AI Product Engineer Visa Sponsorship Jobs in Michigan
Michigan's AI product engineer market is anchored by Detroit's automotive tech transformation, with companies like Ford, General Motors, and Stellantis investing heavily in AI-driven vehicle software. Ann Arbor's dense university-industry corridor and Grand Rapids' growing tech sector add further depth. Employers across the state regularly sponsor H-1B visa and O-1 visas for qualified candidates.
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Get Access To All JobsThe AI Coding Product Leader defines the vision, strategy, and roadmap for coding agent capabilities across the Stellantis software engineering ecosystem. This role oversees platforms and agentic development capabilities designed to improve developer productivity, strengthen software quality, and increase overall engineering effectiveness.
Role Accountabilities
Strategy and roadmap
- Define and communicate a clear vision, strategy, and multi-year roadmap for coding agent capabilities aligned with Stellantis software engineering, AI, and digital transformation priorities.
- Set platform direction and prioritize investments based on business value, developer productivity, software quality, scalability, risk, and enterprise needs.
Platform delivery and adoption
- Lead the evaluation, rollout, and continuous improvement of solutions such as GitHub Copilot, Claude Code, Codex, OpenCode, and related agentic coding capabilities.
- Translate strategic priorities into clear epics, target outcomes, adoption plans, and delivery roadmaps for internal teams and external partners.
- Establish the operating model for coding agents, including onboarding, enablement, usage policies, support, and collaboration across engineering communities.
Team and partner leadership
- Build, grow, and organize the team and ecosystem required to support the coding agent strategy, including internal capabilities, ways of working, and regional coordination.
- Coordinate external suppliers and strategic partners to ensure delivery quality, cost control, alignment with Stellantis standards, and execution against roadmap commitments.
Performance and governance
- Define and track KPIs such as adoption, active usage, productivity uplift, cycle-time reduction, code quality improvement, and measurable engineering and business impact.
- Work closely with engineering leaders, enterprise architecture, cybersecurity, legal, procurement, finance, and operations teams to ensure consistent execution and governance.
- Ensure coding agent capabilities are deployed responsibly, with guardrails for security, compliance, privacy, intellectual property protection, and enterprise risk management.
Leadership and delivery
- Strong experience in platform leadership, software engineering, developer tooling, or engineering transformation.
- Proven ability to lead cross-functional teams and drive adoption in a complex global organization.
Technical and functional understanding
- Solid understanding of coding agents, AI-assisted software engineering, developer workflows, DevOps practices, and enterprise delivery models.
- Stakeholder and governance skills.
- Strong stakeholder management, communication, execution, and governance capabilities.
Basic Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, Data Science, or related field.
- Minimum 8 years of experience in software engineering, platform engineering, DevOps, AI/ML, or developer tooling.
- Minimum 3 years of experience with AI-assisted development, coding agents, LLM-based systems, or developer productivity platforms.
- Proven experience leading technical teams, platforms, or AI transformation initiatives.
- Experience working in complex global organizations with multiple engineering teams, regions, and stakeholders.
Technical Skills
- Strong understanding of large language models, generative AI, coding agents, and AI-assisted software engineering.
- Hands-on or functional experience with tools such as GitHub Copilot, Claude Code, Codex, OpenCode, or similar.
- Good understanding of SDLC, DevOps practices, CI/CD, testing, code quality, and modern software architectures.
- Experience evaluating, deploying, or managing AI coding tools and agentic development capabilities.
- Familiarity with prompt engineering, agent workflows, orchestration frameworks, RAG, embeddings, and AI-enabled development environments.
- Ability to assess AI coding solutions based on productivity, quality, scalability, security, integration, cost, and enterprise readiness.
Leadership & Strategy
- Define and execute the vision, strategy, and roadmap for coding agent capabilities across the software engineering ecosystem.
- Set platform direction and prioritize investments based on business value, developer productivity, software quality, scalability, cost, and risk.
- Lead the evaluation, rollout, adoption, and continuous improvement of AI coding solutions.
