Staff/Senior Staff Software Engineer, Enterprise AI Enablement

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.

Put AI to work where it changes lives: We are looking for a Staff/Senior Staff Software Engineer for our Enterprise AI Enablement team. You will architect, build and ship the AI engineering systems that use state-of-the-art AI capabilities to power our entire ecosystem – solving problems for dealers, consumers and team members. You will own these systems end to end, from the first conversation with the customer through production deployment, telemetry, and ongoing improvement.

Build for leverage: You will design tools, agents, and platform capabilities to be built once and adopted many times across the enterprise. Your goal is not one-off automation, but reusable foundations that enable us to solve new problems faster, with greater consistency and less duplicated effort.

Outcomes and Activities:

• 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.
• Sit alongside the customers, deeply understand their workflows, locate opportunities, and translate what you learn into impactful products  
• Convert ambiguous problems into production-ready solutions that are adopted across teams
• Architect, build, and deploy applied AI solutions across high-value enterprise workflows e.g. automation, document intelligence, decision support, fraud intelligence, and intelligent assistants. 
• Agent orchestration: Design and implement agentic orchestration systems that manage agent harnesses, context management, tool binding, reasoning steps, and business logic execution 
• Knowledge retrieval: Apply modern AI retrieval architectures to index, embed, and surface relevant enterprise knowledge as a foundation for agent context 
• Design and develop software and improve existing code to make it more efficient to detect bugs in the code
• Write unit-tests and validate your software against acceptance criteria
• Evolve and transform the design and architecture of applications towards leading edge technologies and practices
• Author, apply and advocate for team coding, documenting and testing standards
• Conduct impact analysis to proactively identify impact of a change across multiple applications
• Learn the business process domain to better support the business and align technologies with the business process
• Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions
• Lead code reviews and communicate application changes
• Document code and projects so others can easily understand, maintain and support
• Debug the problems which arise in production and propose effective solutions within the application and across multiple applications
• Read, write and review design documents
• Contribute to team's sprint commitments and actively participate in our Agile practices, including recommendations for process improvement
• Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge
• Participate in the talent selection process
• Act as a mentor to guide and review the code, designs and documentation of less experienced software engineers
• Senior Staff:  Act as a trusted technical advisor to senior leadership, anticipating evolving customer needs, framing risks and trade-offs, and bringing clarity to where and how AI should be applied
• Senior Staff:  Frame and drive build vs buy vs reuse decisions acr