Position Title:Knowledge Engineering Manager

Position Type: Regular - Full time

Requisition ID: 44036

In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy.

About The Role.

The Knowledge Engineering Lead is responsible for owning and evolving McCain’s Context Mesh, the proprietary knowledge layer that powers AI use cases across the enterprise. This role ensures that AI solutions are grounded in accurate, trusted, and business-validated knowledge across commercial, manufacturing, agriculture, supply chain, and corporate domains. Reporting to the VP, Artificial Intelligence, the position leads the organization’s knowledge engineering practice, manages domain-specific knowledge teams, and enables the successful integration of knowledge assets across the McCain AI stack, including Azure, Anthropic foundation models, Distyl technologies, Databricks, SAP, and Salesforce.

What You’ll Be Doing.





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, s

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