Overview:
As a Knowledge Engineer in Accenture’s Digital Core Reinvention practice, you will shape industry-grade ontologies and data engines that enable AI systems to reason within a sector. You will lead industry digital-brain delivery on client engagements, from discovery to ontology design and lifecycle management. This role sits at the intersection of data, AI and domain expertise to drive scalable, AI-native operating models. You’ll partner with cross-functional teams to deliver measurable outcomes for clients and reinforce Accenture’s reinvention mission. Compensation / Benefits medical, dental, vision, life, and long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities:
Lead industry digital-brain delivery on client engagements Perform discovery and baseline of industry-specific patterns Design and build ontologies (Knowledge Graph and Data Taxonomy) Manage lifecycle to keep industry engines current Coordinate across engagements with senior stakeholders Mentor and guide teams on AI/LLM-based work
Key requirements:
Minimum 5 years in knowledge engineering, data modeling, or industry data work 1–2 years specifically on AI/LLM-based work 2 years domain experience in insurance, communications & media, or retail Fluency with knowledge-graph technologies and retrieval-augmented generation 2 years leading a team or workstream 4 years experience in agile engineering or consulting teams Bachelor’s degree or equivalent team leadership collaboration across functions effective communication with stakeholders knowledge-graph technologies retrieval-augmented generation ontology design and build