AI Product Engineer Jobs in Michigan
AI Product Engineer jobs in Michigan are in active and growing demand, concentrated in automotive technology, mobility software, and enterprise cloud platforms, with openings at every level from entry-level associate to senior principal engineer. Detroit, Ann Arbor, and Grand Rapids are the largest hiring centers, anchored by established employers like Ford Motor Company, General Motors, and Rocket Companies that have built sustained AI product teams over recent years. The most sought-after specialties in Michigan include embedded AI for vehicle systems, large language model integration, and product-focused MLOps. Find a role that fits below and apply directly.
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Showing 5 of 7+ AI Product Engineer jobs
DEPARTMENT: Information Technology
LOCATION: Kingsford, MI or Iron River, MI or Rhinelander, WI, Open to Remote/Hybrid
SUMMARY
The Information Technology team aims to deliver meaningful capability, technical support, and innovative solutions to the organization and support the enterprise in achieving business strategic goals and objectives.
As part of the Information Technology team, the AI & Analytics Solutions Engineer, designs, builds, and deploys intelligent systems that enhance operational efficiency, automate decision-making, and unlock new capabilities across the organization. This role blends software engineering, machine learning, and analytics to develop production-ready AI and analytics solutions. In our environment, this may include solutions related to corporate finance, predictive maintenance, defect detection, and process optimization.
RESPONSIBILITIES
- Provide day-to-day functional support for deployed AI and analytics solutions
- Maintain knowledge of emerging AI technologies and solutions compatible with a government tenant
- Monitor and troubleshoot tickets related to AI and analytics solutions
- Collaborate with the business to define, design and deploy use cases leveraging AI and analytics solutions
- Build and maintain AI governance frameworks
- Work with third-party vendors as applicable to support on-going projects
QUALIFICATIONS
- Strong programming skills in Python and SQL
- Experience with machine learning model development, including supervised, unsupervised, and deep learning techniques
- Familiarity with cloud platforms (e.g. Azure) and GPU-accelerated computing
- Experience integrating AI models with enterprise systems, APIs, or edge devices
- Experience with M365 Copilot deployment and Copilot Studio
- Experience using Microsoft’s PowerPlatform (Power Automate, PowerBI, etc.)
- Hands-on experience with MLOps tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines
- Strong understanding of data structures, algorithms, and software engineering best practices
- Strong problem-solving mindset and curiosity
- Ability to translate ambiguous business needs into technical solutions
- Comfortable working in fast-paced, iterative environments
- Clear communication with both technical and non-technical stakeholders
- Understanding of AI governance, model monitoring, and responsible AI practices
EDUCATION AND/OR EXPERIENCE
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field
- 3 – 5+ years of experience building and deploying machine learning or AI systems
- Eligible to work within a government tenant (GCCH) and with FEDRAMP compliant solutions
- Certifications in MS Azure, DevOps, Analytics, and AI
NICE TO HAVE EDUCATION AND/OR EXPERIENCE
- Master’s degree in a technical field or equivalent experience
- Experience working in government tenants (GCC, GCCH) and with FEDRAMP compliant solutions
- Experience working in navy, shipbuilding, or related domains
- Advanced programming skills in Python (e.g., PyTorch, TensorFlow, scikit-learn, FastAPI)
- Experience with, or a conceptual understanding of, Palantir Foundry / AIP / ShipOS
- Background in industrial automation, robotics, or IoT sensor data
- Experience building digital twins, simulation models, or optimization algorithms
- Familiarity with data engineering tools (Spark, Databricks, Kafka)
- Knowledge of DevOps and infrastructure-as-code
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job the employee is regularly required to use hands and fingers to handle or feel and talk or hear. The employee is frequently required to sit. The employee is occasionally required to walk; reach with hands and arms and stoop, kneel, crouch, or crawl. The employee is occasionally required to lift to 25 pounds. The vision requirements include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus. All Trident Maritime Systems employees are encouraged to be fully vaccinated against COVID-19.
