Senior Director, AI Platform Engineering – Enablement

🕒 July 8

🚗 Michigan – Remote

🚗 Michigan – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ford Motor Company

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1903

📦 Logistics

💼 Consulting

📣 Marketing

💰 Post-IPO Debt on 2023-08

Logistics • Consulting • Marketing

Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.

📋 Description

• Own the cross-platform AI strategy across EPEO’s platform portfolio • Maintain an enterprise-wide view of AI positioning, deployment, usage, capability fit, gaps, and redundancies • Evaluate AI capabilities across cloud, enterprise productivity, frontier model, and emerging AI providers • Define and own a one-to-three-year cross-platform AI strategy roadmap • Identify opportunities to automate, augment, or fundamentally re-architect platform operations with AI • Drive activation and adoption of AI capabilities across platform organizations • Partner with Platform Engineering, Developer Experience, Employee Experience, Foundational Platform, and Digital Core Platforms • Build and govern the AI portfolio framework, including investment categorization, fit evaluation, value measurement, and executive reporting • Establish AI governance covering model selection, acceptable use, data classification, and risk guardrails • Own AI FinOps, including consumption visibility, cost attribution, efficiency tracking, ROI reporting, budget governance, and spend forecasting • Ensure AI enablement meets security, compliance, intellectual property, and responsible-use standards • Partner with CISO, Legal, and Compliance on AI risk management • Lead strategic AI vendor relationships at the technical, architecture, and roadmap levels • Evaluate emerging models, agentic frameworks, and AI infrastructure patterns • Manage the AI provider portfolio, including concentration risk, capability overlap, and investment sequencing • Build executive alignment through strategy recommendations, business cases, investment prioritization, and platform health reporting • Represent AI platform strategy at leadership forums, industry events, and vendor discussions • Translate AI developments, vendor signals, market developments, and internal data into actionable direction

🎯 Requirements

• Bachelor's Degree or equivalent • 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 • Demonstrated experience assessing and rationalizing AI portfolios at enterprise scale • Hands-on background in cloud platform architecture sufficient to evaluate AI capabilities at the architectural level • Experience designing or governing enterprise AI governance, FinOps, and enablement frameworks from the ground up • Strong understanding of LLM architecture, agentic patterns, RAG, multi-model orchestration, and AI infrastructure primitives at enterprise scale • Ability to combine technical credibility with strategic leadership and drive organizational change through influence • Ability to operate in senior leadership strategy and investment discussions and deep technical and architectural conversations • Proven ability to maintain a multi-year strategic view while responding to a rapidly evolving AI landscape • Experience leading in large, matrixed engineering organizations with 5,000+ engineers • Intellectual curiosity about the AI frontier, including following research and engaging vendors at the technical level • Track record of managing strategic AI vendor relationships with hyperscalers and AI-native companies at the architecture and roadmap level • Experience in a Fortune 500 or large-scale enterprise environment with complex regulatory, compliance, and security requirements • Demonstrated ability to build business cases 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 • Must be legally authorized to work in the United States • Visa sponsorship is not available

🏖️ 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 • Family building benefits including adoption and surrogacy expense reimbursement • Fertility treatments • Vehicle discount program for employees and family members • Management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • Generous schedule of paid holidays, including the week between Christmas and New Year’s Day • Paid time off • Option to purchase additional vacation time