Senior AI Product Designer Jobs in Michigan
Senior AI Product Designer jobs in Michigan are concentrated in automotive technology, enterprise software, and healthcare innovation, with Detroit, Ann Arbor, and Grand Rapids anchoring most of the hiring activity. Companies like Ford, General Motors, and Rocket Companies maintain large product and design teams in Michigan and regularly seek senior designers who can bridge machine learning systems with human-centered interfaces. The most in-demand specialties are conversational AI design, autonomous systems UX, and AI-assisted enterprise tooling. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 19+ Senior AI Product Designer jobs
- Design, implement, and evolve a scalable enterprise data architecture that supports telematics, operational, and enterprise data, including foundational data models, schemas, integration frameworks, and lakehouse architectures, while ensuring performance, reliability, cost efficiency, and scalability.
- Build, maintain, and optimize cloud-based data pipelines and large-scale data processing workflows to support analytics, AI, and enterprise reporting needs.
- Develop and manage ingestion pipelines for high-volume streaming and batch telemetry data from forklifts, sensors, gateways, APIs, and edge devices, ensuring reliable, scalable, and standardized data capture.
- Integrate data across enterprise systems including ERP, CRM, service management, parts and warranty systems, and vendor telematics platforms, while supporting master data alignment across assets, customers, equipment, and locations.
- Standardize, normalize, enrich, and prepare machine-generated and operational data to support predictive maintenance, operational intelligence, predictive analytics, and generative AI or RAG-based applications.
- Collaborate with IT, Analytics, Product Management, Service teams, and third-party vendors to translate business and operational requirements into scalable technical solutions, data integrations, and long-term data strategy contributions.
- Partner with internal technology stakeholders to support data governance, security, access controls, observability, DevOps/DataOps practices, and ongoing optimization of platform performance and cloud costs.
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 7+ years of experience in data engineering, data architecture, or cloud-based data platforms
- Strong proficiency in SQL and Python
- Proven experience building and supporting ETL/ELT pipelines and large-scale data processing workflows
- Hands-on experience with cloud platforms, with Microsoft Azure preferred
- Experience working with modern data platforms such as Databricks, Snowflake, Azure Data Factory, and/or Kafka or other event streaming technology
- Strong understanding of data modeling, schema design, database optimization, and data integration patterns
- Experience working with APIs, JSON, streaming data, and IoT or telematics data structures
- Experience in industrial equipment, fleet management, logistics, manufacturing, automotive telematics, or IoT platforms
- Familiarity with predictive maintenance, condition monitoring, or asset optimization concepts
- Experience supporting machine learning or AI-driven applications
- Exposure to edge computing or hybrid cloud and edge architectures
- Experience working with data governance considerations across multiple geographic regions, including North America and Europe
- Prior collaboration with third-party vendors or OEMs on data integrations and platform implementations
- Medical, dental, and vision benefits
- Paid Vacation, Sick Time, and Paid Holidays
- Profit Sharing Opportunities
- Flexible Spending and HSA Accounts
- 401k with automatic company contribution and company match
- Short-term and long-term disability insurance
- Life, Dependent Life, and AD&D Insurance
- Paid Parental Leave (Includes 6-8 weeks of maternity leave and 5 days of paternity leave)
- Employee Assistance Program
- Employee Discounts
- On-site fitness center (Houston)
- On-the-job training and development
- Design, implement, and evolve a scalable enterprise data architecture that supports telematics, operational, and enterprise data, including foundational data models, schemas, integration frameworks, and lakehouse architectures, while ensuring performance, reliability, cost efficiency, and scalability.
- Build, maintain, and optimize cloud-based data pipelines and large-scale data processing workflows to support analytics, AI, and enterprise reporting needs.
- Develop and manage ingestion pipelines for high-volume streaming and batch telemetry data from forklifts, sensors, gateways, APIs, and edge devices, ensuring reliable, scalable, and standardized data capture.
- Integrate data across enterprise systems including ERP, CRM, service management, parts and warranty systems, and vendor telematics platforms, while supporting master data alignment across assets, customers, equipment, and locations.
- Standardize, normalize, enrich, and prepare machine-generated and operational data to support predictive maintenance, operational intelligence, predictive analytics, and generative AI or RAG-based applications.
- Collaborate with IT, Analytics, Product Management, Service teams, and third-party vendors to translate business and operational requirements into scalable technical solutions, data integrations, and long-term data strategy contributions.
- Partner with internal technology stakeholders to support data governance, security, access controls, observability, DevOps/DataOps practices, and ongoing optimization of platform performance and cloud costs.
