Knowledge Graph Architect for Enterprise AI

Accenture; Overland Park (KS); Hybrid; USD 140,000 - 210,000; Full time

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