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Domino's · 2 months ago

Director, Machine Learning & Artificial Intelligence

Ann Arbor, MI

Full-time

Hybrid

Director/Executive

12+ years exp

Domino's is a reshaped and reenergized brand known for its commitment to technology and innovation in the food industry. The Director of Machine Learning & Artificial Intelligence will lead the ML & AI Development and Engineering Center of Excellence, focusing on building and scaling AI capabilities across the organization.

Restaurants

H1B Sponsor Likely

Responsibilities

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

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

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

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

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

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

Qualification

AI/ML experienceML Ops expertiseGenAI technologiesSoftware engineeringCloud infrastructureContainerizationStakeholder managementTeam buildingCommunication skillsLeadership skills

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)

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

Company

Domino's

Glassdoor3.5

Domino’s is a purpose-inspired, performance-driven company powered by exceptional people who are committed to feeding the power of possible—one pizza at a time.

Founded in 1960

Ann Arbor, MI, US

10001+ employees

https://biz.dominos.com/

H1B Sponsorship

Domino's has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (43)

2024 (40)

2023 (34)

2022 (53)

2021 (42)

2020 (32)