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 7+ years of experience in data engineering, data architecture, or cloud-based data platforms
- Strong proficiency in SQL and Python
- Proven experience building and supporting ETL/ELT pipelines and large-scale data processing workflows
- Hands-on experience with cloud platforms, with Microsoft Azure preferred
- Experience working with modern data platforms such as Databricks, Snowflake, Azure Data Factory, and/or Kafka or other event streaming technology
- Strong understanding of data modeling, schema design, database optimization, and data integration patterns
- Experience working with APIs, JSON, streaming data, and IoT or telematics data structures
- Experience in industrial equipment, fleet management, logistics, manufacturing, automotive telematics, or IoT platforms
- Familiarity with predictive maintenance, condition monitoring, or asset optimization concepts
- Experience supporting machine learning or AI-driven applications
- Exposure to edge computing or hybrid cloud and edge architectures
- Experience working with data governance considerations across multiple geographic regions, including North America and Europe
- Prior collaboration with third-party vendors or OEMs on data integrations and platform implementations
- Medical, dental, and vision benefits
- Paid Vacation, Sick Time, and Paid Holidays
- Profit Sharing Opportunities
- Flexible Spending and HSA Accounts
- 401k with automatic company contribution and company match
- Short-term and long-term disability insurance
- Life, Dependent Life, and AD&D Insurance
- Paid Parental Leave (Includes 6-8 weeks of maternity leave and 5 days of paternity leave)
- Employee Assistance Program
- Employee Discounts
- On-site fitness center (Houston)
- On-the-job training and development
See All 19 Senior AI Product Designer Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
Find JobsSenior AI Product Designer Jobs by City in Michigan
Where Michigan roles are concentrated, by current openings.
Senior AI Product Designer Job Market in Michigan
A snapshot from current Michigan openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Automotive
- Electronics & Hardware
- Banking & Financial Services
What Michigan Employers Look For
The qualifications that appear most often in senior AI product designer jobs across Michigan.
- Bachelor's or master's degree in interaction design, HCI, or a related field
- Five or more years of product design experience with at least two in AI or ML-driven products
- Demonstrable portfolio of shipped AI features including conversational or generative interfaces
- Proficiency in Figma, prototyping tools, and design system documentation at scale
- Experience collaborating directly with machine learning engineers and data scientists on product teams
- Strong facilitation skills for cross-functional workshops, design critiques, and stakeholder reviews
Senior AI Product Designer Jobs in Michigan: Frequently Asked Questions
How do you become a senior ai product designer in Michigan?
Most senior ai product designer roles in Michigan require a bachelor's degree in interaction design, human-computer interaction, or a closely related discipline, with a master's degree increasingly preferred at larger companies. Michigan imposes no state-issued license or registration for this role. Advancement typically comes through building a portfolio that demonstrates shipped AI products, then moving into senior roles at Michigan's automotive technology firms, health systems, or fintech companies, where design maturity and cross-functional leadership carry the most weight.
Which companies hire senior ai product designers in Michigan?
Michigan senior ai product designer roles are posted by Stellantis, Collabera, and General Motors (GM) and others right now, based on current listings on Migrate Mate as of July 2026. Michigan's automotive and mobility sector, anchored in the Detroit metro, creates a particularly distinctive demand for senior ai product designers with experience in embedded systems, driver assistance interfaces, and in-vehicle AI.
Which Michigan cities have the most senior ai product designer jobs?
Auburn Hills, Warren, and Southfield have the most senior ai product designer openings in Michigan. Detroit and its suburbs dominate because Ford, General Motors, and Stellantis have major design and technology campuses there, while Ann Arbor draws openings from the University of Michigan's research spinouts and the concentration of software and health-tech companies that cluster around that university ecosystem.
Are there remote senior ai product designer jobs in Michigan?
Yes, and more than most design disciplines. About 17% of senior ai product designer openings tied to Michigan are remote or hybrid as of July 2026, reflecting the field's strong orientation toward digital collaboration and distributed product teams. Strategic and systems-level design work, such as defining AI interaction patterns and design system governance, tends to be the most remote-compatible, while roles that require close lab or hardware collaboration are more likely to require on-site presence.
How can I get hired as a senior ai product designer in Michigan with little or no experience?
The most realistic entry path is through a junior or mid-level product designer role at a Michigan company that actively builds AI features, then earning a promotion by owning a discrete AI surface end-to-end. Ford and General Motors both run structured product design programs for early-career candidates. Lateral moves from UX research, front-end development, or data visualization positions are common. A portfolio with even one self-initiated or academic AI design project, combined with demonstrated familiarity with prompt-based or generative tools, gives Michigan applicants a meaningful edge over candidates with no AI context.
Where can I find and apply to senior ai product designer jobs in Michigan?
You can find and apply to senior ai product designer jobs in Michigan on Migrate Mate, which lists current Michigan openings. Search the listings, find the roles that match your background and preferences, and apply directly to whichever ones fit.
See All 19 Senior AI Product Designer Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
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