- Translate strategic priorities into clear epics, outcomes, adoption plans, and delivery roadmaps.
- Build and structure the team, operating model, and partner ecosystem required to scale coding agent capabilities.
- Drive adoption across engineering communities through onboarding, enablement, communication, and change management.
AI & Automation Expertise
- Deep understanding of AI-assisted coding workflows, coding agent design patterns, prompt engineering, and code generation optimization.
- Experience implementing AI-driven productivity improvements across development, testing, documentation, code review, and automation workflows.
- Ability to define validation practices for AI-generated code, including testing, quality gates, security checks, and human review.
- Understanding of how coding agents integrate with enterprise platforms such as GitHub, CI/CD, artifact repositories, security tools, and developer portals.
Business & Collaboration Skills
- Strong ability to translate business and engineering problems into AI-enabled software development solutions.
- Experience building ROI-driven business cases for AI adoption, including productivity uplift, cycle-time reduction, quality improvement, and cost optimization.
- Ability to partner with engineering, product, cybersecurity, legal, procurement, finance, operations, and enterprise architecture teams.
- Excellent communication skills for both technical and non-technical audiences, including executive stakeholders.
- Experience coordinating external suppliers and strategic partners to ensure delivery quality, cost control, and alignment with enterprise standards.
Governance & Risk Management
- Ability to balance innovation with risk, governance, scalability, cybersecurity, compliance, and enterprise constraints.
- Understanding of responsible AI, data privacy, intellectual property protection, and security considerations related to AI-generated code.
- Experience implementing guardrails for AI-assisted development, including usage policies, security controls, auditability, and compliance requirements.
- Ability to define governance models for coding agents, including onboarding, support, approved tools, monitoring, and escalation processes.
Preferred Qualifications
- Experience with enterprise-scale AI transformation initiatives.
- Background in DevOps, platform engineering, cloud engineering, MLOps, or developer experience.
- Knowledge of vector databases, RAG, embeddings, agent frameworks, orchestration frameworks, and AI gateway patterns.
- Experience leading an AI Center of Excellence, developer productivity team, platform team, or engineering transformation initiative.
- Experience with GitHub Enterprise, CI/CD platforms, artifact management, testing automation, software quality platforms, or internal developer platforms.
Our Benefits - Designed with You in Mind
Comprehensive Health & Well-being Coverage
From your very first day, you'll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.
Generous Paid Time Off
We believe in work-life balance. That's why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.
Competitive Retirement Savings Plans
We help you plan for the future with:
- An employer match on contributions to your 401k, Roth, and Catch-Up plans.
- An employer contribution, even if you don't contribute.
Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.
Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.
Family Building Benefit
We proudly support all paths to parenthood - including fertility and infertility treatments, adoption services, and gestational surrogacy.
Support for Your Growth and Giving Back
We believe in investing in your future and your passions:
- Tuition reimbursement.
- Student loan refinancing programs.
- 18 paid volunteer hours each year to make a difference in your community.
And so much more!
When you join us, you're not just building a career - you're joining a company that supports you, inside and outside of work.
The AI Coding Product Leader defines the vision, strategy, and roadmap for coding agent capabilities across the Stellantis software engineering ecosystem. This role oversees platforms and agentic development capabilities designed to improve developer productivity, strengthen software quality, and increase overall engineering effectiveness.
Role Accountabilities
Strategy and roadmap
- Define and communicate a clear vision, strategy, and multi-year roadmap for coding agent capabilities aligned with Stellantis software engineering, AI, and digital transformation priorities.
- Set platform direction and prioritize investments based on business value, developer productivity, software quality, scalability, risk, and enterprise needs.
Platform delivery and adoption
- Lead the evaluation, rollout, and continuous improvement of solutions such as GitHub Copilot, Claude Code, Codex, OpenCode, and related agentic coding capabilities.
- Translate strategic priorities into clear epics, target outcomes, adoption plans, and delivery roadmaps for internal teams and external partners.
