Forward Deployment Engineer

''•Oakbrook Terrace, IL

4d•$85,500 - $114,000•Hybrid

About The Position

The Forward Deployment Engineer is accountable for owning high-value AI use cases from problem discovery through delivery, adoption, and measured business value. This role embeds directly in the business, partners closely with technical teams, and ensures AI solutions are accurate, reliable, adopted by users, and aligned to McCain’s Responsible AI, security, and governance standards. The role is permanent and may be based in North America, including Toronto or Chicago, with India and Canada rotation opportunities available for pod-facing assignments.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field; an advanced degree is considered an asset.
5+ years of experience owning complex, client-facing, or business-facing technology projects.
Ability to frame high-level business problems and connect solutions to ROI or strategic KPIs.
Ability to reason about LLM and agent reliability constraints and credibly direct engineers, without necessarily coding production systems.
Experience navigating noisy enterprise data, ambiguous environments, and complex stakeholder needs.
Demonstrated record of driving measured financial impact and user adoption, not just delivery.
Strong customer obsession, executive presence, and ability to earn trust from end users through functional senior leadership teams.
Comfort with ambiguity, ownership, and travel to the point of work, including sales ride-alongs, plant visits, and grower sites.

Nice To Haves

McCain commercial domain experience in Sales, Marketing, Manufacturing, or Supply Chain; CPG or food-service experience; knowledge-engineering instincts; familiarity with the McCain AI stack; or change-management experience.
Strong commitment to ethical and responsible AI practices.

Responsibilities

Own one Red or high-value Yellow AI use case end-to-end and be accountable for the realized business outcome.
Embed in the business workflow to identify the highest-value problems and define success metrics with the business owner.
Drive use cases from problem discovery through deployment, adoption, and measured value realization.
Partner with a technical lead from the AI Engineering team to guide a small, dedicated cross-functional pod.
Ensure AI solutions are accurate, reliable, and integrated with systems such as SAP, Salesforce, Databricks, and the Distyl agent harness.
Solve ambiguous deployment and integration challenges in real time by engaging central functions as needed.
Drive user onboarding, training, and change management to embed solutions into daily operating processes.
Identify adoption risks early and lead corrective actions to support sustained business impact.
Build trust with business sponsors and end users as a credible technical advisor.
Support Responsible AI, security, and risk-classification requirements, including evaluation gates owned by Use Case Governance & Operations.