Senior Learning Experience Designer Jobs in Ann Arbor, MI
Senior Learning Experience Designer jobs in Ann Arbor are concentrated across higher education, healthcare, and enterprise technology, with hiring active in areas like downtown Ann Arbor, the University of Michigan medical campus corridor, and the North Campus research district. Employers hiring right now include May Mobility, Michigan Technological University, and TORC Robotics. Find a role that fits below and apply directly.
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Showing 5 of 16+ Senior Learning Experience Designer jobs
Domino’s Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we’re a reshaped, reenergized brand of honesty, transparency and accountability – not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream’ to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That’s just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you’d like to be a part of, consider joining our team!
Job Description
The Director of Machine Learning & Artificial Intelligence (ML & AI) leads the enterprise’s ML & AI Development and Engineering Center of Excellence (COE), serving as the central force behind our AI strategy, execution, and innovation. This role is accountable for building and scaling the COE into a world-class capability hub that delivers production-grade AI/ML solutions across the business.
As the senior-most leader of the ML & AI COE, this individual will define the strategic roadmap, architect the technical foundation, and cultivate the talent and culture necessary to accelerate enterprise-wide AI adoption. They will oversee the development of intelligent systems—from traditional ML models to cutting-edge generative AI agents—ensuring solutions are scalable, sustainable, and aligned with business priorities.
This role requires a rare blend of visionary leadership and deep technical fluency. The ideal candidate is a builder and operator, equally comfortable setting bold direction and rolling up their sleeves to ensure delivery excellence.
Key Responsibilities
COE Leadership & Strategy
- Lead the ML & AI Center of Excellence as the enterprise’s central engine for AI innovation, engineering, and enablement.
- Define and evolve the enterprise-wide ML & AI strategy in alignment with business goals and emerging technology trends.
- Serve as the organization’s primary evangelist for responsible AI, driving awareness, education, and adoption across functions.
- Identify, prioritize, and champion high-impact AI opportunities that unlock business value and operational efficiency.
- Create resource plans, and track spend to budgets.
Team & Capability Building
- Build and scale a high-performing ML & AI engineering organization, including hiring, mentoring, and org design.
- Foster a culture of innovation, experimentation, and continuous learning within the COE and beyond.
- Establish and enforce best practices for ML Ops, model lifecycle management, and platform scalability.
Model Enablement & Productionization
- Empower data scientists by transforming models of all maturity levels—from exploratory notebooks to advanced prototypes—into robust, governed, and scalable production assets.
- Establish seamless handoff processes and shared tooling that allow data scientists to focus on experimentation and insight generation, while ML engineers ensure operational excellence, compliance, and long-term maintainability.
- Position the ML engineering function as a trusted partner and accelerator—removing friction, reducing time-to-value, and enabling faster iteration cycles through automation, observability, and reusable infrastructure.
GenAI & Agentic Systems Innovation
- Collaborate closely with the enterprise GenAI enablement product owner to co-develop tailored agentic solutions that meet business needs and align with enterprise architecture and governance standards.
- Lead the development and integration of advanced generative AI capabilities, including tailored solutions. Working closely with consumers, and the Data engineering, quality and governance teams.
- Drive experimentation and rapid prototyping of intelligent agents that augment decision-making, automate workflows, and unlock new business capabilities. But prioritize and promote use cases that can drive real incremental value.
- Stay at the forefront of the GenAI ecosystem—evaluating open-source and proprietary models (e.g., LLaMA, Phi) and integrating them into scalable, secure, and responsible enterprise solutions.
Technical Execution & Engineering Excellence
- Oversee the design, development, and deployment of custom AI agents, ML pipelines, and intelligent systems.
- Ensure seamless productionization of models with a focus on performance, reliability, and maintainability. This is primarily accomplished in python, and deployed as containers or onto databricks.
- Champion modern engineering practices such as containerization, CI/CD, and cloud-native infrastructure.
Cross-Functional Collaboration
- Partner with Data Engineering, Data Science, and Solution Architecture COEs to ensure alignment and interoperability.
