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Listed on Accenture’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves designing and implementing knowledge graph solutions that connect enterprise data and support AI initiatives. It's suited for engineers with graph database expertise who want to work on semantic technologies and GenAI applications across Accenture's international client base.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Experience designing or implementing graph-based data solutions or semantic data models
- Understanding of knowledge graphs, ontologies, taxonomies, and semantic web concepts
- Familiarity with graph query languages and graph modelling principles
- Understanding of graph databases and their application in AI, analytics, and knowledge management
- Experience working with cloud-based Data & AI platforms and integrating multiple data sources
Nice to have
- Experience with graph databases such as AWS Neptune, Neo4j, Amazon Neptune, or Azure Cosmos DB
- Familiarity with RDF, OWL, SKOS, SPARQL, Gremlin, Cypher, or similar graph and semantic technologies
- Experience building knowledge graphs for RAG, Agentic AI, recommendation systems, or enterprise search
- Experience with data catalogue, metadata management, or semantic layer solutions, or consulting/solution shaping in Data & AI