Knowledge Engineer / Semantic Expert For Ai

Accenture

California, United States
Base: $68,300 to $220,400 depending on location; b...
Hybrid
Knowledge graph technologies experience
Ontology design and schema management
Graph database implementation skills
Accenture is seeking a Knowledge Engineer/Semantic Expert to lead the development of AI and Knowledge Graph solutions that enhance business operations through generative AI technologies. The ideal candidate will possess deep technical expertise in knowledge engineering and a strong ability to collaborate with both technical and business teams

Job Summary

  • The role involves formulating real-world problems into scalable AI and Knowledge Graph solutions while leading a team to implement cutting-edge methodologies.
  • Candidates will justify the value of generative AI approaches to clients and collaborate with business owners, engineers, and architects for end-to-end project delivery.
  • Accenture offers a competitive salary range based on location, along with comprehensive benefits including medical, dental, vision, and 401(k) plans.

Matching Summary

Match Score: 85

Accenture is seeking a Knowledge Engineer/Semantic Expert to lead the development of AI and Knowledge Graph solutions that enhance business operations through generative AI technologies. The ideal candidate will possess deep technical expertise in knowledge engineering and a strong ability to collaborate with both technical and business teams.

Salary

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

Skills & Requirements

Must-have

  • Knowledge Graph technologies experience
  • Ontology design and schema management
  • Graph database implementation skills
  • End-to-end data pipeline for AI
  • Team leadership and guidance

Nice-to-have

  • Cloud platform experience AWS Azure GCP
  • Python framework expertise TensorFlow PyTorch
  • NLP and search technique knowledge
  • Prompt engineering for enterprise LLMs
  • External client-facing consulting experience

Key Requirements

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

Work Rights

Must have US work authorization without future visa sponsorship

Tailored Resume

Cover Letter