Director of Machine Learning & Artificial Intelligence
On-site · Ann Arbor, Michigan, United States
Job Summary
Director of Machine Learning & Artificial Intelligence leads the enterprise ML & AI Center of Excellence, defining the strategic roadmap and overseeing the development of production-grade AI/ML solutions across the business. Responsible for building and scaling the COE, driving responsible AI adoption, and collaborating with stakeholders to translate complex needs into scalable AI capabilities. Key duties include defining enterprise strategy, staffing and mentoring the ML & AI engineering organization, enforcing ML Ops and model governance, enabling productionization of models, leading GenAI initiatives, championing modern engineering practices (containerization, CI/CD, cloud-native infra), and partnering with Data Engineering/Data Science/Solution Architecture COEs to ensure alignment and value delivery. Required experience includes a Bachelor's or Master's in a related field and 12+ years in AI/ML with senior leadership, hands-on GenAI/LLM experience, and strong software/cloud/containerization expertise.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
- 12+ years of experience in AI/ML, including 5+ years in a senior leadership role
- Proven track record of delivering enterprise-scale ML systems in production environments
- Deep expertise in ML Ops, model deployment, and AI platform architecture
- Hands-on experience with GenAI technologies, LLMs, and multi-agent systems (e.g., MCP, A2A)
- Strong foundation in software engineering, cloud infrastructure, and containerization (e.g., Docker, Kubernetes)
- Exceptional communication, influence, and stakeholder management skills
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