- Collaborate with business stakeholders to translate complex needs into scalable, value-driven AI solutions.
- Represent the ML & AI COE in enterprise governance, architecture, and innovation forums.
Qualifications
Required
- 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.
Preferred
- PhD in a relevant technical field.
- Experience with both open-source and proprietary AI models.
- Familiarity with responsible AI practices, model governance, and ethical considerations.
- Experience scaling AI capabilities in large, matrixed organizations.
- Recognized contributions to the AI/ML community (e.g., publications, open-source projects, speaking engagements).
Additional Information
Benefits:
- Paid Holidays and Vacation
- Medical, Dental & Vision benefits that start on the first day of employment
- No-cost mental health support for employee and dependents
- Childcare tuition discounts
- No-cost fitness, nutrition, and wellness programs
- Fertility benefits
- Adoption assistance
- 401k matching contributions
- 15% off the purchase price of stock
- Company bonus
Domino’s Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we’re a reshaped, reenergized brand of honesty, transparency and accountability – not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream’ to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That’s just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you’d like to be a part of, consider joining our team!
Job Description
The Director of Machine Learning & Artificial Intelligence (ML & AI) leads the enterprise’s ML & AI Development and Engineering Center of Excellence (COE), serving as the central force behind our AI strategy, execution, and innovation. This role is accountable for building and scaling the COE into a world-class capability hub that delivers production-grade AI/ML solutions across the business.
As the senior-most leader of the ML & AI COE, this individual will define the strategic roadmap, architect the technical foundation, and cultivate the talent and culture necessary to accelerate enterprise-wide AI adoption. They will oversee the development of intelligent systems—from traditional ML models to cutting-edge generative AI agents—ensuring solutions are scalable, sustainable, and aligned with business priorities.
This role requires a rare blend of visionary leadership and deep technical fluency. The ideal candidate is a builder and operator, equally comfortable setting bold direction and rolling up their sleeves to ensure delivery excellence.
Key Responsibilities
COE Leadership & Strategy
- Lead the ML & AI Center of Excellence as the enterprise’s central engine for AI innovation, engineering, and enablement.
- Define and evolve the enterprise-wide ML & AI strategy in alignment with business goals and emerging technology trends.
- Serve as the organization’s primary evangelist for responsible AI, driving awareness, education, and adoption across functions.
- Identify, prioritize, and champion high-impact AI opportunities that unlock business value and operational efficiency.
- Create resource plans, and track spend to budgets.
Team & Capability Building
- Build and scale a high-performing ML & AI engineering organization, including hiring, mentoring, and org design.
- Foster a culture of innovation, experimentation, and continuous learning within the COE and beyond.
- Establish and enforce best practices for ML Ops, model lifecycle management, and platform scalability.
Model Enablement & Productionization
- Empower data scientists by transforming models of all maturity levels—from exploratory notebooks to advanced prototypes—into robust, governed, and scalable production assets.
- Establish seamless handoff processes and shared tooling that allow data scientists to focus on experimentation and insight generation, while ML engineers ensure operational excellence, compliance, and long-term maintainability.
- Position the ML engineering function as a trusted partner and accelerator—removing friction, reducing time-to-value, and enabling faster iteration cycles through automation, observability, and reusable infrastructure.
GenAI & Agentic Systems Innovation
- Collaborate closely with the enterprise GenAI enablement product owner to co-develop tailored agentic solutions that meet business needs and align with enterprise architecture and governance standards.
- Lead the development and integration of advanced generative AI capabilities, including tailored solutions. Working closely with consumers, and the Data engineering, quality and governance teams.
- Drive experimentation and rapid prototyping of intelligent agents that augment decision-making, automate workflows, and unlock new business capabilities. But prioritize and promote use cases that can drive real incremental value.
- Stay at the forefront of the GenAI ecosystem—evaluating open-source and proprietary models (e.g., LLaMA, Phi) and integrating them into scalable, secure, and responsible enterprise solutions.
