Credit Acceptance
Director AI Engineering Platform
USA - Remote · Director
Sponsorship not specified$218k-$319kDetected 22 days ago
ExpressDistributed SystemsDatabricksAWSCI/CDPlatform EngineeringMachine LearningLLMsAgentic AIA/B TestingBudgetingLeadershipCommunicationMentoring
About the role
- 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.
Responsibilities
- Shared goals, open communication and mutual support create a sense of collective purpose.
- Train team members and focus on developing talent
- Performance Manage by ensuring accountability and driving results
- Create the Right Environment by establishing trust and managing conflict
- Maintain the Right Number of team members needed to build an effective team
Requirements
- Minimum 5+ years in senior leadership roles managing managers and large technical organizations.
- Proven delivery of production-grade platform capabilities at enterprise scale, ideally including AI engineering platforms, developer platforms, or distributed infrastructure platforms.
- Experience working in or partnering with AI/ML organizations, with clear understanding of where AI engineering platform ends and AI/ML platform begins.
- Ability to influence executives and guide strategic decisions.
- Experience with budgeting, resource planning, and scaling organizations.
- Demonstrated ability to communicate complex technical concepts clearly and compellingly.
- Knowledge and Skills
- Deep knowledge of the modern AI engineering stack, including LLM APIs, AI gateways (e.g., LiteLLM, Portkey, Traefik AI Gateway), MCP, agentic frameworks, evaluation tooling, and AI observability.
- Experience designing and operating production‑grade, distributed systems with high reliability, security, and scalability requirements.
- Working knowledge of governance, risk, and compliance considerations for enterprise AI systems.
Nice to have
- BS in Computer Science, Engineering, or related field with 12+ years in software engineering, with significant time in platform, infrastructure, or developer tooling roles.
- Strong working knowledge of cloud-native platform engineering practices (AWS preferred), including CI/CD, observability, security, and FinOps for AI workloads.
Compensation
- A competitive base salary range from $217,623 - $319,180.
- This position is eligible for an annual variable bonus of cash and equity, between 20-60%.
- Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.
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
- To create an environment where people do their best work, we focus on the dimensions of Organizational Health.
Company info
- To be successful in this role,
- Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business.
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This listing is sourced directly from Credit Acceptance's careers page and normalized into a canonical job model.