Enterprise Knowledge Graph Architect for AI Systems

Accenture; Houston (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Accenture is seeking a Knowledge Architect to design and govern enterprise-scale knowledge graphs and ontologies. You will embed with clients as a trusted advisor and hands-on engineer, shaping semantic data models that enable reasoning, planning, and action across complex AI pipelines.

You will collaborate with AI/ML teams to integrate graph-based knowledge into RAG systems and large language model workflows, while promoting scalable data governance and interoperability.

Qualifications

• Bachelor's degree or equivalent; 12+ years experience preferred.
• Deep knowledge of OWL, RDF, RDFS and ontologies.
• Proven ability to design and govern knowledge graphs for enterprise-scale AI.

Responsibilities

• Own end-to-end design, governance, and maintenance of enterprise knowledge graphs and ontologies.
• Develop and govern ontologies, taxonomies, and semantic data models.
• Define data modeling standards and schema design patterns.

Skills

Ontology design

Taxonomy development

Semantic modeling

Schema design

Education

Bachelor's degree or equivalent

Tools

Neo4j

Amazon Neptune

TigerGraph

Stardog

SPARQL

Cypher

Gremlin

Job description

Accenture is seeking a Knowledge Architect to design and govern enterprise-scale knowledge graphs and ontologies. You will embed with clients as a trusted advisor and hands-on engineer, shaping semantic data models that enable reasoning, planning, and action across complex AI pipelines.

You will collaborate with AI/ML teams to integrate graph-based knowledge into RAG systems and large language model workflows, while promoting scalable data governance and interoperability.