • Generous PTO and paid parental leave
  • A mission that reshapes how enterprises operate

Apply for this role

Knowledge Graph Engineer · New York, NY / Hybrid

Applications are reviewed by our talent team within 5 working days.