Knowledge Graph Architect for Agentic AI

Accenture PLC; Atlanta (GA); Hybrid; USD 90,000 - 210,000; Full time

Job summary

Accenture seeks a Knowledge Architect to shape ontologies, graphs, and data models for intelligent agentic AI systems at enterprise scale. You will embed with clients as a technology advisor and engineer, leading architecture and development of knowledge graphs and semantic data models to power next-gen AI pipelines.

In this hybrid Dallas-area role, you’ll collaborate across teams and with stakeholders to design robust knowledge structures, drive data governance, and enable multi-step reasoning

Qualifications

• Ontology design and engineering (OWL, RDF, RDFS)
• Taxonomy and thesaurus development
• Semantic modeling and linked data principles
• Schema design (schema.org, custom domain schemas) and W3C standards

Responsibilities

• Own the end-to-end design, governance, and maintenance of enterprise-scale knowledge graphs and ontologies, bridging structured domain knowledge with large-scale agentic AI pipelines to enable reasoning, planning, and decision-making.
• Develop and govern ontologies, taxonomies, and semantic data models that formalize domain knowledge and support interoperability across systems and teams.
• Define and enforce data modeling standards, schema design patterns, and best practices for structured and semi-structured knowledge representation.
• Translate complex domain knowledge from subject matter experts into formal, machine-readable knowledge structures using RDF, OWL, SPARQL, or property graph models.
• Lead knowledge engineering discovery workshops and working sessions with client stakeholders to surface, validate, and formalize domain knowledge requirements.
• Collaborate with AI/ML engineers to integrate knowledge graphs as grounding and contextual layers for LLM-based agentic pipelines and retrieval-augmented generation (RAG) systems.
• Design knowledge structures that support multi-step agent reasoning, tool use, and dynamic planning across heterogeneous data sources.
• Work with project teams, team leaders, delivery leads, and client stakeholders to create standout Data & AI offerings powered by graph-based technologies.
• Collaborate with data engineering and platform teams to build scalable pipelines for knowledge graph population, enrichment, and lifecycle management.
• Develop strong client relationships and earn the trust of key stakeholders as a strategic advisor.
• Communicate complex ontological concepts and graph architectures clearly to both technical and non-technical audiences.
• Evaluate and pilot emerging tools, frameworks, and standards (e.g., LPG vs. RDF, Wikidata, schema.org, W3C standards)

Skills

Ontology design

Taxonomy development

Semantic modeling

Schema design

Education

Bachelor's degree or equivalent

PhD in CS/EE/Math or related field

Tools

SPARQL

Cypher

Gremlin

RDF/OWL

RDFS

Neo4j

Amazon Neptune

TigerGraph

Stardog

Job description

Accenture seeks a Knowledge Architect to shape ontologies, graphs, and data models for intelligent agentic AI systems at enterprise scale. You will embed with clients as a technology advisor and engineer, leading architecture and development of knowledge graphs and semantic data models to power next-gen AI pipelines.

In this hybrid Dallas-area role, you’ll collaborate across teams and with stakeholders to design robust knowledge structures, drive data governance, and enable multi-step reasoning