We are seeking an experienced Knowledge Graph Architect with strong hands-on expertise in designing and implementing enterprise-scale Knowledge Graph solutions. The ideal candidate will play a key architect-level role, defining knowledge graph models, governance standards, and integrations with modern AI systems including LLMs and RAG pipelines.
Design and implement enterprise-scale Knowledge Graphs aligned with ontologies, including entities, relationships, hierarchies, and constraints
Lead Knowledge Graph modeling using both Semantic Models (RDF / OWL) and Label-Property Graph approaches
Build and manage large-scale Knowledge Graphs, preferably using Neo4j
Define and enforce Knowledge Graph governance, versioning strategies, and modeling standards
Integrate Knowledge Graphs with LLMs, RAG pipelines, and enterprise applications
Review Knowledge Graph models and guide engineering teams to ensure consistency and best practices
Collaborate with cross-functional teams to deliver scalable and maintainable Knowledge Graph solutions
Act as a subject matter expert for Knowledge Graph architecture and semantic technologies
8+ years of overall experience with strong hands-on expertise in Knowledge Graph architecture
Proven experience in Knowledge Graph modeling aligned with ontologies
Strong understanding of semantic technologies such as RDF, OWL, and SPARQL
Experience with Label-Property Graph modeling and Neo4j
Experience defining governance frameworks, standards, and versioning for Knowledge Graphs
Exposure to integrating Knowledge Graphs with LLMs, RAG pipelines, and AI-driven applications
Ability to lead technical discussions, conduct design reviews, and mentor engineering teams
Strong communication and stakeholder management skills
Opportunity to work on cutting-edge initiatives combining AI, Knowledge Graphs, and LLMs
High-impact architect-level role within a reputed global organization
Long-term Contract-to-Hire engagement with competitive daily billing