Staff AIML Solutions Engineer

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.

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! Staff AI/ML Solutions Engineer is a senior individual contributor within the AI/ML organization, accountable end-to-end for AI/ML products across the auto lending ecosystem from the business problem and its prioritization through the solution design, recommending build versus buy decision, and the realized value. This role operates at the intersection of business, product, engineering, and AI/ML, and serves as the single point of contact to the business for their assigned domains. The Staff AI ML Solutions Engineer partners closely with stakeholders across Business Operations, ML Engineering, Platform Engineering, Data Science, AI Operations, Analytics, and Marketing. Outcomes and Activities: 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. Serve as the single point of contact to the business for assigned AI/ML domains; understand business needs, identify AI/ML opportunities, and define solution direction. Lead discovery: frame the business problem, size the opportunity, and validate the need and feasibility before committing to a solution. Own the product roadmap and its prioritization, making and demonstrating value in what the organization should and should not pursue. Define success in measurable terms, the KPIs and the vision and roadmap per‑product. Translate framed problems into clear solution direction, technical specifications, and delivery plans in partnership with AI/ML Engineering and AI/ML Science teams. Own the build‑versus‑buy recommendation for assigned solutions, with a defensible rationale; lead vendor evaluation, commercial input, integration design, and proof‑of‑concept scoping. Own the solution lifecycle from problem framing through delivery, adoption, and continuous improvement. Continually analyze operational signals from AI Operations viz. cost, quality, and usage and translate them into the roadmap and re‑solutioning work, including vendor renewal and true‑up decisions. Establish, monitor, and analyze KPIs to evaluate effectiveness and drive iterative improvement. Act as a trusted advisor to business and technology leadership, influencing decisions through expertise, data, and clear communication, and protecting the roadmap from being captured by what is technically interesting rather than valuable. Competencies : The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought