Hybrid Senior Manager – AI Engineering

at Ford Motor Company

• Job title: Senior Manager – AI Engineering
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Python
• Location requirements: Hybrid, Dearborn, United States

About the role

• Senior Manager driving Ford's AI strategy and engineering. Leading cross-functional teams in delivering enterprise-grade AI products and services in Dearborn.

Responsibilities

• Define and communicate the AI roadmap aligned with FCSD’s strategic priorities.
• Build and mentor world-class AI teams, fostering innovation and technical excellence.
• Engage directly in solution design, model development, and deployment to ensure scalability and reliability.
• Collaborate with business and technology stakeholders to integrate AI into core offerings and deliver measurable outcomes.
• Own end-to-end delivery of AI products and services, from concept to production, in partnership with Product, Engineering, and cross-functional teams.
• Influence product direction through data-driven insights and compelling executive presentations.
• Ensure rapid iteration and deployment while maintaining quality and reliability at scale.
• Build and scale the AI Engineering practice, setting standards for architecture, MLOps, and software engineering rigor.

Requirements

• Bachelor’s Degree Data Science, Predictive Analytics, Statistics, AI, Applied Mathematics, Computer Science or in a related field
• Delivery Leadership: Seasoned leader in Generative AI and Agentic AI applications, with proven experience delivering and scaling multiple AI solutions in production environments.
• Technical Expertise: 5+ years of hands-on experience with AI/ML and data science software (e.g., Python-based tools), including Generative AI or Agentic AI.
• 4+ years acting as senior technical lead, facilitating solution tradeoff discussions for new AI feature implementations.
• Experience using cloud platforms (Azure, AWS, or GCP) and enterprise AI platforms.
• Demonstrated proficiency in Gen AI technologies and modern ML frameworks.
• Leadership & Team Development: 4+ years leading and managing direct reports.
• Proven ability to hire, grow, and mentor high-performing AI and Data Science teams.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care 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.