Knowledge Graph Architect & Ontology Engineer

Accenture

Philadelphia (Philadelphia County)

Hybrid

USD 110,000 - 190,000

Full time

14 days+

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Job summary

Accenture is seeking an experienced Knowledge Modeler / Ontologist to shape enterprise knowledge graphs and domain ontology design. You will bridge business, data engineering, and AI/ML teams, translating complex domains into rigorous semantic models aligned with governance standards.

Responsibilities include leading ontology lifecycle, modeling patterns, and ensuring compliance with OWL/RDF/SKOS, while coaching SMEs to validate competency questions and drive value across programs.

Qualifications

  • Minimum 5 years hands-on ontology engineering or semantic web experience.
  • Experience delivering domain ontologies in enterprise or consulting settings.
  • Bachelor’s degree in a relevant field is required.

Responsibilities

  • Lead full ontology lifecycle from requirements to deployment.
  • Design T-Box structures and contribute to A-Box hydration patterns.
  • Create and evolve ontologies, taxonomies, and vocabularies using OWL, RDF, RDFS, SKOS.
  • Map relational data into semantic frameworks.
  • Build knowledge graphs to support reasoning and analytics.
  • Collaborate with Data Engineering, AI/ML, Product, and Business SMEs.
  • Coach business stakeholders in developing competency questions.
  • Ensure alignment with governance and upper ontologies.

Skills

Ontology Engineering
Knowledge Graph Development
Semantic Web Standards
Communication & Collaboration
Upper Ontology Awareness

Education

Bachelor’s in Information Science, Computer Science, Library Science, Linguistics, Philosophy, or related field
Master’s degree preferred or equivalent practical experience

Tools

Protégé
Ontotext
GraphDB
Stardog
Neo4j
R2RML
RML
SPARQL
OWL 2
RDF/RDFS/SKOS
SHACL

Job description

Accenture is seeking an experienced Knowledge Modeler / Ontologist to shape enterprise knowledge graphs and domain ontology design. You will bridge business, data engineering, and AI/ML teams, translating complex domains into rigorous semantic models aligned with governance standards.

Responsibilities include leading ontology lifecycle, modeling patterns, and ensuring compliance with OWL/RDF/SKOS, while coaching SMEs to validate competency questions and drive value across programs.

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