Ontology & Knowledge Graph Architect

Accenture

Culver City (CA)

Hybrid

USD 94,000 - 294,000

Full time

2 days ago
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Job summary

Accenture is seeking an experienced Knowledge Modeler / Ontologist to design, govern, and deliver enterprise ontologies for knowledge graphs. You will bridge business, data engineering, and AI/ML teams, translating complex domains into rigorous semantic models that power intelligent applications.

The role emphasizes ontology lifecycle ownership, governance standards, and collaboration across cross‑functional teams in a hybrid work setting with travel to client sites.

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 support A-Box hydration patterns
  • Apply OWL, RDF, RDFS and SKOS with SHACL validation
  • Map relational or semi-structured sources into semantic models
  • Build and maintain knowledge graphs to enable reasoning and analytics
  • Collaborate with NLP and data teams on ontology-guided extraction

Skills

Ontology engineering
Semantic web standards
Knowledge graph dev
Protégé/Ontotext
R2RML/RML mapping
competency question development

Education

Bachelor’s in Information Science/CS/Library Science/ Linguistics
Master’s preferred or equivalent experience

Tools

Protégé
Ontotext
GraphDB
Stardog
Neo4j

Job description

Accenture is seeking an experienced Knowledge Modeler / Ontologist to design, govern, and deliver enterprise ontologies for knowledge graphs. You will bridge business, data engineering, and AI/ML teams, translating complex domains into rigorous semantic models that power intelligent applications.

The role emphasizes ontology lifecycle ownership, governance standards, and collaboration across cross‑functional teams in a hybrid work setting with travel to client sites.

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