Knowledge Engineering Senior Analyst

Overview In this role you build and evolve knowledge graph components to transform a client's data architecture. You will design and implement AI-driven semantic solutions that integrate with the broader system, collaborating across engineering, research, and product teams.

You contribute to the semantic layer strategy and engage with client counterparts to shape the delivery. The position offers opportunities to work with cutting-edge data and AI technologies, including agentic systems, and to mentor junior engineers as you grow into team leadership.

Responsibilities Build knowledge graph components that transform client data architectures Design and develop AI-driven semantic solutions with clean system integration Collaborate with project teams and delivery leads to ensure alignment Foster strong client relationships within their workstream Assemble supporting evidence for the recommended semantic layer solution Support Accenture sales efforts when needed Continue developing skills in data & AI solutions and share learnings with the team Key requirements Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Experience designing and developing KG solutions and graph-based ML models Experience with end-to-end data pipeline implementation for AI applications (esp.

LLMs) Strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases collaboration across teams client-facing communication cross-time-zone teamwork Python TensorFlow PyTorch

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