AI Data Engineer Visa Sponsorship Jobs in Michigan
Michigan's AI data engineer job market is anchored by Detroit's automotive technology sector, where companies like Ford, General Motors, and Stellantis are investing heavily in machine learning infrastructure. Ann Arbor and Grand Rapids add university-driven and manufacturing-tech demand. International candidates will find meaningful visa sponsorship activity across these hubs.
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Get Access To All JobsINTRODUCTION
The role requires a creative and detail-oriented individual. In this role, you will develop and respond to requests for data analysis to present a coherent vision of business activities, assisting the Dealer Audit teams and key stakeholders in making data-driven decisions. The selected candidate will provide a blend of technical and functional expertise.
AI Solutions: The role drives the identification, design, pilot, and scaling of AI and automation solutions across Dealer Audit. The role works to deliver measurable impact through workflow optimization, improved customer and employee experience, and digital process transformation. This role supports the broader organizational mission to accelerate digital transformation and scale AI adoption.
KEY RESPONSIBILITIES:
- Analyze large and complex data sets from multiple sources to identify trends, patterns, and insights
- Work with stakeholders to propose, identify, and develop analytics requirements
- Build visualization or perform further analysis based on requirements identified
- Know business data and provide recommendations for improving knowledge and data quality
- Support audit teams in deepening their knowledge and utilization of data and AI within testing
- Stay up-to-date with the latest advancements in AI and data analytics technologies
- Identify high-value AI, Copilot, and other automation opportunities to embed into daily operations
- Conduct process mapping and problem analysis to define requirements and value hypotheses
- Translate business needs into clear user stories, requirements, and acceptance criteria
- Partner with stakeholders to ensure feasibility and solution integration
- Develop deployment playbooks, documentation, and training assets
- Create reusable templates, prompt libraries, workflows, or automation components
- Define KPIs and measure performance, productivity, and financial outcomes
- Ensure compliance with Stellantis' Responsible AI and Data Governance frameworks
BASIC QUALIFICATIONS:
- Bachelor's Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field
- A minimum of 5 years of experience as a Data Analyst, AI Analyst, or similar role
- Strong knowledge of data visualization tools such as PowerBI, Tableau, Qlik, or similar tools
- Familiarity with programming languages such as Python, R, SQL, NoSQL
- Familiarity with platforms such as Visual Studio Code, Databricks, Snowflake, Palantir Foundry
- Strong computer skills and highly proficient with Microsoft Office Suite (O365 / Online Collaboration Version)
- AI literacy: understanding capabilities, limitations, risks, and responsible use
- Flexible and adaptable to changing business environments and job responsibilities
- Excellent written and verbal communication skills in English
- Quantitative, analytical, and detail-oriented. Problem-solving skills
- Strong project management skills; effective & efficient completing numerous tasks simultaneously
- Knowledge of risk management, control objectives/activities, and automated/manual controls
- Proficiency in data collection, warehousing, transformation, and analysis
PREFERRED QUALIFICATIONS:
- Prior audit experience (financial, compliance, operational, or dealership/franchise)
- Experience with automotive OEM dealership management systems
- General understanding of the franchised dealership model
- Experience with highly automated/digital processes; including but not limited to remote auditing techniques, claims processing, and optical recognition software
- Advanced Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field
- 5+ years of (total) experience in the following areas:
- Automotive (Retail) – In-depth knowledge of dealership retail processes and procedures, with emphasis on fixed operations departments.
- Automotive (Technical) – In-depth knowledge of automotive technical information systems and repair/diagnostic procedures
INTRODUCTION
The role requires a creative and detail-oriented individual. In this role, you will develop and respond to requests for data analysis to present a coherent vision of business activities, assisting the Dealer Audit teams and key stakeholders in making data-driven decisions. The selected candidate will provide a blend of technical and functional expertise.
AI Solutions: The role drives the identification, design, pilot, and scaling of AI and automation solutions across Dealer Audit. The role works to deliver measurable impact through workflow optimization, improved customer and employee experience, and digital process transformation. This role supports the broader organizational mission to accelerate digital transformation and scale AI adoption.
