Knowledge Graph & Ontology Manager (AI)

Accenture PLC; Minneapolis (MN); On-site; USD 94,000 - 254,000; Full time

Job summary

Accenture is seeking a seasoned Knowledge Engineer to lead ontology design, knowledge-graph construction, and retrieval-augmented generation for AI-enabled solutions. You will guide schema development, manage a small team, and collaborate across engineering and consulting functions to deliver robust, scalable knowledge platforms.

The role emphasizes hands-on graph technologies, production-grade RAG experiences, and leadership in agile environments, with opportunities to influence multiple

Qualifications

• 5+ years hands-on knowledge engineering, semantic web, ontology design, or taxonomy data modeling.
• 3+ years knowledge graph technologies (RDF, SPARQL, graph databases like Neo4j/Neptune).
• 1+ year retrieval-augmented generation and agent context engineering in production.
• 2+ years leading a team or workstream within a larger program.
• 5+ years of experience in Agile engineering or consulting teams.
• Bachelor's degree or equivalent work experience (minimum 12 years).

Responsibilities

• Lead schema and taxonomy design, knowledge-graph construction for an engagement.
• Oversee retrieval-augmented generation and agent context engineering on the produced corpus.
• Contribute to agile delivery and collaboration across teams.
• Provide leadership across engagements and shape the method at Senior Manager level.

Skills

Knowledge engineering

Knowledge graph

AI/LLM experience

Retrieval-augmented generation

Team leadership

Agile practices

Education

Bachelor's degree or equivalent

Tools

Neo4j

Amazon Neptune

RDF

SPARQL

SHACL

Job description

Accenture is seeking a seasoned Knowledge Engineer to lead ontology design, knowledge-graph construction, and retrieval-augmented generation for AI-enabled solutions. You will guide schema development, manage a small team, and collaborate across engineering and consulting functions to deliver robust, scalable knowledge platforms.

The role emphasizes hands-on graph technologies, production-grade RAG experiences, and leadership in agile environments, with opportunities to influence multiple