Knowledge Engineering Manager
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Job Summary
Position Title:Knowledge Engineering Manager
Position Type: Regular - Full-Time
Requisition ID:44036
- Own and continuously evolve the McCain Context Mesh as the foundational knowledge layer supporting enterprise AI solutions.
- Define ontology architecture taxonomy frameworks metadata standards and governance processes for McCains AI ecosystem.
- Lead and develop two domain sub-leads responsible for Commercial/Sales and Agriculture/Supply Chain ontologies.
- Establish and enforce knowledge engineering standards methodologies and quality controls across all domains.
- Coordinate cross-domain alignment and resolve ontology taxonomy and semantic modeling conflicts.
- Deploy and oversee Knowledge Engineers assigned to active AI use-case pods ensuring consistent standards and practices while supporting project delivery.
- Partner with AI Platform & Engineering teams to integrate the Context Mesh into Distyls Distillery Context Mesh and Refinery capabilities.
- Ensure knowledge assets are grounded in Databricks data platforms and remain accessible scalable and reusable across AI applications.
- Collaborate with business leaders and subject matter experts to validate ontologies capture emerging knowledge and embed real-world workflows into AI solutions.
- Work closely with Forward Deployment Engineers Use Case Governance & Operations and the Architecture Review Board to ensure knowledge quality source traceability Responsible AI compliance and architectural alignment.
- Drive the adoption of reusable knowledge patterns and semantic frameworks across the AI organization.
- Measure and improve the impact of knowledge engineering on AI solution accuracy reliability and business outcomes.
- Bachelors degree in Computer Science Engineering Information Science Linguistics or a related field; advanced degree preferred.
- 18 years of experience in knowledge engineering ontology design taxonomy management semantic modeling master data management or a related discipline.
- 5 years of people leadership experience managing specialized technical teams.
- Deep expertise in ontology design and semantic technologies including OWL RDF SKOS or equivalent modeling frameworks.
- Experience building and managing knowledge graphs semantic layers and enterprise knowledge architectures.
- Strong understanding of vector embeddings retrieval-augmented generation (RAG) and knowledge-grounding techniques for AI systems.
- Experience working with Databricks or comparable lakehouse and data-platform technologies.
- Proven ability to bridge complex business domains with AI machine learning and data-driven solutions.
- Strong stakeholder management communication and influencing skills across both technical and business audiences.
- Experience partnering with enterprise architecture governance and AI platform teams.
- Experience within consumer packaged goods (CPG) food service agriculture manufacturing or comparable enterprise environments is an asset.
- Demonstrated ability to build scalable knowledge-management practices that improve AI performance trustworthiness and adoption.
McCain Foods is an equal opportunity employer. As a global family-owned company we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity resilience and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race religion color national origin sex age veteran status disability or any other protected characteristic under applicable law.
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms) please let us knowand we will work with you to find appropriate solutions.
Your privacy is important to us. By submitting personal data or information to us you agree this will be handled in accordance with McCains Global Privacy Policyand Global Employee Privacy Policy as applicable. McCain leverages AI in the hiring process though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.
Job Family:Information Technology
Location(s): IN - India : Haryana : Gurgaon
Company:McCain Foods(India) P Ltd
Required Experience:
Manager
About Company
McCain Foods | Our purpose - 'Celebrating real connections through delicious, planet-friendly food'. We supply delicious frozen French fries, potato specialties, and appetizers to retail and foodservice customers around the globe.