WORK ENVIRONMENT
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment can vary.
Trident Maritime Systems is an EEO/AA employer that offers a comprehensive compensation package and opportunities for growth.
Offers of employment are contingent on and not considered finalized until the required background check and drug test has been performed and the results received and accessed.
Equal Opportunity Employer of Protected Veterans and Individuals with Disabilities/Affirmative Action Employer.
We comply with Department of Labor Wage and Hour Division.
XJ6
DEPARTMENT: Information Technology
LOCATION: Kingsford, MI or Iron River, MI or Rhinelander, WI, Open to Remote/Hybrid
SUMMARY
The Information Technology team aims to deliver meaningful capability, technical support, and innovative solutions to the organization and support the enterprise in achieving business strategic goals and objectives.
As part of the Information Technology team, the AI & Analytics Solutions Engineer, designs, builds, and deploys intelligent systems that enhance operational efficiency, automate decision-making, and unlock new capabilities across the organization. This role blends software engineering, machine learning, and analytics to develop production-ready AI and analytics solutions. In our environment, this may include solutions related to corporate finance, predictive maintenance, defect detection, and process optimization.
RESPONSIBILITIES
- Provide day-to-day functional support for deployed AI and analytics solutions
- Maintain knowledge of emerging AI technologies and solutions compatible with a government tenant
- Monitor and troubleshoot tickets related to AI and analytics solutions
- Collaborate with the business to define, design and deploy use cases leveraging AI and analytics solutions
- Build and maintain AI governance frameworks
- Work with third-party vendors as applicable to support on-going projects
QUALIFICATIONS
- Strong programming skills in Python and SQL
- Experience with machine learning model development, including supervised, unsupervised, and deep learning techniques
- Familiarity with cloud platforms (e.g. Azure) and GPU-accelerated computing
- Experience integrating AI models with enterprise systems, APIs, or edge devices
- Experience with M365 Copilot deployment and Copilot Studio
- Experience using Microsoft’s PowerPlatform (Power Automate, PowerBI, etc.)
- Hands-on experience with MLOps tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines
- Strong understanding of data structures, algorithms, and software engineering best practices
- Strong problem-solving mindset and curiosity
- Ability to translate ambiguous business needs into technical solutions
- Comfortable working in fast-paced, iterative environments
- Clear communication with both technical and non-technical stakeholders
- Understanding of AI governance, model monitoring, and responsible AI practices
EDUCATION AND/OR EXPERIENCE
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field
- 3 – 5+ years of experience building and deploying machine learning or AI systems
- Eligible to work within a government tenant (GCCH) and with FEDRAMP compliant solutions
- Certifications in MS Azure, DevOps, Analytics, and AI
NICE TO HAVE EDUCATION AND/OR EXPERIENCE
- Master’s degree in a technical field or equivalent experience
- Experience working in government tenants (GCC, GCCH) and with FEDRAMP compliant solutions
- Experience working in navy, shipbuilding, or related domains
- Advanced programming skills in Python (e.g., PyTorch, TensorFlow, scikit-learn, FastAPI)
- Experience with, or a conceptual understanding of, Palantir Foundry / AIP / ShipOS
- Background in industrial automation, robotics, or IoT sensor data
- Experience building digital twins, simulation models, or optimization algorithms
- Familiarity with data engineering tools (Spark, Databricks, Kafka)
- Knowledge of DevOps and infrastructure-as-code
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job the employee is regularly required to use hands and fingers to handle or feel and talk or hear. The employee is frequently required to sit. The employee is occasionally required to walk; reach with hands and arms and stoop, kneel, crouch, or crawl. The employee is occasionally required to lift to 25 pounds. The vision requirements include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus. All Trident Maritime Systems employees are encouraged to be fully vaccinated against COVID-19.
WORK ENVIRONMENT
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment can vary.
