Role Overview :

We are looking for a Senior Knowledge Graph Engineer with deep expertise in Knowledge Graph modeling, Ontology Engineering, and Graph AI.

This role goes beyond Neo4j development or GraphRAG implementation. We are looking for someone who can design enterprise knowledge graphs, model complex business domains, and build AI-ready semantic structures.

Key Responsibilities :

- Design and model enterprise Knowledge Graphs from business use cases.

- Develop ontologies, taxonomies, entities, relationships, and semantic models.

- Build GraphRAG solutions integrating LLMs with Knowledge Graphs.

- Develop and optimize solutions using Neo4j and Cypher.

- Collaborate with business SMEs to translate domain knowledge into graph models.

- Build scalable graph-based AI solutions.

Required Skills :

- Strong experience in Knowledge Graph modeling and Ontology Design.

- Hands-on experience with Neo4j, Cypher, and Graph Databases.

- Experience with GraphRAG, LLMs, Vector Databases, and RAG architectures.

- Strong Python programming skills.

- Understanding of semantic technologies (RDF/OWL/SPARQL is a plus).

What We're Looking For :

The ideal candidate should be able to :

- Model real-world business scenarios as Knowledge Graphs.

- Design entities, relationships, events, and ontologiesnot just implement existing graph models.

- Explain the reasoning behind graph modeling decisions.

- Demonstrate deep, hands-on experience in enterprise Knowledge Graph design.

Note : Candidates with only Neo4j development or GraphRAG implementation experience, without strong Knowledge Graph modeling and ontology expertise, may not be a fit for this role.