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Ford Motor Company

Chief Engineer, AI Product Creation

Ford Motor Company

Chief Engineer leading the integration of AI tools in Ford's product development. Optimize engineering workflow and accelerate development cycles using advanced analytics.

Posted 6/10/2026full-timeDearborn • Missouri • 🇺🇸 United StatesLeadWebsite

About the role

Key responsibilities & impact
  • Lead the strategic integration of next-generation digital tools, advanced analytics, and intelligent systems across Ford’s Global Product Development System (GPDS).
  • Optimize engineering workflows, accelerate development cycles, and drive product excellence.
  • Oversee the architectural integration of AI across the entire Ford product creation lifecycle.
  • Recommend investments, and design and execute systems to optimize engineering workflows.
  • Work across active and future vehicle programs to deploy next-generation tools.

Requirements

What you’ll need
  • Bachelor’s degree in Engineering, Computer Science, Data Science, or a related quantitative technical field.
  • 10–15 years of experience in complex product development, systems engineering, or technical program management (ideally within automotive, aerospace, robotics, or high-tech hardware/software industries).
  • Proven experience leading large-scale digital transformation initiatives, specifically deploying AI, machine learning, or high-fidelity simulation technologies within a physical engineering environment.
  • Deep understanding of product development lifecycles, milestone-driven development systems, and complex hardware-software integration.
  • Master’s degree in Artificial Intelligence, Machine Learning, Engineering, or a Master's in Business Administration (MBA) preferred.
  • Hands-on experience with modern AI frameworks, physics-informed neural networks (PINNs), or industrial Digital Twin platforms (e.g., NVIDIA Omniverse, Siemens Tecnomatix, or equivalent) preferred.
  • Demonstrated experience bridging the gap between software engineers/data scientists and traditional mechanical/manufacturing engineers preferred.
  • Familiarity with generative design software, automated path planning, or predictive supply chain risk orchestration preferred.
  • Exceptional executive presence with strong presentation, verbal, and written communication skills to influence global, cross-functional stakeholders.
  • Agility and the proven ability to guide teams through highly ambiguous, fast-paced transformational journeys under tight deadlines.

Benefits

Comp & perks
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off and the option to purchase additional vacation time.

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Hard Skills & Tools
AImachine learninghigh-fidelity simulationproduct development lifecycleshardware-software integrationdigital transformationengineering workflowsadvanced analyticsphysics-informed neural networksgenerative design
Soft Skills
executive presencepresentation skillsverbal communicationwritten communicationinfluencing stakeholdersagilityteam guidanceadaptabilityproblem-solvingcross-functional collaboration
Certifications
Bachelor’s degree in EngineeringBachelor’s degree in Computer ScienceBachelor’s degree in Data ScienceMaster’s degree in Artificial IntelligenceMaster’s degree in Machine LearningMaster’s degree in EngineeringMaster’s in Business Administration (MBA)