Hybrid Knowledge Graph Architect for Enterprise AI

Accenture; Houston (TX); Hybrid; USD 110,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Bonus opportunities

Paid holidays and PTO

Job summary

Accenture is seeking a Knowledge Architect to lead the design and governance of enterprise-scale knowledge graphs and ontologies. You will embed with clients as a trusted advisor and hands-on engineer, shaping semantic models and graph schemas that power next‑generation agentic AI systems at enterprise scale.

You will collaborate with AI/ML engineers to integrate graphs with LLM pipelines, pursue data governance standards, and drive scalable knowledge pipelines across data sources.

Qualifications

• Bachelor's degree or equivalent; 12 years' work experience minimum.
• 4+ years of Knowledge Graph technologies experience.
• 2+ years of schema design, ontology management, and Knowledge Graph curation.
• 2+ years of semantic modeling and linked data principles.
• 2+ years designing knowledge graph solutions and graph-based ML models.

Responsibilities

• Own 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.
• 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

Knowledge representation

Ontology design

Taxonomy development

Semantic modeling

Data governance

Education

Bachelor's degree or equivalent

Associate's degree + 6+ years experience

Tools

Python

Neo4j

RDFLib

SPARQL

Cypher

Gremlin

AWS/Azure/GCP

Job description

Accenture is seeking a Knowledge Architect to lead the design and governance of enterprise-scale knowledge graphs and ontologies. You will embed with clients as a trusted advisor and hands-on engineer, shaping semantic models and graph schemas that power next‑generation agentic AI systems at enterprise scale.

You will collaborate with AI/ML engineers to integrate graphs with LLM pipelines, pursue data governance standards, and drive scalable knowledge pipelines across data sources.