Director, Generative AI & Platform

Credit Acceptance • Baraga Township, MI

2d • Remote

About The Position

Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally. 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! The AIML Director is a senior technology leader responsible for defining and driving the enterprise strategy across AI, Machine Learning, and Generative AI. This role owns the long term roadmap for AI/ML solutions, platforms, models, and engineering capabilities. The Director will lead a high-performing organization across data science, machine learning engineering, or GenAI/platform engineering (depending on assignment), ensuring scalable, secure, and innovative solutions that deliver measurable business impact. The Director operates as a cross-functional thought leader, partnering with Product, Engineering, Analytics, Infrastructure, and executive stakeholders to advance the company’s AI maturity and accelerate responsible, value-oriented AI adoption. 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.

Requirements

• PhD in Computer Science, AI, or related field with 10+ years in AI/ML engineering (preferred); or MS with 12+ years of experience.
• Minimum 5 years in senior leadership roles managing managers and large engineering teams.
• Proven track record in building enterprise level production-grade GenAI platforms and services and strong problem-solving skills
• In-depth knowledge and hands-on experience with LLM fine-tuning, model optimization, context graphs, automation, and advanced prompting strategies
• Deep knowledge of LLM lifecycle tools, distributed systems, and cloud-native architectures.
• Architect and implement enterprise-grade LLM-powered solutions, managing the full lifecycle from business requirements to production deployment, monitoring, and continuous optimization
• Design and develop multi-agent GenAI systems using state-of-the-art frameworks (LangChain, LlamaIndex) to orchestrate complex workflows across retrieval augmentation, data operations, and compliance verification
• Engineer robust Retrieval Augmented Generation (RAG) pipelines incorporating advanced techniques such as hybrid retrieval, reranking, query expansion, and contextual compression
• Implement parameter-efficient fine-tuning strategies (LoRA, QLoRA, PEFT) to adapt foundation models to domain-specific use cases while optimizing for inference costs and latency
• Develop intelligent routing and orchestration systems to manage conversation state across multiple specialized AI agents, ensuring seamless transitions between different system capabilities
• Build evaluation frameworks to measure and improve LLM performance across diverse metrics, including factuality, coherence, task completion, and alignment with business objectives
• Integrate LLM solutions with existing enterprise architecture, ensuring compliance with data security policies, authentication mechanisms, and transaction safety requirements
• Passion to solve problems and drive value-based transformative changes
• Ability to influence C-suite stakeholders and communicate complex technical concepts clearly.
• Experience in strategic planning, budgeting, and organizational scaling.

Nice To Haves

• Expertise in DAG-based orchestration (Airflow, Kubeflow), streaming architectures (Kafka/Kinesis), and microservices.
• Familiarity with responsible AI frameworks and compliance standards.
• Experience with multimodal AI, parameter-efficient fine-tuning, and GenAI frameworks.

Responsibilities

• Define and communicate the long-term vision for Generative AI and platform capabilities.
• Partner with senior executives, product, and engineering leaders to prioritize initiatives and allocate resources effectively.
• Lead the enterprise-level architectural design and technical strategy for major components of our generative AI applications and platform, ensuring solutions are scalable, resilient, and aligned with the product vision
• Partner with senior engineering managers, product leaders, and data scientists / MLEs to translate strategic objectives into executable architectural blueprints, guiding multiple development teams through implementation
• Drive the adoption of superior engineering standards and advanced AI evaluation frameworks like LangSmith, taking ownership of the quality and verifiability of system outputs
• Spearhead technical solutioning for the platform's most complex challenges, making critical decisions on the use of LangGraph, and our core context engineering engine
• Mentor and cultivate a team of associate architects and senior engineers, establishing a culture of technical excellence and acting as a key decision-maker for significant architectural challenges
• Own and execute a significant portion of the technology roadmap, actively researching and integrating cutting-edge AI agent patterns to keep the platform at the forefront of innovation
• Oversee design and deployment of enterprise-scale GenAI platforms, inference pipelines, and AI-powered applications. Ensure operational excellence in LLM Ops, including automation, observability, and lifecycle management.
• Champion adoption of cutting-edge generative AI techniques (LLMs, multimodal models, fine-tuning strategies). Drive responsible AI practices, model interpretability, and compliance with regulatory requirements.
• Build and mentor a high-performing organization of managers and senior engineers. Foster a culture of continuous learning, experimentation, and engineering craftsmanship.
• Establish standards for security, scalability, and architectural integrity across GenAI platforms. Implement robust governance for data privacy, ethical AI, and risk mitigation.

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
• Flexible work options including work from home, on site and hybrid positions
• Company provided technology packages for all Team Members
• An atmosphere that is collaborative, challenging, and filled with forward thinking Team Members
• Extensive growth opportunities as demonstrated by our track record of promoting internally
• Ongoing business training and career development opportunities
• Competitive market-based salary with bonus compensation, quarterly profit sharing and annual merit bonuses
• Generous PTO and holidays that include 28.5 total days during first full year of employment

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree