Staff AIML Solutions Engineer

Credit Acceptance Corporation • San Francisco, CA

3d • Hybrid

About The Position

Credit Acceptance is seeking a Staff AIML Solutions Engineer to serve as the business-facing owner for assigned AI/ML domains. The role connects business needs with AI/ML solution direction, partnering with AI/ML Engineering and Science teams to shape technical specifications and delivery plans. The position owns assigned solutions throughout their lifecycle—from discovery and problem framing through delivery, adoption, and continuous improvement—and helps ensure the portfolio is focused on measurable business value.

This role works with business and technology leadership to identify opportunities, assess feasibility, prioritize a product roadmap, and make defensible build-versus-buy recommendations. It also monitors operational signals such as cost, quality, and usage, using them to guide roadmap updates and solution improvements. The position follows a hybrid work model with two work-from-home days and three 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, including the 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 in 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 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.
• Required degrees must be earned at institutions of higher education accredited by the Council for Higher Education Accreditation or equivalent.
• Ability to translate ambiguous business needs into measurable success definitions and feasible solution shapes.
• Strong systems thinking and ability to solve problems at the root cause with practical, scalable solutions.
• Strong prioritization skills, including the 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 organizational levels.
• Proven ability to prioritize effectively and execute in a fast-paced, high-pressure environment.
• Remain compliant with company policies, processes, and legal guidelines.

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 primary point of contact to the business for assigned AI/ML domains; understand business needs, identify opportunities, and define solution direction.
• Lead discovery by framing business problems, sizing opportunities, and validating need and feasibility before committing to solutions.
• Own and prioritize the product roadmap, demonstrating the value of what the organization should and should not pursue.
• Define measurable success criteria, KPIs, product vision, and roadmap.
• 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 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 findings into roadmap updates and re-solutioning 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, influence decisions through expertise, data, and clear communication, and keep the roadmap focused on value.
• Perform other duties as assigned and meet attendance requirements as required by the department.

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