Knowledge Graph & Ontology Lead

Accenture PLC; Scottsdale (AZ); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Manager‑grade knowledge engineering professional to lead ontology design, schema and taxonomy work, and build knowledge graphs with retrieval‑augmented generation over the corpus. You will shape agent context engineering to make knowledge consumable and steer method development across engagements.

Ideal candidates have 5+ years in knowledge engineering, semantic web, and graph technologies, plus 2+ years leading teams in agile settings; a Bachelor's degree or equivalent is

Qualifications

• 5+ years in knowledge engineering, semantic web, ontology design, or taxonomy/data modelling
• At least 1–2 years on AI/LLM-based work
• 3+ years with knowledge graph tech (RDF, SPARQL, property graphs) and graph DBs
• 1 year in retrieval-augmented generation and agent context engineering in production
• 2+ years leading a team or workstream
• 5+ years in agile engineering or consulting teams
• Bachelor's degree or equivalent work experience (12 years)

Responsibilities

• Lead ontology work on a single engagement: schema and taxonomy design, knowledge-graph construction, RAG over the corpus
• Shape the agent context engineering that makes knowledge consumable
• At Senior Manager level, hold authority across engagements and shape the method
• Work within Agile engineering or consulting teams to deliver end-to-end solutions

Skills

Knowledge engineering

Semantic web

Ontology design

Taxonomy/data modelling

RDF/SPARQL

Graph databases

Retrieval-augmented generation

Agile teams

Leadership

Education

Bachelor's degree or equivalent

Tools

Neo4j

Amazon Neptune

Job description

Accenture is seeking a Manager‑grade knowledge engineering professional to lead ontology design, schema and taxonomy work, and build knowledge graphs with retrieval‑augmented generation over the corpus. You will shape agent context engineering to make knowledge consumable and steer method development across engagements.

Ideal candidates have 5+ years in knowledge engineering, semantic web, and graph technologies, plus 2+ years leading teams in agile settings; a Bachelor's degree or equivalent is