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.

• 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.

• →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 business‑facing 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 build‑versus‑buy 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 feasibility.
• →Strong understanding of AI features and capabilities including RAG, multi-agent systems, agentic AI, LLM applications, etc.
• →Demonstrated ability to lead complex, cross‑functional initiatives without formal people management responsibility.
• →Excellent problem‑solving, analytical, and stakeholder‑communication skills, including ability to communicate value and ROI to senior leadership.
• →Comfortable operating with significant autonomy, accountability, and ambiguity.

• Experience defining metrics and KPI frameworks for AIML or data products.
• Experience implementing solutions using Databricks, Mlflow, AWS technology stack. 
• Experience owning vendor relationships, commercial negotiations, or integration design.
• Experience working in at least two of the following areas: Product, Data Science, Machine Learning, Data Engineering, Software Engineering.
• Strong working knowledge of Agile and Scrum methodologies.

• Ability to translate fuzzy business needs into both a measurable definition of success and a feasible solution shape.
• Strong systems thinking and ability to solve problems at the root cause with practical, scalable solutions.
• Strong prioritization skills and the ability to say no, when required.
• Ability to communicate complex technical and analytical information clearly and concisely, both verbally and in writing, including senior and executive leadership.
• Ability to build trust, credibility, and strong relationships across all levels of the organization.
• Proven ability to prioritize effectively and execute in a fast‑paced, high‑pressure environment.

To be successful in this role, Team Members need to be:

• Positive by maintaining resiliency and focusing on solutions
• Respectful by collaborating and actively listening
• Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
• Direct by effectively communicating and conveying courage
• Earnest by taking accountability, applying feedback and effectively planning and priority setting

• Remain compliant with our policies processes and legal guidelines
• All other duties as assigned
• Attendance as required by department