Knowledge Graph & Ontology Lead for AI

Accenture PLC; San Francisco (CA); On-site; USD 94,000 - 294,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Paid holidays

Paid time off

Job summary

Accenture is seeking an experienced knowledge engineer to lead industry digital-brain delivery on client engagements, including discovery, ontology design, and lifecycle management of knowledge graphs and data taxonomies. The role requires 5+ years in knowledge engineering or related fields, with 1–2 years in AI/LLM work and 2+ years of domain experience in insurance, telecom & media, or retail.

Travel may be required.

Qualifications

• Minimum 5 years in knowledge engineering, data modeling, or industry data work, with 1–2 years on AI/LLM-based work.
• Minimum 2 years of domain experience in insurance, communications & media, or retail in an operator, analyst firm, or consulting practice.
• Fluency with knowledge-graph technologies and retrieval-augmented generation.
• Minimum 2 years leading a team or workstream within a larger program.

Responsibilities

• Lead industry digital-brain delivery on a client engagement: discovery and baseline of industry-specific patterns, ontology design and build (Knowledge Graph and Data Taxonomy), and lifecycle management.
• Hold authority across engagements in the vertical at Senior Manager level; alignment determined at interview.
• Travel may be required; amount varies by business needs.

Skills

Knowledge engineering

Data modeling

AI/LLM experience

Team leadership

Agile engineering

Domain knowledge (Insurance, Telecom,/

Education

Bachelor’s degree (minimum 12 years of work experience)

Tools

Knowledge graph technologies

Retrieval-augmented generation

Job description

Accenture is seeking an experienced knowledge engineer to lead industry digital-brain delivery on client engagements, including discovery, ontology design, and lifecycle management of knowledge graphs and data taxonomies. The role requires 5+ years in knowledge engineering or related fields, with 1–2 years in AI/LLM work and 2+ years of domain experience in insurance, telecom & media, or retail.

Travel may be required.