Staff AIML Solutions Engineer

Credit Acceptance Corporation • San Francisco, CA

6d • Hybrid

About The Position

Credit Acceptance is seeking a Staff AIML Solutions Engineer to help advance its business through technology, data, AI, and continuous improvement. The role serves as the primary business contact for assigned AI/ML domains, identifying opportunities and defining solution direction. It owns discovery, product roadmaps, prioritization, measurable success criteria, and the solution lifecycle from problem framing through delivery, adoption, and continued improvement.

The position partners with AI/ML Engineering and AI/ML Science teams to turn business problems into solution direction, technical specifications, and delivery plans. It also owns build-versus-buy recommendations and related vendor evaluation, commercial input, integration design, and proof-of-concept scoping. The role uses operational signals such as cost, quality, and usage to guide roadmap changes, solution redesign, vendor renewals, and ongoing improvement. It advises business and technology leaders, using expertise, data, and clear communication to guide decisions toward valuable outcomes.

The position follows a hybrid work model: two work-from-home days and three standard in-office days each week. Candidates must reside in or be willing to relocate to the greater Southfield, Michigan area; greater Bellevue, Washington area; or San Francisco Bay Area, California.

Requirements

• Bachelor’s degree in computer science, Engineering, Business, Data Science, Artificial Intelligence, Data Analytics, or a related field.
• At least 8 years of experience in technical product management, solution ownership, or business-facing solution roles, preferably in financial services and including AI/ML or data products.
• Strong understanding of AI and machine learning concepts and system design, with the ability to set realistic expectations and make defensible build-versus-buy decisions.
• Demonstrated ability to own product outcomes end to end, from problem framing through launch and post-launch monitoring.
• Working proficiency with Python, system design, and SQL sufficient to engage credibly with technical teams and reason about feasibility.
• Strong understanding of AI features and capabilities, including RAG, multi-agent systems, agentic AI, and LLM applications.
• Demonstrated ability to lead complex, cross-functional initiatives without formal people-management responsibility.
• Excellent problem-solving, analytical, and stakeholder-communication skills, including the ability to communicate value and ROI to senior leadership.
• Comfort operating with significant autonomy, accountability, and ambiguity.
• Must reside in or be willing to relocate to the greater Southfield, Michigan area; greater Bellevue, Washington area; or San Francisco Bay Area, California.
• Ability to translate unclear business needs into measurable success definitions and feasible solution shapes.
• Strong systems thinking and ability to solve problems at their root cause with practical, scalable solutions.
• Strong prioritization skills and ability to say no when required.
• Ability to communicate complex technical and analytical information clearly and concisely, verbally and in writing, including to 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.
• Required degrees must be from institutions of higher education accredited by the Council for Higher Education Accreditation or equivalent.

Nice To Haves

• Master’s degree.
• Experience defining metrics and KPI frameworks for AI/ML or data products.
• Experience implementing solutions using Databricks, MLflow, or the 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, or Software Engineering.
• Strong working knowledge of Agile and Scrum methodologies.

Responsibilities

• Serve as the single point of contact to the business for assigned AI/ML domains, understanding business needs, identifying opportunities, and defining solution direction.
• Lead discovery by framing business problems, sizing opportunities, and validating need and feasibility before committing to a solution.
• Own and prioritize the product roadmap, demonstrating value and determining what the organization should and should not pursue.
• Define measurable success criteria, KPIs, product vision, and product roadmaps.
• Translate framed problems into solution direction, technical specifications, and delivery plans in partnership with AI/ML Engineering and AI/ML Science teams.
• Own build-versus-buy recommendations and provide 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.
• Analyze AI Operations signals, including cost, quality, and usage, and translate them into roadmap and solution redesign work, including vendor renewal and true-up decisions.
• Establish, monitor, and analyze KPIs to evaluate effectiveness and drive iterative improvement.
• Advise business and technology leadership, influencing decisions through expertise, data, and clear communication.
• Protect the roadmap from being driven by technical interest rather than business value.

Benefits

• 401(k) match
• Adoption assistance
• Parental leave
• Tuition reimbursement
• Comprehensive medical, dental, and vision coverage
• Other nonstandard benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior