Senior Knowledge Engineer
AI summary of the role
Senior Knowledge Engineer at Accenture's Advanced Technology Centers, leading design and governance of enterprise-scale knowledge graphs and ontologies to power agentic AI systems.
What you’ll do
- Own end-to-end design, governance, and maintenance of enterprise-scale knowledge graphs and ontologies
- Develop and govern ontologies, taxonomies, and semantic data models for interoperability
- Translate domain knowledge into RDF, OWL, SPARQL, or property graph models
- Collaborate with AI/ML engineers to integrate knowledge graphs into LLM-based agentic pipelines and RAG systems
What you’ll bring
- 4+ years in Knowledge Graph technologies (RDF, SPARQL, Gremlin, LPG, SHACL, RDFS)
- 2+ years in schema design, ontology management, and Knowledge Graph curation
- 2+ years in semantic modeling and linked data principles
- 2+ years designing knowledge graph solutions and graph-based ML models
Technologies
RDF · OWL · SPARQL · Neo4j · Amazon Neptune · TigerGraph · Stardog · LangChain · LlamaIndex · AutoGen · Python · RDFLib
About Accenture
Accenture helps enterprises and governments reinvent strategy, technology, operations and customer growth through global consulting, managed services, AI/data, cloud and ecosystem partnerships.
Public · 5000+ people
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