Lead Knowledge Graph Architect for Enterprise AI

Accenture

Minneapolis (MN)

Hybrid

USD 140,000 - 190,000

Full time

8 days ago
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Job summary

Accenture is seeking a Knowledge Engineer to turn real-world problems into scalable AI and Knowledge Graph solutions. You will lead teams, explore new methodologies, and justify the value of advanced AI approaches to business stakeholders.

You will design ontologies, build graph-based architectures, and work with cross-functional teams to deliver end-to-end Data & AI offerings powered by graph technologies.

Qualifications

  • Minimum of 4 years designing knowledge graph solutions and graph-based ML models.
  • Minimum of 3 end-to-end data pipeline implementations for AI apps with LLMs.
  • Minimum of 6 years experience with relational databases, graph databases, and vector stores.
  • Minimum of 6 years in Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
  • Minimum of 6 years with ontology management and KG curation.
  • Minimum of 6 years managing people and communicating value to senior stakeholders.

Responsibilities

  • Build Knowledge Graph solutions transforming clients’ data architecture.
  • Design, develop, and implement AI and semantic solutions that work end-to-end.
  • Collaborate with project teams, leaders, and client stakeholders to deliver data & AI offerings.
  • Develop strong client relationships and gain trust of key advisors.
  • Make the business case for semantic layer solutions to clients.
  • Support Accenture sales efforts when needed.
  • Continuously learn and lead on trends, opportunities, and risks in Data & AI.

Skills

Team leadership
Knowledge engineering
Generative AI
LLMs
Ontology design
Data architectures
Stakeholder communication
Sales/pre-sales

Education

Bachelor's degree or equivalent

Tools

Stardog
Neo4J
Amazon Neptune
SPARQL
RDF
Python
ETL pipelines

Job description

Accenture is seeking a Knowledge Engineer to turn real-world problems into scalable AI and Knowledge Graph solutions. You will lead teams, explore new methodologies, and justify the value of advanced AI approaches to business stakeholders.

You will design ontologies, build graph-based architectures, and work with cross-functional teams to deliver end-to-end Data & AI offerings powered by graph technologies.

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