AI Knowledge Graph Engineer & Semantic Solutions

Accenture PLC; Scottsdale (AZ); On-site; USD 74,000 - 220,000; Full time

Job summary

Accenture is hiring a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You will lead cross-functional teams, shape ontologies, and design graph-based ML models while driving business value for clients.

The role emphasizes end-to-end delivery, collaboration with business and technical teams, and ongoing learning in agentic AI and semantic technologies. Travel may be required.

Qualifications

• Bachelor's degree or equivalent with extensive work experience (minimum 12 years total)**
• Minimum of 2+ years of knowledge graph technologies (e.g. RDF, SPARQL, LPG, SHACL)
• Minimum of 2+ years of schema design, ontology management, and knowledge graph curation
• Minimum of 2+ years of experience in designing and developing knowledge graph solutions and graph-based ML models
• Minimum of 1 end-to-end data pipeline implementation for AI apps (LLMs, etc.)
• Minimum of 2 years in relational databases, object stores, graph DBs, and vector databases

Responsibilities

• Build Knowledge Graph solutions that transform clients’ data architecture
• Design and implement AI and semantic solutions that work together
• Collaborate with client teams and internal stakeholders to deliver end-to-end Data & AI offerings
• Develop client relationships and articulate business value of semantic layer solutions
• Support Accenture sales efforts when needed
• Stay current on Data & AI trends, including agentic technologies, and communicate risks and opportunities

Skills

Knowledge Graph technologies

Ontology management

Schema design

Graph databases

LLMs / enterprise-scale AI

Team leadership

Education

Bachelor's degree

Tools

Stardog

Neo4J

Amazon Neptune

Vector databases

Job description

Accenture is hiring a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You will lead cross-functional teams, shape ontologies, and design graph-based ML models while driving business value for clients.

The role emphasizes end-to-end delivery, collaboration with business and technical teams, and ongoing learning in agentic AI and semantic technologies. Travel may be required.