Knowledge Engineer / Semantic Expert For Ai

Accenture Australia

California, United States
Base: $68,300 to $220,400 depending on location; b...
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Knowledge graph technologies rdf sparql
Ontology design and schema management
Graph database experience neo4j stardog
** Accenture Australia is seeking a Knowledge Engineer/Semantic Expert to drive innovation in generative AI and Knowledge Graph technologies. The ideal candidate will have extensive experience in knowledge engineering, leading teams, and implementing AI solutions across various industries. **

Job Summary

  • The role involves formulating real-world problems into scalable AI and Knowledge Graph solutions using generative AI and semantic layers.
  • Candidates will lead teams in designing ontologies and justifying the value of innovative graph-based approaches to business stakeholders.
  • Accenture offers a competitive compensation range based on location, along with comprehensive benefits including medical, dental, vision, and 401(k) plans.

Matching Summary

Match Score: 75

** Accenture Australia is seeking a Knowledge Engineer/Semantic Expert to drive innovation in generative AI and Knowledge Graph technologies. The ideal candidate will have extensive experience in knowledge engineering, leading teams, and implementing AI solutions across various industries. **

Salary

Base: $68,300 to $220,400 depending on location; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, life, disability, 401(k), paid holidays

Skills & Requirements

Must-have

  • Knowledge Graph technologies RDF SPARQL
  • Ontology design and schema management
  • Graph database experience Neo4J Stardog
  • End-to-end data pipeline implementation for AI
  • Generative AI and LLM application development

Nice-to-have

  • Cloud platform experience AWS Azure GCP
  • Python frameworks Tensorflow PyTorch
  • Agentic systems and multi-modal models
  • Client-facing consulting experience
  • Team lead and leadership experience

Key Requirements

  • Bachelor's degree or equivalent work experience
  • Minimum 2 years experience in Knowledge Graph technologies
  • Minimum 2 years experience in ontology management
  • Minimum 1 end-to-end data pipeline implementation
  • Strong knowledge of relational and graph databases

Work Rights

Must have US work authorization without future visa sponsorship

Tailored Resume

Cover Letter