KEY RESPONSIBILITIES:
- Analyze large and complex data sets from multiple sources to identify trends, patterns, and insights
- Work with stakeholders to propose, identify, and develop analytics requirements
- Build visualization or perform further analysis based on requirements identified
- Know business data and provide recommendations for improving knowledge and data quality
- Support audit teams in deepening their knowledge and utilization of data and AI within testing
- Stay up-to-date with the latest advancements in AI and data analytics technologies
- Identify high-value AI, Copilot, and other automation opportunities to embed into daily operations
- Conduct process mapping and problem analysis to define requirements and value hypotheses
- Translate business needs into clear user stories, requirements, and acceptance criteria
- Partner with stakeholders to ensure feasibility and solution integration
- Develop deployment playbooks, documentation, and training assets
- Create reusable templates, prompt libraries, workflows, or automation components
- Define KPIs and measure performance, productivity, and financial outcomes
- Ensure compliance with Stellantis' Responsible AI and Data Governance frameworks
BASIC QUALIFICATIONS:
- Bachelor's Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field
- A minimum of 5 years of experience as a Data Analyst, AI Analyst, or similar role
- Strong knowledge of data visualization tools such as PowerBI, Tableau, Qlik, or similar tools
- Familiarity with programming languages such as Python, R, SQL, NoSQL
- Familiarity with platforms such as Visual Studio Code, Databricks, Snowflake, Palantir Foundry
- Strong computer skills and highly proficient with Microsoft Office Suite (O365 / Online Collaboration Version)
- AI literacy: understanding capabilities, limitations, risks, and responsible use
- Flexible and adaptable to changing business environments and job responsibilities
- Excellent written and verbal communication skills in English
- Quantitative, analytical, and detail-oriented. Problem-solving skills
- Strong project management skills; effective & efficient completing numerous tasks simultaneously
- Knowledge of risk management, control objectives/activities, and automated/manual controls
- Proficiency in data collection, warehousing, transformation, and analysis
PREFERRED QUALIFICATIONS:
- Prior audit experience (financial, compliance, operational, or dealership/franchise)
- Experience with automotive OEM dealership management systems
- General understanding of the franchised dealership model
- Experience with highly automated/digital processes; including but not limited to remote auditing techniques, claims processing, and optical recognition software
- Advanced Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field
- 5+ years of (total) experience in the following areas:
- Automotive (Retail) – In-depth knowledge of dealership retail processes and procedures, with emphasis on fixed operations departments.
- Automotive (Technical) – In-depth knowledge of automotive technical information systems and repair/diagnostic procedures
AI Data Engineer Job Roles in Michigan
See all 329+ AI Data Engineer Jobs in Michigan
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Search AI Data Engineer Jobs in MichiganAI Data Engineer Jobs in Michigan: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Michigan?
Ford Motor Company, General Motors, and Stellantis are among the most active visa sponsors for AI data engineering roles in Michigan, particularly for work involving autonomous vehicle data pipelines and predictive manufacturing systems. Tech-focused subsidiaries and automotive software firms such as Aptiv and Bosch North America also file H-1B visa petitions for these roles regularly. Large healthcare systems and University of Michigan research units round out the sponsoring employer pool.
Which visa types are most common for AI data engineers in Michigan?
The H-1B is the most common visa category for AI data engineers in Michigan, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT have a window to work while an employer files an H-1B petition. O-1A visas are an option for candidates with demonstrated exceptional achievement in AI or data engineering.
Which cities in Michigan have the most AI data engineer sponsorship jobs?
Detroit and its surrounding metro area, including Dearborn and Auburn Hills, generate the highest concentration of AI data engineering sponsorship opportunities given the density of automotive and mobility technology employers. Ann Arbor is a close second, driven by University of Michigan spinouts, research commercialization, and established tech companies with offices there. Grand Rapids has a smaller but growing share of sponsoring employers in manufacturing technology and health informatics.
How to find ai data engineer visa sponsorship jobs in Michigan?
Migrate Mate is built specifically for international candidates seeking visa sponsorship, making it a practical starting point for AI data engineer roles in Michigan. You can filter by state and role to surface positions at Michigan employers with a documented history of sponsoring work visas. Focusing on automotive technology, university research, and health system employers will narrow your search to the sectors most actively hiring and sponsoring in this state.
Are there state-specific considerations for AI data engineers pursuing sponsorship in Michigan?
Michigan's AI data engineering market is heavily shaped by automotive and mobility technology, so candidates with experience in large-scale sensor data processing, computer vision pipelines, or real-time ML inference have an advantage with the state's biggest sponsoring employers. University of Michigan and Michigan State produce a steady pipeline of data science talent, which means competition is real. Prevailing wage requirements under H-1B rules apply statewide and are benchmarked to the Detroit and Ann Arbor metropolitan areas for most postings.
What is the prevailing wage for sponsored ai data 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.