Trident Maritime Systems is an EEO/AA employer that offers a comprehensive compensation package and opportunities for growth.
Offers of employment are contingent on and not considered finalized until the required background check and drug test has been performed and the results received and accessed.
Equal Opportunity Employer of Protected Veterans and Individuals with Disabilities/Affirmative Action Employer.
We comply with Department of Labor Wage and Hour Division.
XJ6
See All 7 AI Product Engineer Jobs in Michigan
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Find AI Product Engineer JobsAI Product Engineer Jobs by City in Michigan
Where Michigan roles are concentrated, by current openings.
AI Product Engineer Job Market in Michigan
A snapshot from current Michigan openings, updated as new roles post.
Who's Hiring
What Michigan Employers Look For
The qualifications that appear most often in AI product engineer jobs across Michigan.
- Bachelor's or master's degree in computer science, software engineering, or a related technical field
- Demonstrated experience building and shipping AI or machine learning powered products end to end
- Proficiency in Python and familiarity with major ML frameworks such as PyTorch or TensorFlow
- Experience collaborating with cross-functional teams including data science, design, and platform engineering
- Strong understanding of product management principles including roadmapping, user research, and agile delivery
- Familiarity with cloud infrastructure platforms such as AWS, Azure, or Google Cloud for model deployment
AI Product Engineer Jobs in Michigan: Frequently Asked Questions
How do you become a ai product engineer in Michigan?
Most ai product engineer roles in Michigan require a bachelor's degree in computer science, software engineering, data science, or a closely related field, with a master's degree preferred at mid-to-senior levels. Michigan does not require a state-issued license for this role. Employers in the state typically look for candidates who can demonstrate hands-on experience through a portfolio, capstone projects, or prior internships, particularly in automotive technology or enterprise software contexts that are common across Southeast Michigan.
Which companies hire ai product engineers in Michigan?
Employers hiring ai product engineers in Michigan right now include Stellantis, Bosch, and Ford Motor Company, based on current listings on Migrate Mate as of November 2026. Michigan's deep automotive and mobility technology sector, combined with a growing fintech and enterprise software presence centered in Detroit and Ann Arbor, drives steady demand across a broad range of company sizes and industries.
Which Michigan cities have the most ai product engineer jobs?
Auburn Hills, Dearborn, and Ann Arbor have the most ai product engineer openings in Michigan. Detroit and its surrounding metro anchor the market through the headquarters and technology divisions of major automotive and mobility companies, while Ann Arbor draws demand from the University of Michigan's spin-off ecosystem and established tech employers, and Grand Rapids contributes through its growing cluster of healthcare technology and manufacturing software firms.
Are there remote ai product engineer jobs in Michigan?
Yes, and more than most fields. About 67% of ai product engineer openings tied to Michigan are remote or hybrid as of November 2026, reflecting how well suited software-centered product work is to distributed teams. The most remote-friendly portions of the role tend to be product strategy, roadmap planning, model evaluation, and cross-functional coordination, while on-site presence is more common for embedded or hardware-adjacent AI work in automotive contexts.
How can I get hired as a ai product engineer in Michigan with little or no experience?
The most realistic entry path is to apply for associate product manager, junior machine learning engineer, or technical program coordinator roles at Michigan's large automotive and tech employers, where rotational new-grad programs at companies like Ford Motor Company and General Motors provide structured exposure to AI product work. Building a portfolio of end-to-end projects using publicly available datasets and contributing to open-source tools strengthens applications considerably. Completing a relevant certification in cloud AI services or product management also gives candidates a measurable edge when competing for first roles.
Where can I find and apply to ai product engineer jobs in Michigan?
You can find and apply to ai product engineer jobs in Michigan on Migrate Mate, which lists current Michigan openings updated regularly. Search the available roles, find the ones that match your background and target location within Michigan, and apply directly to the positions that fit.
See All 7 AI Product Engineer Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
Find AI Product Engineer Jobs