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About the Role

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. 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.

Responsibilities

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
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
Frame and drive build vs buy vs reuse decisions across the portfolio

Requirements

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
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
Ability to challenge the status quo and influence stakeholders to create innovative solutions
Be collaborative with other team members, seeking a diversity of thought to meet business outcomes
Ability to foster strong relationships across the organization
Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day
Experience and understanding of how to connect the work being done and how it drives business value
Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership
Remain compliant with our policies processes and legal guidelines
All other duties as assigned
Attendance as required by department

Skills

Object-oriented programming
Design patterns
Data modeling
Design
Messaging
AI retrieval systems
Generative AI systems
Enterprise AI systems
Agentic systems
AI-oriented data architecture
Vector databases
Embedding pipelines
Feature stores
Data contracts
Knowledge representation
Ontologies
Semantic layers
Communication
Agile practices

Location

Work from home
Southfield, Michigan

Work Type

Work from home
On-site
Hybrid

Experience Level

Staff
Senior Staff

Education Level

Bachelor’s degree in Computer Science, Information Systems, or closely related field of study
Equivalent work experience

Salary/Compensations

Staff: A competitive base salary range from $154,837 to $227,095. This position is eligible for an annual variable bonus of cash and equity, between 10-20%.
Senior Staff: A competitive base salary range from $182,601 to $267,814. This position is eligible for an annual variable bonus of cash and equity, between 15-30%.
Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego.

Benefits

401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical/ dental/vision
Many nonstandard benefits
Company provided technology packages
Generous PTO and holidays that include 27.5 total days during first full year of employment

About the Company

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.
Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success.
Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance.
We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions.
We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!
At Credit Acceptance, we celebrate what makes each of us unique.
We want every Team Member to feel comfortable bringing their authentic self to work — because diverse perspectives make us stronger.
Our inclusive culture and flexible opportunities help each person find the right balance between work and life, in a way that fits them best.

Equal Opportunity

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.
California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.