Applied AI Engineer, Knowledge Graph

📋 Description

• Design, build, and maintain knowledge graph structures across budgeting and finance.
• Model semantic relationships within workflows to reflect business logic.
• Collaborate with Data Engineering and R&D/Product Engineering to align schemas with data models.
• Work with product owners and domain experts to translate semantics into queryable graph structures.
• Document schema decisions and data lineage in accessible language for engineers and stakeholders.

🎯 Requirements

• Bachelor’s degree in CS/Engineering/Data Science or related field.
• 3–6 years with graph databases (Neo4j, Neptune, TigerGraph, ArangoDB) in production.
• Proficiency with Cypher or Gremlin for graph queries.
• Strong semantic data modeling: entities, relationships, ontologies, taxonomies.
• Experience with operational data in PostgresDB.
• Exceptional communication; able to explain graph schema decisions clearly.

🎁 Benefits

• Comprehensive healthcare options for individuals and families.
• Flexible vacation policy and paid company holidays.
• 401(k) with company match.
• Paid parental leave, wellness stipends, and HSA contributions.
• Professional development and growth opportunities.
• A collaborative office environment with weekly catered lunches.