Ontology & Knowledge Graph Engineer

Accenture

Mountain View (CA)

Hybrid

USD 94,000 - 294,000

Full time

2 days ago
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Benefits offered by this job

Medical insurance
Dental benefits
Vision benefits
Life insurance
401(k) plan
Paid holidays
Paid time off

Job summary

Accenture seeks an experienced Knowledge Modeler/ Ontologist to design and govern enterprise ontologies for knowledge graph initiatives. You will collaborate with business stakeholders, data engineers, and AI/ML teams to translate complex domains into rigorous semantic models.

The role requires hands-on ontology engineering, governance, and data integration using OWL, RDF, SHACL, and related standards. Hybrid work with travel to client locations is expected.

Qualifications

  • Minimum 5 years hands-on ontology engineering or knowledge modeling.
  • Experience delivering domain ontologies in enterprise/consulting context.
  • Formal skills in OWL 2, RDF, RDFS, SKOS, SHACL, SPARQL.

Responsibilities

  • Lead ontology lifecycle from requirements to deployment.
  • Design T-Box schemas and map data sources to semantic frameworks.
  • Build and maintain knowledge graphs for reasoning and analytics.
  • Coach SMEs in competency questions to scope ontology.
  • Ensure alignment with business goals and governance practices.

Skills

Ontology engineering
Semantic web standards
Knowledge graph development
Protégé
R2RML/RML
Communication
Upper ontology awareness
Team collaboration

Education

Bachelor’s in Information Science or related field
Master’s degree preferred

Tools

Protégé
Ontotext
GraphDB
Stardog
Neo4j
R2RML

Job description

Accenture seeks an experienced Knowledge Modeler/ Ontologist to design and govern enterprise ontologies for knowledge graph initiatives. You will collaborate with business stakeholders, data engineers, and AI/ML teams to translate complex domains into rigorous semantic models.

The role requires hands-on ontology engineering, governance, and data integration using OWL, RDF, SHACL, and related standards. Hybrid work with travel to client locations is expected.

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