AIML Solutions Engineer

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation.

Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact.

• 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 buildversusbuy recommendation for assigned solutions, with a defensible rationale; lead vendor evaluation, commercial input, integration design, and proofofconcept 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 resolutioning work, including vendor renewal and trueup 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.

• 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 leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions.
• One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.
• Owner's Mindset:
  Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.

• Bachelor's degree in computer science, Engineering, Business, Data Science, Artificial Intelligence, Data Analytics or a related field (Master's degree preferred).
• 8+ years of experience in technical product management, solution ownership, or businessfacing solution roles, preferably within financial services, and including AI/ML or data products.
• Strong understanding of AI and machine learning concepts and system design, ability to set realistic expectations, and make defensible buildversusbuy decisions.
• Demonstrated ability to own a product outcome end to end, from problem framing through launch and post launch monitoring.
• Working proficiency with Python, system design and SQL sufficiently to engage credibly with technical teams and reason about…