AI Architect Jobs in Michigan
AI Architect jobs in Michigan are actively sought across automotive technology, healthcare IT, and advanced manufacturing sectors, with demand running from early-career positions through principal and staff-level roles. Detroit, Ann Arbor, and Grand Rapids anchor most of the hiring, with established employers such as Ford Motor Company, General Motors, and Henry Ford Health System building out AI infrastructure teams. The most in-demand specialties are machine learning platform design, AI model governance, and enterprise AI integration for manufacturing and clinical workflows. Find a role that fits below and apply directly.
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Showing 5 of 13+ AI Architect 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 13 AI Architect Jobs in Michigan
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Find AI Architect JobsAI Architect Jobs by City in Michigan
Where Michigan roles are concentrated, by current openings.
AI Architect Job Market in Michigan
A snapshot from current Michigan openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Automotive
- Electronics & Hardware
- Banking & Financial Services
- Consulting & Professional Services
What Michigan Employers Look For
The qualifications that appear most often in AI architect jobs across Michigan.
- Bachelor's or master's degree in computer science, data science, or a related engineering field
- Hands-on experience designing and deploying large-scale machine learning or deep learning systems
- Proficiency with cloud AI platforms such as Azure, AWS, or Google Cloud across enterprise environments
- Experience with MLOps practices including model versioning, monitoring, and automated retraining pipelines
- Demonstrated ability to translate business requirements into AI architecture decisions and technical roadmaps
- Familiarity with responsible AI frameworks, bias mitigation, and data governance standards
AI Architect Jobs in Michigan: Frequently Asked Questions
How do you become a ai architect in Michigan?
There is no state-issued license specific to ai architects in Michigan, so the path runs through education and demonstrated expertise. Most Michigan employers expect at least a bachelor's degree in computer science, data engineering, or a related field, with a master's degree increasingly common at senior levels. Building a portfolio of deployed AI systems, earning vendor certifications from Microsoft or AWS, and contributing to Michigan's active tech and automotive AI communities strengthens candidacy significantly.
How much do AI architects make in Michigan?
AI architects in Michigan earn a median of about $105,680 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $51,440 for the lowest 10% to over $160,830 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai architects in Michigan?
Employers hiring ai architects in Michigan right now include Ford Motor Company, Boston Consulting, and KLA, based on current listings on Migrate Mate as of November 2026. Michigan's concentration of automotive OEMs, tier-one suppliers, and major health systems means many of the strongest openings are tied to AI transformation programs in manufacturing and clinical operations.
Which Michigan cities have the most ai architect jobs?
Detroit, Ann Arbor, and Warren have the most ai architect openings in Michigan. Detroit and its surrounding metro drive the bulk of demand through automotive technology and corporate headquarters, while Ann Arbor benefits from the University of Michigan's research ecosystem and a dense cluster of tech spinoffs, and Grand Rapids reflects growing investment in health IT and advanced manufacturing AI.
Are there remote ai architect jobs in Michigan?
Yes, and more than most fields. About 63% of ai architect openings tied to Michigan are remote or hybrid as of November 2026, reflecting the nature of architecture work, which centers on design, documentation, and cross-functional collaboration rather than on-site hardware. The roles most likely to be fully remote are those focused on cloud platform design and AI governance, while positions requiring close coordination with embedded manufacturing systems tend to expect on-site or hybrid presence.
How can I get hired as a ai architect in Michigan with little or no experience?
The most realistic entry path is moving into an ai architect role from a data engineer, machine learning engineer, or cloud solutions architect position at a Michigan employer. Large organizations such as Ford, General Motors, and Blue Cross Blue Shield of Michigan run rotational technology programs and internal upskilling tracks that allow early-career engineers to work on AI infrastructure projects. Building a public portfolio of end-to-end ML pipelines, earning an associate-level cloud certification, and connecting with Michigan's automotive AI and health tech communities accelerates that transition.
Where can I find and apply to ai architect jobs in Michigan?
You can find and apply to ai architect jobs in Michigan on Migrate Mate, which lists current Michigan openings. Find roles that fit your experience and apply directly to the employers posting them.
See All 13 AI Architect Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
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