Knowledge Graph Consultant

As Knowledge Graph Architect, you design and govern enterprise knowledge graphs to enable scalable, high-quality graph data for AI-driven use cases. You will lead ontology, data model, and governance work, collaborating with data, AI/ML, and business teams to translate requirements into semantic models. You’ll drive Graph RAG enablement and integrate graphs with LLMs, shaping the semantic foundation for enterprise AI while building a high-performing team.

• Define node types, relationships, schemas, and property standards
• Design scalable and extensible graph data models
• Establish versioning and lifecycle standards
• Develop ontologies, taxonomies, and semantic frameworks
• Define canonical vs. interpretive data boundaries
• Govern schema evolution and version control
• Act as the authority for all structural changes
• Manage schema, relationship, and property updates
• Define and enforce change control processes
• Design Graph RAG retrieval strategies
• Integrate knowledge graphs with LLMs and AI systems
• Optimize context generation for AI use cases
• Design REST/GraphQL APIs for graph access
• Define agent consumption interfaces
• Ensure performance, scalability, and usability
• Coach, mentor, and develop internal talent
• Provide hands-on technical guidance and reviews
• Drive delivery, prioritization, and skill development
• Partner with data, AI/ML, and business teams
• Translate requirements into semantic models
• Provide thought leadership on graph adoption

• Neo4j Schema Design (Cypher, property graph modeling)
• Ontology Engineering (OWL/RDF, Protégé)
• Graph RAG (LLM integration, retrieval strategies)
• API Design (REST / GraphQL)

• leadership
• stakeholder collaboration
• thought leadership
• Ne o4j
• Cypher
• Ontology Engineering