Knowledge Engineering Consultant / Team Lead

Overview

In this role you build Knowledge Graph components to transform a client’s data architecture and design AI-driven semantic solutions. You work with the project team and client counterparts to shape the semantic layer and evidence supporting recommendations, while contributing to sales efforts and continuous skills development. You apply KG and ML techniques to real-world data problems and guide junior engineers on project work. You join a collaborative, innovation-led environment focused on delivering measurable value at scale.

Responsibilities

• Build Knowledge Graph components contributing to client data architecture transformations
• Design, develop, and implement AI and semantic solutions with clean integration into broader systems
• Collaborate with project team and delivery leads to deliver outcomes
• 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 learnings with the team
• Collaborate across engineering, research, and product teams across time zones

Key requirements

• Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
• Experience in schema design, ontology management, and KG curation
• Proven ability to design and develop KG solutions and graph-based ML models
• End-to-end data pipeline implementation for AI applications, especially LLMs
• Strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune) and vector databases

• strong collaboration skills
• client-facing consulting experience (preferred)
• cross-functional teamwork across time zones
• Python
• TensorFlow
• PyTorch

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