Knowledge Engineer

Project Role : Knowledge Engineer Project Role Description : Design and structure knowledge frameworks that enable AI systems to reason and make informed decisions. Capture and translate expert and unstructured knowledge into ontologies, knowledge graphs, and semantic models, ensuring accuracy and context for automation and insights. Apply advanced analytics on knowledge graphs to drive problem-solving and actionable insights. Must have skills : Microsoft Azure Data Services Good to have skills : Graph Databases, Data Engineering Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary: AI Powered Tech Talent You lead the complete knowledge engineering scope on our most strategic and complex programs lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding programs formulate real-world problems into scalable AI and KG solutions, setting strategy and architecture end to end. You lead and develop teams of engineers, building capability across the discipline and guiding adoption of new methods and algorithms. You define what staying at the forefront means for the practice drive innovation and translate it into new offerings. You set the standards for how ontologies are designed, evaluated, and maintained across programs. You make the case to senior stakeholders and shape the methodologies and data architectures that prove value at scale. You lead the creation of thought leadership, innovation, and reusable assets that advance the discipline beyond any single engagement. You partner with business and technical leaders to direct end-to-end delivery across complex, multi-stakeholder programs. 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. Bachelor's degree or equivalent Bachelor's degree or equivalent, plus all of the following: Minimum 6 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Minimum 6 years of experience in schema design, ontology management, and KG curation Minimum 4 years designing and developing KG solutions and graph-based ML models (functional + technical) Minimum 3 years of experience with end-to-end data pipeline implementations for AI applications (esp. LLMs), with hands-on design and configuration