Ontology / Knowledge Graph Engineer

HCLTech is looking for a highly talented and self- motivated Ontology - Knowledge Graph Specialist to join it in advancing the technological world through innovation and creativity.

Position: Ontology - Knowledge Graph Specialist

Job ID: 173863

Location: Southlake, Texas 700092

Job Summary We are seeking a hands-on Ontology / Knowledge Graph Engineer to design, build, and maintain enterprise knowledge models supporting network automation, semantic search, and AI/agentic use cases. The ideal candidate combines strong RDF/OWL and graph engineering skills with practical experience converting complex, real-world data into well-defined, validated semantic models.

Key Responsibilities

● Design and evolve enterprise ontologies using RDF, RDFS, OWL, Turtle (TTL), and SHACL.

● Develop class/property hierarchies, relationships, taxonomies, namespaces, constraints, and reusable ontology patterns.

● Apply both schema-first and schema-late modeling approaches, including reverse-engineering models from existing data.

● Profile and model large, complex datasets from Excel/CSV, CIQ, configuration, inventory/CMDB, JSON, and relational sources.

● Define atomic vs. derived attributes, cross-field relationships, deterministic derivation rules, and validation rules.

● Develop SPARQL 1.1 queries, competency questions, graph traversals, dependency/impact queries, and semantic validation.

● Build and maintain ontology ingestion, transformation, validation, and testing pipelines using Python.

● Work with RDF graph databases such as GraphDB/Stardog and understand Labeled Property Graph (LPG) technologies such as Neo4j.

● Support Ontology-RAG / GraphRAG / hybrid graph + vector retrieval and integration of knowledge graphs with AI agents.

● Partner with network/domain SMEs to translate implicit business and engineering knowledge into explicit, testable models.

● Maintain ontology artifacts, specifications, mappings, and validation rules in Git/CI-CD.

Required Skills & Experience

● Strong hands-on experience with RDF, RDFS, OWL, TTL, SHACL, SPARQL, and Semantic Web technologies.

● Practical knowledge of knowledge graphs, graph traversal, RDF stores, LPGs, and graph validation.

● Experience with schema-first and schema-late ontology development.

● Strong data modeling and reverse-engineering skills, including working with messy or incomplete source data.

● Experience with JSON Schema, relational data modeling, and mapping between relational/JSON and graph models.