Knowledge Graph Lead & Ontology Architect

Accenture PLC

Oklahoma City (OK)

On-site

USD 140,000 - 260,000

Full time

36 hours ago

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Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an experienced knowledge engineer to lead ontology, taxonomy design, and knowledge-graph work on a dedicated engagement. You will drive retrieval-augmented generation and engineer agent context to make knowledge consumable and actionable for AI systems.

At Senior Manager levels you will shape methods across engagements and guide teams in agile environments. The role may involve travel based on client needs; you will collaborate with AI, data, and engineering colleagues to

Qualifications

Minimum of 5 years of hands-on experience in knowledge engineering, semantic web, ontology design, or taxonomy/data modeling, with at least 1–2 years specifically on AI/LLM-based work.
Minimum 3 years of hands-on experience with knowledge graph technologies, including RDF, SPARQL, property graphs, and/or SHACL, and graph databases such as Neo4j, Amazon Neptune, or equivalent.
AI-adjacent experience counts toward the bars above: strong credentials in the neighboring discipline combined with 1–2 years of hands-on LLM work is exactly the profile we grow.
Minimum of 1 year of experience with retrieval-augmented generation and agent context engineering in production or near-production contexts.
Minimum of 2 years leading a team or workstream within a larger program.
Minimum of 5 years of experience working in agile engineering or consulting teams.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience).

Responsibilities

Lead ontology work on a single engagement: schema and taxonomy design, knowledge-graph construction, retrieval-augmented generation, and agent context engineering.
At Senior Manager grade, hold authority across engagements and shape the method; fit is assessed at interview.