Knowledge Graph Lead for AI Solutions

Accenture PLC; Philadelphia (Philadelphia County); On-site; USD 100,000 - 294,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long‑term disability coverage

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a knowledge engineer to lead industry digital-brain delivery on client engagements, including discovery, baseline patterns, ontology design (Knowledge Graph and Data Taxonomy), and lifecycle management to keep industry engines current.

Senior Manager grade offers authority across engagements; travel may be required. You bring 5+ years in knowledge engineering, data modeling, and 2+ years in a relevant domain, plus fluency with knowledge-graph tech and RAG capabilities.

Qualifications

• Minimum of 5 years in knowledge engineering, data modeling, or industry data work, with at least 1–2 years specifically on AI/LLM‑based work.
• Minimum of 2 years of domain experience in insurance, communications & media, or retail — at an operator, an analyst firm, or a consulting practice serving the industry.
• Working fluency with knowledge‑graph technologies and retrieval‑augmented generation.

Responsibilities

• At the Manager grade you 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, in skill terms), and the lifecycle management that keeps an industry engine current.

Skills

Knowledge engineering

Data modeling

AI/LLM

Knowledge-graph technologies

Retrieval-augmented generation

Domain experience: insurance

Domain experience: communications &amp

Domain experience: retail

Team leadership

Agile engineering

Education

Bachelor’s degree or equivalent (minimum 12 years) work experience

Tools

Knowledge Graph

Job description

Accenture is seeking a knowledge engineer to lead industry digital-brain delivery on client engagements, including discovery, baseline patterns, ontology design (Knowledge Graph and Data Taxonomy), and lifecycle management to keep industry engines current.

Senior Manager grade offers authority across engagements; travel may be required. You bring 5+ years in knowledge engineering, data modeling, and 2+ years in a relevant domain, plus fluency with knowledge-graph tech and RAG capabilities.