Knowledge Graph Architect for Enterprise AI

Accenture

Overland Park (KS)

Hybrid

USD 140,000 - 210,000

Full time

8 days ago
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Job summary

Accenture seeks a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You will lead a team, stay at the forefront of knowledge engineering, and design ontologies while delivering end-to-end data and AI offerings for clients. You will also drive business value, collaborate across business and tech teams, and contribute to sales efforts.

Travel may be required. A Bachelor’s degree and 4+ years in knowledge graph design, ML models, and data pipelines

Qualifications

  • Bachelor’s degree or equivalent (minimum 12 years’ work experience). If Associate’s Degree, must have equivalent minimum 6-year work experience
  • Minimum 4 years of experience in designing and developing knowledge graph solutions and graph-based ML models, functional and technical experience required
  • Minimum 3 end-to-end data pipeline implementations for AI applications, especially LLMs or similar models
  • Minimum 6 years of experience with relational/graph databases and vector databases
  • Minimum 6 years of experience with Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)
  • Minimum 6 years of experience with schema design, ontology management, Knowledge Graph curation
  • Minimum 6 years managerial experience with the ability to explain the value of semantic layer and knowledge graphs to business/tech stakeholders

Responsibilities

  • Build Knowledge Graph solutions that transform clients’ data architecture
  • Design, develop, and implement AI and semantic solutions and ensure seamless integration
  • Collaborate with project teams and client stakeholders to create stand-out Data & AI offerings
  • Develop strong relationships with clients and gain the trust of key advisors
  • Make the business case for the semantic layer solution recommended to the client
  • Pitch in on Accenture sales efforts when needed
  • Continue to learn and develop cutting edge Data & AI solutions, including agentic technologies and trend insights

Skills

Team leadership
Knowledge engineering
Generative AI
LLMs & multimodal models
Ontology design
Value justification of AI & knowledge-
Cross-functional collaboration
NLP techniques
LLMs for enterprise-scale
Cloud platforms (AWS/Azure/GCP)
Python (5+ years)
External client-facing consulting
PhD in CS/EE/Math
Broad ML techniques

Education

Bachelor’s degree or equivalent

Job description

Accenture seeks a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You will lead a team, stay at the forefront of knowledge engineering, and design ontologies while delivering end-to-end data and AI offerings for clients. You will also drive business value, collaborate across business and tech teams, and contribute to sales efforts.

Travel may be required. A Bachelor’s degree and 4+ years in knowledge graph design, ML models, and data pipelines

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