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Credit Acceptance

Staff AIML Solutions Engineer

Credit Acceptance

. Serve as the single point of contact to the business for assigned AI/ML domains .

Posted 10/23/2026full-timeUnited StatesLead💰 $184,512 - $258,317 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI and Machine Learning concepts, technical product management, and solution ownership, with a strong ability to translate business needs into actionable product roadmaps and measurable success criteria. Proficient in leading cross-functional initiatives and making informed build-versus-buy decisions while ensuring compliance with policies and legal guidelines.

Highest-signal resume keywords
AI And Machine Learning ConceptsTechnical Product ManagementPython ProficiencySQL ProficiencyStakeholder Communication

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Product Roadmap DevelopmentSolution Lifecycle ManagementKPI Establishment And AnalysisProblem FramingVendor EvaluationIntegration DesignProof-Of-Concept ScopingData AnalyticsSystem DesignAI Features And Capabilities
Soft Skills
Problem-SolvingAnalytical SkillsCommunication SkillsAutonomyAccountability
Industry Keywords
Financial ServicesAI/ML ProductsBusiness-Facing SolutionsData ProductsCouncil For Higher Education Accreditation

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & 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 by framing business problems, sizing opportunities, and validating need and feasibility
  • Own product roadmap and prioritization
  • Define measurable success criteria, KPIs, product vision, and roadmap
  • Translate business problems into solution direction, technical specifications, and delivery plans with AI/ML Engineering and AI/ML Science teams
  • Own build-versus-buy recommendations, 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, translating findings into roadmap and re-solutioning work
  • Make vendor renewal and true-up decisions
  • Establish, monitor, and analyze KPIs to evaluate effectiveness and drive improvement
  • Advise business and technology leadership using expertise, data, and clear communication
  • Remain compliant with policies, processes, and legal guidelines
  • Perform other duties as assigned
  • Attend as required by the department

Requirements

What you’ll need
  • 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
  • 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
  • Comfortable 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 have been earned at accredited institutions of higher education recognized by the Council for Higher Education Accreditation or equivalent

Benefits

Comp & perks
  • Annual variable incentive of cash and equity between 10–20% of base salary
  • 401(K) match
  • Adoption assistance
  • Parental leave
  • Tuition reimbursement
  • Comprehensive medical, dental, and vision benefits
  • Two work-from-home days per week
  • Many nonstandard benefits
  • Inclusive work environment