Director, AI Transformation Architect

Ford Motor CompanyDearborn, MI

About The Position

Integrated Services, including the Digital Product team at Ford, is undergoing an exciting evolution as we accelerate how we create, launch and go-to-market with leading digital experiences for customers inside and outside of the vehicle. Central to this acceleration is our ability to strategically and responsibly use AI, automation and intelligent workflows to fundamentally transform how we operate across Integrated Services organization and the Ford enterprise, including digital product management, vehicle development and planning, Project Management Office (PMO) and go-to-market. In this position, reporting to the Global Head of Digital Product, Integrated Services, the AI Transformation Architect is a hands-on builder and transformation leader responsible for identifying, redesigning and scaling how Ford’s Integrated Services organization ideates, assess, plans and executes our work by embedding AI into the highest-value workflows to improve speed, quality, decision-making, and customer impact across the team. This role sits at the intersection of product management, engineering, operations/PMO, vehicle development and cycle planning, and business teams, translating high-friction workflows into practical, AI-enabled systems that help us deliver better experiences faster and create leverage for the organization and our internal partners. The ideal candidate is deeply technical, highly pragmatic – they must understand how AI agents work, how to configure and extend them, and how to apply them in real-world enterprise contexts. This role partners closely with Integrated Services leadership, as well as functional leaders across the enterprise (Security, Office of General Counsel, Privacy, Enterprise Technology, etc.) to ensure AI-enabled workflows are built responsibly, governed appropriately, and scaled with confidence. This person should be comfortable working with tools and patterns such as APIs, retrieval, workflow orchestration, evaluations, agent instructions, skill creation and human-in-the-loop flows. Familiarity with MCPs, CLIs, and AGENT.md-style configurations patterns is a plus, but the primary requirement is fluency in how modern AI-enablement workflows are built, deployed, governed and scaled. The ideal candidate will have a deep understanding of how teams work effectively in large, matrixed organizations across the hardware + software + customer experience loop, how to influence change in these organizations, and how to turn new capabilities into measurable business and customer impact. This is a hands-on transformation role: the person will build and prototype directly, but success will be measured by scaled adoption, durable workflow change, and measurable improvement in how the Integrated Services organization operates.

Requirements

  • Deeply technical and highly pragmatic.
  • Understand how AI agents work, how to configure and extend them, and how to apply them in real-world enterprise contexts.
  • Comfortable working with tools and patterns such as APIs, retrieval, workflow orchestration, evaluations, agent instructions, skill creation and human-in-the-loop flows.
  • Fluency in how modern AI-enablement workflows are built, deployed, governed and scaled.
  • Deep understanding of how teams work effectively in large, matrixed organizations across the hardware + software + customer experience loop.
  • Ability to influence change in these organizations.
  • Ability to turn new capabilities into measurable business and customer impact.

Nice To Haves

  • Familiarity with MCPs, CLIs, and AGENT.md-style configurations patterns.

Responsibilities

  • Identifying, redesigning and scaling how Ford’s Integrated Services organization ideates, assess, plans and executes our work by embedding AI into the highest-value workflows to improve speed, quality, decision-making, and customer impact across the team.
  • Translating high-friction workflows into practical, AI-enabled systems that help us deliver better experiences faster and create leverage for the organization and our internal partners.
  • Partnering closely with Integrated Services leadership, as well as functional leaders across the enterprise (Security, Office of General Counsel, Privacy, Enterprise Technology, etc.) to ensure AI-enabled workflows are built responsibly, governed appropriately, and scaled with confidence.
  • Building and prototyping directly.
  • Driving scaled adoption, durable workflow change, and measurable improvement in how the Integrated Services organization operates.
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