- Establish the operating model for coding agents, including onboarding, enablement, usage policies, support, and collaboration across engineering communities.
Team and partner leadership
- Build, grow, and organize the team and ecosystem required to support the coding agent strategy, including internal capabilities, ways of working, and regional coordination.
- Coordinate external suppliers and strategic partners to ensure delivery quality, cost control, alignment with Stellantis standards, and execution against roadmap commitments.
Performance and governance
- Define and track KPIs such as adoption, active usage, productivity uplift, cycle-time reduction, code quality improvement, and measurable engineering and business impact.
- Work closely with engineering leaders, enterprise architecture, cybersecurity, legal, procurement, finance, and operations teams to ensure consistent execution and governance.
- Ensure coding agent capabilities are deployed responsibly, with guardrails for security, compliance, privacy, intellectual property protection, and enterprise risk management.
Leadership and delivery
- Strong experience in platform leadership, software engineering, developer tooling, or engineering transformation.
- Proven ability to lead cross-functional teams and drive adoption in a complex global organization.
Technical and functional understanding
- Solid understanding of coding agents, AI-assisted software engineering, developer workflows, DevOps practices, and enterprise delivery models.
- Stakeholder and governance skills.
- Strong stakeholder management, communication, execution, and governance capabilities.
Basic Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, Data Science, or related field.
- Minimum 8 years of experience in software engineering, platform engineering, DevOps, AI/ML, or developer tooling.
- Minimum 3 years of experience with AI-assisted development, coding agents, LLM-based systems, or developer productivity platforms.
- Proven experience leading technical teams, platforms, or AI transformation initiatives.
- Experience working in complex global organizations with multiple engineering teams, regions, and stakeholders.
Technical Skills
- Strong understanding of large language models, generative AI, coding agents, and AI-assisted software engineering.
- Hands-on or functional experience with tools such as GitHub Copilot, Claude Code, Codex, OpenCode, or similar.
- Good understanding of SDLC, DevOps practices, CI/CD, testing, code quality, and modern software architectures.
- Experience evaluating, deploying, or managing AI coding tools and agentic development capabilities.
- Familiarity with prompt engineering, agent workflows, orchestration frameworks, RAG, embeddings, and AI-enabled development environments.
- Ability to assess AI coding solutions based on productivity, quality, scalability, security, integration, cost, and enterprise readiness.
Leadership & Strategy
- Define and execute the vision, strategy, and roadmap for coding agent capabilities across the software engineering ecosystem.
- Set platform direction and prioritize investments based on business value, developer productivity, software quality, scalability, cost, and risk.
- Lead the evaluation, rollout, adoption, and continuous improvement of AI coding solutions.
- Translate strategic priorities into clear epics, outcomes, adoption plans, and delivery roadmaps.
- Build and structure the team, operating model, and partner ecosystem required to scale coding agent capabilities.
- Drive adoption across engineering communities through onboarding, enablement, communication, and change management.
AI & Automation Expertise
- Deep understanding of AI-assisted coding workflows, coding agent design patterns, prompt engineering, and code generation optimization.
- Experience implementing AI-driven productivity improvements across development, testing, documentation, code review, and automation workflows.
- Ability to define validation practices for AI-generated code, including testing, quality gates, security checks, and human review.
- Understanding of how coding agents integrate with enterprise platforms such as GitHub, CI/CD, artifact repositories, security tools, and developer portals.
Business & Collaboration Skills
- Strong ability to translate business and engineering problems into AI-enabled software development solutions.
- Experience building ROI-driven business cases for AI adoption, including productivity uplift, cycle-time reduction, quality improvement, and cost optimization.
- Ability to partner with engineering, product, cybersecurity, legal, procurement, finance, operations, and enterprise architecture teams.
- Excellent communication skills for both technical and non-technical audiences, including executive stakeholders.
- Experience coordinating external suppliers and strategic partners to ensure delivery quality, cost control, and alignment with enterprise standards.
Governance & Risk Management
- Ability to balance innovation with risk, governance, scalability, cybersecurity, compliance, and enterprise constraints.
