AI Knowledge Engineer Lead - Industry Ontologies

Accenture PLC; Walnut Creek (CA); Vor Ort; USD 94.000 - 294.000; Vollzeit

Zusammenfassung

Accenture is seeking a knowledge engineer for California to lead industry digital-brain delivery on client engagements, including discovery, ontology design, and lifecycle management of knowledge graphs and data taxonomies.

At Manager/Senior Manager levels, you will oversee vertical engagements, travel 0–100%, and work within agile teams to drive AI-enabled transformation for clients.

Qualifikationen

• 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.
• Minimum of 2 years leading a team or workstream within a larger program.
• Minimum of 4 years of experience working in agile engineering or consulting teams.
• Bachelor’s degree or equivalent (minimum 12 years) work experience.

Aufgaben

• 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.
• At the Senior Manager grade you hold authority across engagements in the vertical and are evaluated at interview rather than requisition.

Kenntnisse

Knowledge engineering

Data modeling

AI/LLM experience

Knowledge graph tech

Retrieval-augmented generation

Domain knowledge (insurance/comms/ret/

Team leadership

Agile methodologies

Ausbildung

Bachelor’s degree or equivalent

Tools

Knowledge Graph

Jobbeschreibung

Accenture is seeking a knowledge engineer for California to lead industry digital-brain delivery on client engagements, including discovery, ontology design, and lifecycle management of knowledge graphs and data taxonomies.

At Manager/Senior Manager levels, you will oversee vertical engagements, travel 0–100%, and work within agile teams to drive AI-enabled transformation for clients.