Staff/Senior Staff Software Engineer, Enterprise AI Enablement

Role Description

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.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience.
• Staff: Minimum 8 years of software engineering experience or comparable depth of experience.
• Senior Staff: Minimum 10 years of software engineering experience or comparable depth of experience.
• Experience in the lead role overseeing technical direction of a team of software engineering talent across multiple applications.
• Strong understanding and use of one or more object-oriented programming languages and design patterns.
• Practical experience in data modeling, design and messaging.
• Experience working on mission-critical enterprise class applications.
• High ownership and ability to operate in ambiguous environments with a strong bias for action.
• Demonstrated ability to coach and mentor less experienced team members.
• Willingness to participate in an on-call rotation.

Requirements

• Advanced understanding of IDEs, have the ability to navigate through them quickly and leverage advanced features to improve your performance.
• Experience designing and building production AI retrieval systems (e.g. RAG, GraphRAG).
• Experience building and shipping generative AI systems in production, at scale.
• Deep expertise in operating AI systems in enterprise environments, including reliability, observability, guardrails, and compliance considerations.
• Experience building context layers for agentic systems, including multi-source blending, context window management, relevance scoring, and context quality evaluation across heterogeneous data sources.
• Experience with AI-oriented data architecture, including vector databases, embedding pipelines, feature stores, data contracts, and knowledge representation patterns such as ontologies and semantic layers.

Benefits

• Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/dental/vision and many nonstandard benefits that make us a Great Place to Work.

Company Description

Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.