Supply Chain AI Program Expert

AGCO Corporation

Batavia (IL)

On-site

USD 120,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Health care & wellness
Dental & vision
401(k) match
Employee stock purchase plan
Paid holidays & PTO
Health savings & FSAs
Life & supplemental insurance
Learning & development

Job summary

AGCO Corporation seeks a Supply Chain AI Program Lead – Site to identify, design, and drive AI-enabled automation opportunities from the shop floor up. You will bridge central AI strategy with local plant execution, ensuring measurable results and successful deployments.

You will lead workshops, build business cases, and champion AI adoption while collaborating with central AI, IT, and digital teams to deliver on the 100,000+ hour automation target.

Qualifications

  • Bachelor's or master's degree in engineering (Mechanical, Industrial, Manufacturing, Electrical) with 5–8 years in manufacturing or supply chain.
  • Applied AI or automation certification or proven project experience applying AI to business processes; capable of facilitating workshops.
  • Strong communication skills; able to present to plant leadership and work with floor operators; familiarity with Lean, Six Sigma or CI.
  • Experience with agentic AI concepts or AI-driven process redesign; familiarity with ERP systems (SAP preferred).
  • Experience in agricultural equipment, automotive, or heavy manufacturing; working knowledge of prompt engineering and LLMs.

Responsibilities

  • Conduct role and task profiling workshops to map current work and identify AI opportunities across the site.
  • Design high-level AI agent concepts and solution blueprints for high-impact use cases; drive local implementation with central teams.
  • Lead change management at the site; train and coach teams and track automation hours toward the target.
  • Act as the local AI champion; build awareness, demos, and foster a culture of innovation at the site.
  • Collaborate with AI Program Leads at other sites to share practices and drive cross-site learning.

Skills

Communication
Workshop facilitation
Cross-functional leadership
Lean/Six Sigma
AI concepts

Education

Engineering degree (B.S./M.S.)

Tools

SAP
LLMs
Prompt engineering

Job description

Not everyone can claim to feed the world, but it is part of our every day. Behind everything we do for our farmers, there is one AGCO team making it happen. We are proud to put our curiosity to work, building a better and more sustainable world.

AGCO Corporation is driving a large-scale AI transformation across its global supply chain operations, with a target of automating 100,000+ hours of work through intelligent automation and AI-enabled process redesign. The Supply Chain AI Program Lead - Site is a dedicated, on-the-ground role embedded at a major AGCO manufacturing site, responsible for identifying, designing, and driving AI-enabled automation opportunities from the shop floor up. This role bridges the gap between central AI strategy and local plant execution, ensuring that AI initiatives are grounded in real operational context and deliver measurable results

Your Impact
  • Conduct role and task profiling workshops at the site using AGCO's standardized framework (Human, Cognitive, Core, Admin) to create a fact-based view of how work is done today. Identify, evaluate, and prioritize AI and automation opportunities across site operations, building credible business cases for each initiative.
  • Design high-level AI agent concepts and solution blueprints for the site's highest-impact use cases. Drive local implementation of AI solutions in collaboration with central AI, IT, and digital teams, ensuring successful deployment and integration
  • Lead change management at the site - train, coach, and support site teams through the adoption of new AI-enabled ways of working. Track and report automation hours delivered at the site, contributing to AGCO's overall 100,000-hour automation target.
  • Act as the local AI champion - build awareness, run demonstrations, evangelize AI capabilities, and foster a culture of innovation at the site.
  • Collaborate with AI Program Leads at other AGCO sites to share best practices, replicate successful solutions, and drive cross-site learning.
Your Experience And Qualifications
  • Bachelor's/master's degree in engineering (Mechanical, Industrial, Manufacturing, Electrical, or similar technical discipline).5-8 years of professional experience in a manufacturing or supply chain environment.
  • Applied AI or automation certification or demonstrated project experience applying AI to business processes (business perspective, not deep ML/coding). Proven experience facilitating workshops and driving cross-functional initiatives.
  • Strong communication skills - equally comfortable presenting plant leadership and working with operators on the floor. Familiarity with Lean, Six Sigma, or Continuous Improvement methodologies.
  • Experience with agentic AI concepts or AI-driven process redesign. Familiarity with ERP systems (SAP preferred).
  • Experience in agricultural equipment, automotive, or heavy manufacturing. Working knowledge of prompt engineering and Large Language Models (LLMs).
Your Benefits
  • Health care and wellness plans
  • Dental and vision coverage
  • 401(k) Savings Plan with company match
  • Employee Stock Purchase Plan
  • Paid holidays and paid time off
  • Health savings and flexible spending accounts
  • Life insurance and supplemental insurance plans
  • Opportunities for learning and professional development
Your Workplace

This role follows AGCO's on-site work model, with employees primarily working from an AGCO location a minimum of 4 days per week to support collaboration and teamwork.

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures, and perspectives.

AGCO is proud to be an Equal Opportunity Employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

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