Graph Engineer (AI&Data)
Core
Design and implement knowledge graph solutions to connect and enrich enterprise data across structured and unstructured sources, supporting analytics and GenAI use cases.
Role type
Senior IC Graph Engineer (AI & Data)
Builds
Knowledge graphs, semantic models, ontologies, and graph schemas integrated with enterprise Data & AI platforms.
Domain
Enterprise Data & Analytics, Semantic Web, Generative AI
Deliverable
production ML models | product features
Required skills
Graph-based data solution design, Knowledge graph implementation, Semantic modeling (ontologies, taxonomies), Graph query languages, Graph database management, Cloud Data & AI platform integration
Preferred skills
AWS Neptune, Neo4j, Azure Cosmos DB, RDF, OWL, SKOS, SPARQL, Gremlin, Cypher, RAG, Agentic AI, Recommendation systems
Technologies
AWS Neptune, Neo4j, Amazon Neptune, Azure Cosmos DB, Gremlin, Cypher, RDF, OWL, SKOS, SPARQL
Responsibilities
Design and implement knowledge graph solutions; Collaborate with Data Architects, Engineers, and AI teams; Build and maintain semantic models and graph schemas; Develop and optimize graph data models and queries; Integrate knowledge graphs with enterprise platforms; Participate in client workshops and technical design sessions
Seniority
Senior, hands-on IC