Job description

We are the movers of the world and makers of the future. We get up every day, roll up our sleeves, and build a better world – together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? 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. What you'll do... • Transform the Integrated Services Product Team Operating Model: Identify, redesign, and scale AI-enabled workflows across discovery, customer research, Product Requirement Document (PRD) roadmaps, prioritization, launch readiness, executive reviews, analytics, PMO, go-to-market, and post-launch learning. • Build AI Agents, Automation and Infrastructure: Create, configure, test, and maintain AI agents, tools, workflows, and integrations using APIs, retrieval, orchestration, agent instructions, approved AI platforms, enterprise systems, and related technical patterns. • Prototype, Pilot and Scale: Rapidly prototype with real users, validate workflow fit, identify failure modes, and move successful solutions from idea to prototype to pilot to scaled adoption, working through technical, operational, security, privacy, and change-management barriers. • Create Reusable Capabilities and Playbooks: Build repeatable agents, templates, standards, workflows, and best practices for common product, PMO and GTM work, including customer insight synthesis and journey mapping, requirement generation, PRD review, competitive analysis, roadmap tradeoffs, launch planning and execution, risk reviews, business case development, and executive communication. • Measure Impact: Define and track outcomes tied directly to business and customer value creation, including adoption, time saved, cycle-time reduction, decision speed, employee experience, quality improvements, rework reduction, revenue generation and business or customer outcomes from AI enabled workflows. • Drive Adoption and Behavior Change: Train teams, coach leaders, create champions, document best practices, and make AI-enabled workflows easy, safe and useful enough to become the default way of working. • Establish Quality, Governance and Trust: Partner with security, legal, privacy, IT, PMO, go-to-market and engineering to ensure workflows are secure, compliant, auditable, explainable, and appropriate for enterprise use. • Design Human-In-The-Loop Systems: Define where AI should act independently, where humans must review or approve, and how teams should manage risk, quality and accountability in AI-enabled workflows. • Increase Leverage: Identify and automate repetitive, manual, duplicative, or low-value work so teams can spend more time on customer insight, product judgment, and execution. • Evaluate Emerging AI Patterns: Stay current on AI agent frameworks, tooling, security models, governance practices, workflow automation approaches, and enterprise patterns, then translate the most practical opportunities into Ford use cases. You'll have... • Strong technical fluency and a hand-on builder mindset, with familiarity across modern AI workflow patterns including APIs, retrieval, agent instructions, orchestration, evaluations, and human-in-the-loop flows. • Experience building AI-enabled workflows, automations, internal tools, or agent-based systems that were adopted by real users, not just prototypes. • Strong product management fluency including discovery, customer research, PRDs, roadmaps, prioritization, launch readiness, stakeholder alignment and product analytics • Experience redesigning knowledge-work workflows or operating models at team or enterprise scale. • Ability to rapidly prototype, test with users, measure outcomes, and iterate. • Comfort working within enterprise constraints, including security, privacy, legal, IT, data access, and governance. • Ability to influence cross-functional teams and drive adoption without relying solely on formal authority. • Strong communication, documentation, training, storytelling, and collaboration skills, with the ability to bring skeptical teams along. Even better, you may have... • Experience in automotive, digital product, software, platform, or large-scale enterprise organizations. • Enterprise implementation experience, especially in environments with security, privacy, identify, legal, compliance, procurement, IT and data-access constraints. • Experience creating training, enablement, champion networks and reusable playbooks for scaled adoption. • Background in workflow automation, developer tools, internal tooling, product operations, design operations, or AI enablement. • Experience building tools for teams rather than only consumer-facing applications. • Experience evaluating AI platforms, vendors, agent frameworks, and emerging enterprise AI tooling. • Understanding of AI safety, data governance, access control, auditability, and responsible AI practices. • Experience working with product, engineering, design, analytics, business operations, legal, security, and IT teams in a complex matrixed environment. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • 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. This position is a leadership level 4. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: fordcareers.co Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. This position is hybrid (onsite four days per week) for candidates who are in commuting distance to a Ford hub location or remote for non-local candidates. #LI-Hybrid #LI-WC2

Requirements

Must-haves

In this position...
What you'll do...
Drive Adoption and Behavior Change: Train teams, coach leaders, create champions, document best practices, and make AI-enabled workflows easy, safe and useful enough to become the default way of working.
Establish Quality, Governance and Trust: Partner with security, legal, privacy, IT, PMO, go-to-market and engineering to ensure workflows are secure, compliant, auditable, explainable, and appropriate for enterprise use.
Design Human-In-The-Loop Systems: Define where AI should act independently, where humans must review or approve, and how teams should manage risk, quality and accountability in AI-enabled workflows.
Increase Leverage: Identify and automate repetitive, manual, duplicative, or low-value work so teams can spend more time on customer insight, product judgment, and execution.
You'll have...
Strong technical fluency and a hand-on builder mindset, with familiarity across modern AI workflow patterns including APIs, retrieval, agent instructions, orchestration, evaluations, and human-in-the-loop flows.
Experience building AI-enabled workflows, automations, internal tools, or agent-based systems that were adopted by real users, not just prototypes.
Strong product management fluency including discovery, customer research, PRDs, roadmaps, prioritization, launch readiness, stakeholder alignment and product analytics
Experience redesigning knowledge-work workflows or operating models at team or enterprise scale.
Ability to rapidly prototype, test with users, measure outcomes, and iterate.
Comfort working within enterprise constraints, including security, privacy, legal, IT, data access, and governance.
Ability to influence cross-functional teams and drive adoption without relying solely on formal authority.
Strong communication, documentation, training, storytelling, and collaboration skills, with the ability to bring skeptical teams along.
Even better, you may have...
Experience in automotive, digital product, software, platform, or large-scale enterprise organizations.
Enterprise implementation experience, especially in environments with security, privacy, identify, legal, compliance, procurement, IT and data-access constraints.
Experience creating training, enablement, champion networks and reusable playbooks for scaled adoption.
Background in workflow automation, developer tools, internal tooling, product operations, design operations, or AI enablement.
Experience building tools for teams rather than only consumer-facing applications.
Experience evaluating AI platforms, vendors, agent frameworks, and emerging enterprise AI tooling.
Understanding of AI safety, data governance, access control, auditability, and responsible AI practices.
Experience working with product, engineering, design, analytics, business operations, legal, security, and IT teams in a complex matrixed environment.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

goai

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Parental Leave