Senior Knowledge Graph Architect for AI Agents

Information Technology Senior Management Forum; Irving (TX); Hybrid; USD 140,000 - 230,000; Full time

Job summary

Accenture seeks a Knowledge Architect to design and operationalize knowledge graphs, ontologies, and semantic models for enterprise-scale AI systems. You will work with clients and engineering teams to bridge domain knowledge with agentic AI pipelines.

The role is hybrid in the Dallas, TX area with travel required and collaboration across global teams. Strong expertise in RDF/OWL, SPARQL, and graph technologies is essential.

Qualifications

• Experience designing ontologies, taxonomies, and semantic models.
• Proficiency with RDF/OWL and graph databases for enterprise data.
• Hands-on knowledge graph development and curation.
• Familiarity with agentic AI concepts and RAG architectures.

Responsibilities

• Lead end-to-end knowledge graphs and ontologies for enterprise AI pipelines.
• Define data models, schemas, and standards for structured knowledge.
• Collaborate with AI/ML engineers to integrate graphs into LLM workflows.
• Design multi-step reasoning and dynamic planning across data sources.
• Engage clients to translate domain knowledge into formal structures.

Skills

Ontology design & engineering

Taxonomy development

Semantic modeling

Schema design

Property graph modeling

Graph databases

SPARQL/Cypher/Gremlin

Entity resolution

RAG - Retrieval Augmented Generation

LLM grounding

LangChain / LlamaIndex

Python

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor's degree or equivalent (12+ years experience)

Tools

Neo4j

Amazon Neptune

TigerGraph

Stardog

RDF/OWL/SHACL

SPARQL

Gremlin

NLP / Enterprise search tooling

PyKEEN / NetworkX / RDFLib

Job description

Accenture seeks a Knowledge Architect to design and operationalize knowledge graphs, ontologies, and semantic models for enterprise-scale AI systems. You will work with clients and engineering teams to bridge domain knowledge with agentic AI pipelines.

The role is hybrid in the Dallas, TX area with travel required and collaboration across global teams. Strong expertise in RDF/OWL, SPARQL, and graph technologies is essential.