Knowledge Engineering Consultant/Manager/Senior Manager

Darum lohnt es sich

You collaborate across business and technical teams to deliver solutions that meet user and organisational needs, while contributing to the evolution of methodologies, standards, architectures, and best practice THE WORK • Build/Lead Knowledge Graph components that contribute to transforming a client's data architecture • Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system • Work alongside the project team and delivery leads • Build solid working relationships with client counterparts on their workstream • Help assemble the supporting evidence for the recommended semantic layer solution • Support Accenture sales efforts when called on • Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team • Lead the complete Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients • Own the design, development, and implementation of AI and semantic solutions across the program • Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings. • Develop trusted‑advisor relationships with senior client stakeholders. • Make and defend the business case for the semantic layer solution at the executive level • Lead Accenture sales and pre‑sales efforts and shape data transformation programs • Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies, and develop the teams who deliver them EDUCATION • Bachelor's degree or equivalent BASIC SKILLS/EXPERIENCE • Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) • Schema design, ontology management, and KG curation experience • Practical experience designing and developing KG solutions and graph-based ML models (functional + technical) • Knowledge of end‑to‑end data pipeline implementation for AI applications (esp.

LLMs), with hands‑on design and configuration • Strong knowledge and practical experience of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases For more senior levels: • Experience leading people, able to explain the value of semantic layer and knowledge graphs to senior business and technology stakeholders, with a proven track record in sales and/or pre‑sales and in delivering data transformation programs and developing teams • Broad experience in diverse ML techniques and agentic systems • You have external client‑facing consulting experience and a strong ability to nurture successful client relationships YOU ARE You are a Knowledge Engineer with expertise across the Knowledge graph development lifecycle, translating complex real-world business challenges into practical, scalable AI and Knowledge Graph solutions.

You work across the lifecycle from data ingestion, modelling, curation, ontology design, architecture, and deployment, applying appropriate methodologies, techniques, and algorithms to deliver robust end-to-end solutions.

You remain at the forefront of knowledge engineering, generative AI, large language models (LLMs), and multimodal AI, applying emerging capabilities to create business value and drive innovation.