Ontology / Knowledge Graph Engineer

HCL Technologies Limited; Southlake (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

HCL Technologies Limited is seeking a hands-on Ontology / Knowledge Graph Engineer to design, build, and maintain enterprise semantic models supporting network automation, semantic search, and AI use cases.

The role requires strong RDF/OWL/SPARQL expertise, knowledge graph design, data modeling, and experience with graph databases and data integration from diverse sources. You will collaborate with domain SMEs and contribute to CI/CD driven ontology pipelines.

Qualifications

• 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 messy data handling.
• Experience with JSON Schema, relational data modeling, and mapping to graph models.

Responsibilities

• Design and evolve enterprise ontologies using RDF, RDFS, OWL, TTL, SHACL and related standards.
• Develop class/property hierarchies, taxonomies, namespaces, constraints and reusable ontology patterns.
• Apply schema-first and schema-late modeling, including reverse-engineering from existing data.
• Profile and model large datasets from Excel/CSV, CIQ, configuration, inventory/CMDB, JSON, and relational sources.
• Define atomic vs. derived attributes and create validation rules for semantic models.
• Develop SPARQL 1.1 queries, competency questions, graph traversals and semantic validation.
• Build ontology ingestion, transformation, validation and testing pipelines using Python.
• Work with RDF stores like GraphDB/Stardog and LPG technologies such as Neo4j.
• Support Ontology-RAG / GraphRAG integration with AI agents and retrieval systems.
• Collaborate with domain SMEs to translate knowledge into explicit, testable models.
• Maintain ontology artifacts, mappings and validation rules in Git/CI-CD.

Skills

RDF

RDFS

OWL

TTL

SHACL

SPARQL

Semantic Web

Graph traversal

Knowledge graphs

RDF stores

Tools

GraphDB

Stardog

Neo4j

Job description

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.

Job ID: 173863

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.