AI Knowledge Graph Lead: Ontology & RAG

Accenture PLC; Kirkland (WA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture seeks a highly experienced knowledge engineering professional to lead ontology design and knowledge-graph work on complex engagements. You will shape schema, taxonomy, and retrieval-augmented generation, and ensure the agent context engineering that makes knowledge consumable across the project.

The role requires leadership of teams in agile engineering or consulting settings, plus hands-on work with RDF/SPARQL, graph databases, and vector-store technologies.

Qualifications

• 5+ years hands-on experience in knowledge engineering, semantic web, ontology design, or taxonomy/data modeling.
• 1–2 years AI/LLM-based work.
• 3+ years knowledge graph technologies including RDF, SPARQL, property graphs, and graph databases.
• 1 year experience with retrieval-augmented generation and agent context engineering.
• 2 years leading a team or workstream.
• 5 years experience in agile engineering or consulting teams.
• Bachelor's degree or equivalent (12 years) work experience.

Responsibilities

• Lead ontology work on a single engagement: schema and taxonomy design.
• Construct knowledge graphs and enable retrieval-augmented generation.
• Engineer agent context to make knowledge consumable.
• Hold authority across engagements at Senior Manager grade.

Skills

Knowledge engineering

Semantic web

Ontology design

Taxonomy/data modeling

AI/LLM work

Knowledge graph technologies

RDF/SPARQL

Graph databases

Neo4j/Amazon Neptune

Retrieval-augmented generation

Agent context engineering

Agile engineering

Team leadership

Education

Bachelor's degree or equivalent

Tools

SHACL

RDF

SPARQL

Neo4j

Amazon Neptune

Qdrant

Pinecone

Job description

Accenture seeks a highly experienced knowledge engineering professional to lead ontology design and knowledge-graph work on complex engagements. You will shape schema, taxonomy, and retrieval-augmented generation, and ensure the agent context engineering that makes knowledge consumable across the project.

The role requires leadership of teams in agile engineering or consulting settings, plus hands-on work with RDF/SPARQL, graph databases, and vector-store technologies.