Lead Knowledge Engineer, AI & Ontologies

Accenture PLC; Cincinnati (OH); On-site; USD 87,000 - 235,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k)

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a knowledge engineer at Manager/Senior Manager level to lead industry digital‑brain delivery on client engagements, including discovery, baseline industry patterns, ontology design, and lifecycle management of knowledge graphs.

Travel may be required; the role demands 5+ years in knowledge engineering and 2+ years in domain experience, with fluency in knowledge‑graph technologies and experience leading teams in agile environments.

Qualifications

• Minimum 5 years in knowledge engineering, data modeling, or industry data work, with 1–2 years AI/LLM‑based work.
• Minimum 2 years of domain experience in insurance, communications & media, or retail.
• Fluent with knowledge‑graph technologies and retrieval‑augmented generation.
• Minimum 2 years leading a team or workstream within a larger program.
• Minimum 4 years of experience in agile engineering or consulting teams.

Responsibilities

• Lead industry digital‑brain delivery on a client engagement: discovery and baseline of industry patterns.
• Design and build ontology and knowledge graph components; manage lifecycle of the industry engine.
• Coordinate with cross‑functional teams and stakeholders across engagements.
• Oversee alignment with agile delivery and client requirements during projects.

Skills

Knowledge engineering

Data modeling

AI/LLM work

Knowledge-graph technologies

Team leadership

Agile methodologies

Domain experience (insurance/comms/ret

Education

Bachelor’s degree or equivalent work experience

Job description

Accenture is seeking a knowledge engineer at Manager/Senior Manager level to lead industry digital‑brain delivery on client engagements, including discovery, baseline industry patterns, ontology design, and lifecycle management of knowledge graphs.

Travel may be required; the role demands 5+ years in knowledge engineering and 2+ years in domain experience, with fluency in knowledge‑graph technologies and experience leading teams in agile environments.