Knowledge Graph Architect & Ontology Engineer

Accenture

Nashville (TN)

Hybrid

USD 110,000 - 180,000

Full time

7 hours ago
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Job summary

Accenture is seeking an experienced Knowledge Modeler / Ontologist to contribute to domain ontology design, governance, and delivery for enterprise knowledge graph initiatives. This hybrid role bridges business stakeholders, data engineering, and AI/ML teams to translate complex domains into rigorous semantic models powering intelligent applications.

The role requires leading ontology lifecycle, governance, and collaboration with cross-functional teams.

Qualifications

  • Minimum 5 years of hands-on experience in ontology engineering, knowledge modeling, or a closely related semantic web discipline
  • Minimum 5 years demonstrable experience delivering domain ontologies in an enterprise or consulting context
  • Bachelor’s in Information Science, Computer Science, Library Science, Linguistics, Philosophy, or a related field

Responsibilities

  • Lead the full ontology lifecycle from requirements to deployment
  • Design T-Box structures and hydration patterns across data sources
  • Apply established naming conventions and URI strategies
  • Create and evolve ontologies, taxonomies, vocabularies using OWL, RDF, RDFS, SKOS
  • Coach business SMEs in competency questions to guide ontology scope

Skills

Ontology Eng
Knowledge Graphs
Semantic Web
Protégé
SPARQL
R2RML
Stakeholder comms
Upper Ontology

Education

Bachelors in Information Science
Masters in Information Science

Tools

GraphDB
Stardog
Neo4j
Protégé
Ontotext

Job description

Accenture is seeking an experienced Knowledge Modeler / Ontologist to contribute to domain ontology design, governance, and delivery for enterprise knowledge graph initiatives. This hybrid role bridges business stakeholders, data engineering, and AI/ML teams to translate complex domains into rigorous semantic models powering intelligent applications.

The role requires leading ontology lifecycle, governance, and collaboration with cross-functional teams.

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