Ford

Sr. Director, AI Platform Engineering & Enablement

Ford

AI platformscloud platformsEnterprise ArchitectureAI infrastructureLLM architecturemulti-model orchestrationAI governanceFinOpsVendor Managementstrategic planning

About the Role

In this position...

This role requires a leader who brings deep technical knowledge of enterprise AI platforms and the strategic judgment to look across every platform EPEO offers — spanning leading AI and cloud platform providers — and define where AI belongs, what it should change, and how the organization gets there. This is not an operational role. It is the most forward-looking mandate in the platform organization: a cross-cutting AI strategy and enablement function with authority across all platform organizations.

The Senior Director, AI Platform Engineering & Enablement brings two equally weighted mandates. On the engineering side, this leader applies deep technical judgment to evaluate, architect, and govern how AI capabilities are integrated across EPEO’s platform portfolio — ensuring what is deployed is the right capability, properly engineered, and fit for the business functions it serves. On the enablement side, this leader ensures AI capabilities from our major providers are not just procured but actively activated, governed, and embedded into how our platforms operate. This person does not wait for the organization to ask what AI can do. They already know, and they have a plan.



You'll have...

 

AI Platform & Technical Expertise

  • 12+ years of experience in technology, including significant hands-on platform strategy, enterprise architecture, or AI infrastructure leadership

  • Deep working knowledge of the enterprise AI provider landscape across leading cloud platforms, enterprise AI assistant and productivity platforms, and frontier AI model providers — able to evaluate technical capabilities and architectural fit, not just vendor positioning

  • Demonstrated experience assessing and rationalizing AI portfolios at enterprise scale — you have looked across a large organization’s AI landscape, identified what belongs and what doesn’t, and made recommendations that were acted on across business functions

  • Hands-on background in cloud platform architecture sufficient to evaluate AI capabilities at the architectural level — not just vendor positioning

  • Experience designing or governing enterprise AI governance, FinOps, and enablement frameworks from the ground up — not inheriting and maintaining, but building and standing up

  • Strong understanding of LLM architecture, agentic patterns, RAG, multi-model orchestration, and AI infrastructure primitives at enterprise scale

Leadership Profile

  • A strategically-oriented leader who combines technical credibility with the ability to drive organizational change through influence

  • Comfortable operating at both extremes:

    • Senior leadership strategy and investment discussions spanning technology, business functions, and enterprise priorities

    • Deep technical and architectural conversations with platform engineering and vendor engineering teams 

  • Proven ability to operate with a long time horizon in an environment where the technology changes quarterly — holding a multi-year strategic view while remaining responsive to a rapidly evolving AI landscape

  • Experience leading in large, matrixed engineering organizations (5,000+ engineers) where influence without direct authority is the primary mode of getting things done

  • Genuine intellectual curiosity about the AI frontier — you follow research, engage vendors at the technical level, form independent views, and are rarely surprised by what ships

  • Track record of managing strategic AI vendor relationships with hyperscalers and AI-native companies at the architecture and roadmap level

Enterprise Context

  • Experience in a Fortune 500 or large-scale enterprise environment with complex regulatory, compliance, and security requirements

  • Demonstrated ability to build the business case for multi-million dollar AI platform investments and present to C-suite and board-level stakeholders

  • Background in cloud platform engineering, enterprise architecture, or a CTO-adjacent strategy role strongly preferred — credibility in this role requires having built the platforms you are now strategizing about

 

 

 

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 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. 
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 herehttps://fordcareers.co/LL4Benefits


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.

#LI-Remote #LI-WC2 
 

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Job Details

Salary

Not disclosed

Location

United States - Dearborn MI

Job type

Full-time

Category

AI Engineering

Experience

12+ years

Posted

6 days ago

Job Highlights

  • 12+ years level role
  • 100% Remote — open to candidates in United States
  • Full-time position

About Ford

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Remote Work Style

Mixed

Mix of flexible and scheduled meetings

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