- Understanding of responsible AI, data privacy, intellectual property protection, and security considerations related to AI-generated code.
- Experience implementing guardrails for AI-assisted development, including usage policies, security controls, auditability, and compliance requirements.
- Ability to define governance models for coding agents, including onboarding, support, approved tools, monitoring, and escalation processes.
Preferred Qualifications
- Experience with enterprise-scale AI transformation initiatives.
- Background in DevOps, platform engineering, cloud engineering, MLOps, or developer experience.
- Knowledge of vector databases, RAG, embeddings, agent frameworks, orchestration frameworks, and AI gateway patterns.
- Experience leading an AI Center of Excellence, developer productivity team, platform team, or engineering transformation initiative.
- Experience with GitHub Enterprise, CI/CD platforms, artifact management, testing automation, software quality platforms, or internal developer platforms.
Our Benefits - Designed with You in Mind
Comprehensive Health & Well-being Coverage
From your very first day, you'll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.
Generous Paid Time Off
We believe in work-life balance. That's why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.
Competitive Retirement Savings Plans
We help you plan for the future with:
- An employer match on contributions to your 401k, Roth, and Catch-Up plans.
- An employer contribution, even if you don't contribute.
Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.
Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.
Family Building Benefit
We proudly support all paths to parenthood - including fertility and infertility treatments, adoption services, and gestational surrogacy.
Support for Your Growth and Giving Back
We believe in investing in your future and your passions:
- Tuition reimbursement.
- Student loan refinancing programs.
- 18 paid volunteer hours each year to make a difference in your community.
And so much more!
When you join us, you're not just building a career - you're joining a company that supports you, inside and outside of work.
AI Product Engineer Job Roles in Michigan
See all 249+ AI Product Engineer Jobs in Michigan
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Search AI Product Engineer Jobs in MichiganAI Product Engineer Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for AI product engineers in Michigan?
Michigan's largest visa sponsors for AI and software engineering roles include Ford Motor Company, General Motors, and Stellantis, all of which file significant numbers of H-1B petitions annually. Beyond automotive, companies like Quicken Loans parent Rocket Companies in Detroit and several Ann Arbor-based technology firms have active sponsorship histories. University-affiliated research labs and healthcare systems such as Henry Ford Health also sponsor engineers in AI-adjacent roles.
Which visa types are most common for AI product engineer roles in Michigan?
The H-1B is the most common visa category for AI product engineers in Michigan, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, AI, or a related field. Candidates with exceptional records in research or commercial AI development may qualify for the O-1A. International students completing degrees at University of Michigan or Michigan State often begin on OPT before their employer files an H-1B petition.
Which cities in Michigan have the most AI product engineer sponsorship jobs?
Detroit and its metro area generate the highest volume of AI product engineer sponsorship opportunities, driven by automotive technology and fintech employers. Ann Arbor is a close second, benefiting from University of Michigan's engineering output and a concentrated cluster of AI startups and research-focused companies. Grand Rapids has a smaller but growing technology sector. Remote-friendly roles headquartered in Michigan also allow candidates to work from other cities within the state.
How to find ai product engineer visa sponsorship jobs in Michigan?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles, making it a practical starting point for AI product engineer jobs in Michigan. You can filter by state and role to surface employers with active sponsorship histories in the Michigan market. Because the platform focuses on sponsorship-confirmed listings, it saves time compared to manually reviewing job postings that may not address visa support at all.
Are there state-specific considerations for AI product engineers seeking sponsorship in Michigan?
Michigan's concentration in automotive and mobility tech means AI product engineers often work at the intersection of software and hardware systems, which can shape how employers define the specialty occupation criteria on H-1B petitions. The University of Michigan and Michigan State University produce strong graduate pipelines that employers actively recruit from, making OPT-to-H-1B transitions common. Prevailing wage requirements apply statewide based on the specific job location and role classification, which employers determine through Department of Labor filings.
What is the prevailing wage for sponsored ai product engineer jobs in Michigan?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.