Knowledge Graph Architect & AI Innovator

Accenture; Bentonville (AR); On-site; USD 140,000 - 200,000; Full time

Job summary

Accenture is seeking a Knowledge Engineer to transform clients’ data architecture with Knowledge Graphs and AI-driven semantic solutions. You will lead a team, define ontologies, and work across business and technical groups to deliver end-to-end projects leveraging graph technologies and LLMs.

You will collaborate with engineers, architects, and product teams to justify the value of semantic layers in real-world business problems, while pursuing innovation and risk management across engagements.

Qualifications

• Minimum of 4 years of experience in designing and developing knowledge graph solutions.
• Minimum of 3 end-to-end data pipeline implementations for AI applications, including LLMs.
• Minimum of 6 years of knowledge graph technologies (e.g. RDF, SPARQL, LPG, SHACL).
• Minimum of 6 years of schema design, ontology management, and knowledge graph curation.

Responsibilities

• Lead a team and provide guidance on methodologies, model building techniques, and algorithms.
• Design, evaluate, and maintain ontologies and knowledge graphs.
• Collaborate with business and technical teams to deliver end-to-end Data & AI solutions using graph technologies.
• Develop client relationships and articulate the value of semantic layer approaches.
• Contribute to Accenture sales efforts and pre-sales when needed.
• Stay current with AI trends, agentic technologies, and potential risks.

Skills

Knowledge Graph

Graph databases

RDF

SPARQL

Ontology design

Leadership

Education

Bachelor's degree or equivalent

Tools

Stardog

Neo4J

Amazon Neptune

Python

TensorFlow

PyTorch

Job description

Accenture is seeking a Knowledge Engineer to transform clients’ data architecture with Knowledge Graphs and AI-driven semantic solutions. You will lead a team, define ontologies, and work across business and technical groups to deliver end-to-end projects leveraging graph technologies and LLMs.

You will collaborate with engineers, architects, and product teams to justify the value of semantic layers in real-world business problems, while pursuing innovation and risk management across engagements.