Director AI Engineering Platform

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Additional Information

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! As the Director, AI Engineering Platform, you will provide leadership for Credit Acceptance's AI engineering platform, including strategy, architecture, delivery, governance, and operations. This role is accountable for aligning AI engineering capabilities with enterprise engineering needs, security and risk requirements, cost discipline, and long term technology direction. The Director, AI Engineering Platform owns the vision and execution of foundational AI platform capabilities that enable software engineering teams to build with and alongside AI safely, productively, and at scale. This role leads a high performing platform organization and partners closely with Platform & Tools, AI/ML, Security, Infrastructure, and engineering leaders to drive operational excellence, responsible AI adoption, developer productivity, and sustainable innovation. Outcomes and Activities Strategic Leadership This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member. Define and communicate the vision for Credit Acceptance's AI engineering platform: the foundation that enables software engineering teams to build with and alongside AI safely, productively, and at scale. Partner closely with the CTO, VP Platform & Tools, the AI/ML organization, peer directors, and engineering leaders to prioritize platform investments and align AI engineering tooling to enterprise outcomes. Own the multi-year roadmap, usage strategy, and cost discipline for how AI capabilities are used across all of Credit Acceptance, including engineering, product, sales, and other functions, regardless of underlying platform (e.g., AWS, Microsoft, Databricks). This includes AI gateway and model access, MCP infrastructure, agentic development tooling, AI-assisted coding, evaluation frameworks, and governance, partnering with the FinOps practice on spend visibility and policy-driven cost controls for AI workloads. Execution and Delivery Own the multi-year roadmap, usage strategy, and cost discipline for how AI capabilities are used across all of Credit Acceptance, including engineering, product, sales, and other functions, regardless of underlying platform (e.g., AWS, Microsoft, Databricks). This includes AI gateway and model access, MCP infrastructure, agentic development tooling, AI-assisted coding, evaluation frameworks, and governance, partnering with the FinOps practice on spend visibility and policy-driven cost controls for AI workloads. Enable software engineering teams across Credit Acceptance to build AI‑powered features and adopt AI‑assisted and agentic development practices through scalable, self‑service platform capabilities. Partner with the AI/ML organization and Platform Engineering to define platform boundaries, integrate shared infrastructure (e.g., AI gateway, model access, evaluation tooling), and deliver coherent, non‑duplicative solutions integrated into Expressway and developer golden paths. Drive production‑grade system design and delivery practices, evolving CI/CD pipelines to support AI‑generated code, agentic workflows, AI‑aware validation, policy‑as‑code, and progressive delivery patterns. Innovation and Thought Leadership Champion adoption of modern AI engineering practices across the software engineering organization, including agentic systems, model context protocol (MCP), AI-assisted development, and emerging patterns in enterprise AI engineering. Drive responsible enterprise AI practices for the engineering domain, including access controls, evaluation, cost transparency, and safe usage patterns appropriate to Credit Acceptance's regulatory and risk environment. Build a culture of experimentation, measurement, and continuous improvement in how AI creates leverage for software engineering and for the products engineering ships. Team Leadership and

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