Technical Execution & Engineering Excellence
- Oversee the design, development, and deployment of custom AI agents, ML pipelines, and intelligent systems.
- Ensure seamless productionization of models with a focus on performance, reliability, and maintainability. This is primarily accomplished in python, and deployed as containers or onto databricks.
- Champion modern engineering practices such as containerization, CI/CD, and cloud-native infrastructure.
Cross-Functional Collaboration
- Partner with Data Engineering, Data Science, and Solution Architecture COEs to ensure alignment and interoperability.
- Collaborate with business stakeholders to translate complex needs into scalable, value-driven AI solutions.
- Represent the ML & AI COE in enterprise governance, architecture, and innovation forums.
Qualifications
Required
- 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.
Preferred
- PhD in a relevant technical field.
- Experience with both open-source and proprietary AI models.
- Familiarity with responsible AI practices, model governance, and ethical considerations.
- Experience scaling AI capabilities in large, matrixed organizations.
- Recognized contributions to the AI/ML community (e.g., publications, open-source projects, speaking engagements).
Additional Information
Benefits:
- Paid Holidays and Vacation
- Medical, Dental & Vision benefits that start on the first day of employment
- No-cost mental health support for employee and dependents
- Childcare tuition discounts
- No-cost fitness, nutrition, and wellness programs
- Fertility benefits
- Adoption assistance
- 401k matching contributions
- 15% off the purchase price of stock
- Company bonus
See All 16 Senior Learning Experience Designer Jobs in Ann Arbor
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Top Industries Hiring
- Automotive
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Senior Learning Experience Designer Jobs in Ann Arbor: Frequently Asked Questions
How do I get a senior learning experience designer job in Ann Arbor?
The strongest path in Ann Arbor is targeting the city's dominant hiring sectors: higher education institutions, large health systems, and the research and technology employers concentrated near North Campus. Candidates who combine instructional design credentials with experience in enterprise LMS platforms or healthcare compliance training stand out locally. Building relationships through University of Michigan professional development networks and Ann Arbor's active tech community gives a meaningful edge over candidates applying cold.
Which companies hire senior learning experience designers in Ann Arbor?
Companies currently hiring senior learning experience designers in Ann Arbor include May Mobility, Michigan Technological University, and TORC Robotics, per current listings on Migrate Mate as of July 2026. Ann Arbor's mix of a major research university, large health systems, and mid-size technology firms means demand comes from both corporate learning and development teams and academic instructional design departments.
Are there remote senior learning experience designer jobs in Ann Arbor?
Yes, senior learning experience designer work is well suited to remote arrangements given its primarily digital and asynchronous nature. About 70% of senior learning experience designer openings tied to Ann Arbor are remote or hybrid as of July 2026, reflecting broad adoption of distributed instructional design workflows. Roles focused on content development and eLearning authoring tend to be the most fully remote, while positions requiring close collaboration with faculty or clinical staff at local institutions more often require on-site presence.
How can I get a senior learning experience designer job in Ann Arbor with little or no experience?
The most realistic entry path in Ann Arbor is targeting instructional design coordinator or learning content developer roles at the University of Michigan or its health system, both of which regularly hire at junior levels and promote internally. Ann Arbor's education technology companies and corporate training teams at local mid-size firms also hire associate designers willing to build LMS administration and eLearning authoring skills on the job. A portfolio of self-initiated or volunteer projects showing proficiency with tools like Articulate Storyline carries more weight locally than credentials alone.
Which industries hire the most senior learning experience designers in Ann Arbor?
The sectors hiring the most senior learning experience designers in Ann Arbor are Automotive and Consulting & Professional Services, based on current listings on Migrate Mate as of July 2026. Ann Arbor's economy anchored by a major research university, a large academic medical center, and a growing cluster of education technology and automotive technology firms creates sustained demand for senior-level instructional design expertise across all three sectors.
See All 16 Senior Learning Experience Designer Jobs in Ann Arbor
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