AI & ML Leader for Battery Manufacturing (Hybrid)

Lincoln Motor Company; Dearborn (MI); Hybrid; USD 133,000 - 251,000; Full time

Benefits offered by this job

Health coverage

Parental leave

Vehicle discounts

Tuition assistance

Paid time off

Paid holidays

Job summary

Ford Energy, a Ford Motor Company subsidiary, seeks an experienced leader to own the AI roadmap for battery manufacturing, guiding pilots, scaling decisions, and coordinating with process and controls engineers to improve yield, quality and cost.

You will benchmark across Ford battery sites and external suppliers, build PoCs, set data standards, and lead a center of excellence for manufacturing AI, including vendor evaluation and IT/OT alignment.

Qualifications

• Bachelor’s degree in Engineering or CS required.
• 10+ years of experience in applied AI/ML on production or process systems.
• Expertise in multivariate and time-series data, SPC, DOE, and inline vision.
• Ability to communicate with process controls engineers and lead ML direction.

Responsibilities

• Own the AI roadmap for battery manufacturing: pilot, scale, retire; tied to yield, quality, cost, and launch speed.
• Run benchmarking across Ford battery sites and external suppliers; translate into concrete next steps.
• Build proofs of concept and reference architectures for high-value use cases: formation/aging, inline coating/defect vision, yield genealogy, predictive maintenance.
• Set data, labeling, and model standards for reuse across plants.
• Act as the center of excellence for manufacturing AI: evaluate vendors, guide embedded engineers, and align with IT/OT on security and scale.
• Apply generative and agentic AI to engineering and plant workflows where appropriate.

Skills

Applied AI leadership

Manufacturing data analytics

Time-series/ SPC analysis

Cross-functional collaboration

Education

Bachelor's in Engineering (Electrical/Mechanical) or CS

Master's in AI/CS (preferred)

Tools

LangGraph

ADK

AutoGen

MCP

Job description

Ford Energy, a Ford Motor Company subsidiary, seeks an experienced leader to own the AI roadmap for battery manufacturing, guiding pilots, scaling decisions, and coordinating with process and controls engineers to improve yield, quality and cost.

You will benchmark across Ford battery sites and external suppliers, build PoCs, set data standards, and lead a center of excellence for manufacturing AI, including vendor evaluation and IT/OT alignment.