Knowledge Engineering Senior Analyst

Overview

In this role you will build Knowledge Graph components to transform client data architectures and deliver AI-driven semantic solutions. You will collaborate with project teams to ensure seamless integration within broader systems and support sales efforts when needed. You will mentor and share knowledge with the team as you work across engineering, research, and product domains. Your work will balance technical delivery with client-facing collaboration and continuous learning in cutting-edge data and AI tech.

Responsibilities

• Build Knowledge Graph components that transform a client’s data architecture
• Design, develop, and implement AI and semantic solutions with system-wide integration
• Collaborate with project team and delivery leads
• Foster solid relationships with client counterparts on their workstream
• Assemble supporting evidence for the recommended semantic layer solution
• Support Accenture sales efforts when called upon
• Continue developing skills in cutting-edge Data & AI solutions and share with the team

Key requirements

• Bachelor (or equivalent)
• Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
• Experience in schema design, ontology management, and KG curation
• Expertise in designing and developing KG solutions and graph-based ML models (functional + technical)
• Experience with end-to-end data pipeline implementation for AI applications (esp. LLMs)
• Experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases

• Strong collaboration across engineering, research, and product teams
• Team lead experience
• External client-facing consulting experience
• Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
• Schema design, ontology management, KG curation
• Graph-based ML models (functional + technical)

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