Knowledge Engineer / Semantic Expert for AI
accentureOklahoma City, OK
Knowledge Engineer / Semantic Expert for AI
Computer Systems Design ServicesOther Scientific and Technical Consulting ServicesCustom Computer Programming Services
Overview:
As a Knowledge Engineer at Accenture, you translate real-world problems into scalable AI and Knowledge Graph solutions. You lead a team, guiding the exploration of new methods and architectures to solve client challenges. You’ll stay at the forefront of knowledge engineering, generative AI, LLMs, and multi-modal models, applying them to business use cases. You design ontologies and build a strong business case for semantic layer approaches, partnering with cross-functional teams to deliver end-to-end Data & AI offerings with impact. Compensation / Benefits medical, dental, vision, life insurance long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities:
Build Knowledge Graph solutions that transform clients’ data architecture Design, develop, and implement AI and semantic solutions ensuring coherence across components Collaborate with project teams and stakeholders to create standout Data & AI offerings powered by graph technologies Develop and articulate the business value of semantic layer solutions to clients Contribute to Accenture sales efforts when needed Stay current on Data & AI trends and innovative agentic technologies, communicating risks and opportunities Travel may be required (0%–100% depending on business needs)
Key requirements:
Bachelor's degree or equivalent (minimum 12 years' work experience) Minimum of 2 years in Knowledge Graph technologies (e.g., RDF, SPARQL, LPG, SHACL) Minimum of 2 years in schema design, ontology management, and KG curation Minimum of 2 years designing and developing KG solutions and graph-based ML models Minimum of 1 end-to-end data pipeline implementation for AI apps (LLMs) Minimum of 2 years of relational databases, object stores, graph databases (e.g., Stardog, Neo4J, Neptune) and vector databases Collaboration across engineering, research, and product teams Client relationship building and advisory skills Team leadership and mentoring Knowledge Graph technologies: RDF, SPARQL, LPG, SHACL Graph databases: Stardog, Neo4J, Amazon Neptune Relational databases, object stores, vector databases
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Level
Lead L6
Location
Oklahoma City, OK
Occupation
Computer Systems Engineers/Architects
Industry
Computer Systems Design Services
Posted
yesterday