Knowledge Engineering Manager
About this role
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 McCain’s 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 Distyl’s 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.
- Bachelor’s 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 know and 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 McCain’s Global Privacy Policy and 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
Company at a glance
At McCain, we believe food plays an important role in people’s lives, with the power to bring individuals, families, and communities together.
As a privately owned family company with over 67 years of experience, a presence in over 160 countries, and a global team of 23,000+ people, our values and culture are at the heart of everything we do. Our product quality, people and customer dedication help us achieve global sales in excess of CDN $14 billion. Through our investment and innovation agenda, we continue to be a global leader in prepared potato products, including our famous French Fries and appetizers.
Guided by our purpose—celebrating real connections through delicious, planet-friendly food—we believe that working together with our teams, business and community partners will bring sustainable growth and positive change. At McCain, sustainability goes to the heart of our purpose as a business. That purpose means putting agronomy at the forefront of all we do to ensure healthier soils which lead to more sustainably sourced food. It means reducing our climate impact and supporting the communities where we operate—today, tomorrow and for generations to come. 🌱🥔🍟
Connect with McCain Foods on
Instagram: @McCainGlobal
Twitter: @McCainGlobal
YouTube: @McCainFoodsGlobal
Threads: @mccainglobal
💛 #WeAreMcCain
Tired of cold applications?
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Know someone who'd be great for this?