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Remote Embedded Ai Jobs in Michigan (NOW HIRING)

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

Embraces AI as part of a modern engineering toolkit Location and travel : Fully remote role and ... Our teams work across FPGA/DSP, hardware, embedded software, verification, SI/PI, PCB layout, and ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

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Remote Embedded Ai information

What is a remote embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.

What are some common challenges faced by remote embedded AI engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

What are the most commonly searched types of Embedded Ai jobs in Michigan?

The most popular types of Embedded Ai jobs in Michigan are:

What are popular job titles related to Remote Embedded Ai jobs in Michigan?

For Remote Embedded Ai jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Remote Embedded Ai jobs?

Cities in Michigan with the most Remote Embedded Ai job openings:

Infographic showing various Remote Embedded Ai job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Sr AI & Product Transformation Manager

Huntington

Birmingham, MI • On-site, Remote

$125K - $255K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago


Key responsibilities

  • Lead, coach, and develop a transformation team responsible for strategy, design, execution, and enterprise adoption.

  • Lead the product transformation strategy, establishing standards for product operating models, including ownership, funding, staffing, prioritization, and governance.

  • Drive AI strategy for assigned products by managing workstreams around AI fluency, governance, platforms, and enablement to accelerate implementations.


Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 174 frontline employees who took The Breakroom Quiz

67th of 175 rated banks


Job description

Description

Summary:

The Sr AI & Product Transformation Manager is responsible for leading Huntington’s transition to a scalable product-based operating model while defining how artificial intelligence is embedded across the bank to accelerate growth, improve client outcomes, and increase operational efficiency.  While anchored in Technology, this role partners with business, product, and functional leaders to establish consistent standards, governance, prioritization, and value realization practices that align Technology execution to business and customer outcomes.

Duties and Responsibilities:

  • Lead, coach, and develop a high-performing transformation team responsible for strategy, design, execution, and enterprise adoption.
  • Lead the product transformation strategy, for assigned product(s), shifting Technology from initiative-based delivery to a scalable product-based operating model.  Establish product operating model standards, including ownership, funding, staffing, intake, prioritization, roadmap planning, governance, cadence, and performance management.
  • Lead AI strategy for assigned product (s) by driving workstreams around (1) AI Fluency including GenAI, Agent usage, model training, inference optimization, MCPs, and AI control needs, (2) AI Governance, (3) AI Platforms including reusable Agent capabilities, and (4) AI Enablement to accelerate implementations across segments.
  • Partner with Technology, Data, Risk, Finance, HR, Legal, Compliance, Operations, and business leaders to ensure scalable, governed execution of product and AI transformation priorities.
  • Define and track value realization measures, including speed to market, delivery efficiency, product performance, AI adoption, and measurable business outcomes, at the product level.
  • Advise senior Technology and business leaders on product maturity, operating model effectiveness, AI enablement, and continuous improvement opportunities.
  • Perform other duties as assigned.

Basic Qualifications:

  • Bachelor’s degree in business, technology, or a related, or equivalent education and experience
  • Minimum 10 years of exp strategy, transformation, product management, technology, or a related and 3 years’ experience managing teams. Typically seeking 5 years’ experience managing teams.
  • Experience leading large scale transformations through senior leader communication, assisting in defining product direction, and driving alignment across large, complex stakeholder groups.

Preferred Qualifications:

  • Advanced degree (e.g., MBA, MS, or equivalent).
  • Experience with large scale product operating model transformations within Technology organizations.
  • Demonstrated success influencing senior stakeholders across Technology and business product organizations to drive alignment and measurable outcomes.
  • Solid understanding of modern product management, agile delivery, roadmap planning, lifecycle management, and outcome-based prioritization.
  • Experience translating AI capabilities into practical business strategies, adoption models, and measurable value.
  • Experience operating in highly regulated industries, with solid understanding of governance, risk, and compliance considerations.
  • Strong ability managing and building a high performing team(s), and fostering a culture of accountability, innovation, and continuous improvement.
  • Strong demonstrated experience with MS Word, Excel, PowerPoint, and O365.
  • Proven ability shaping product strategy by aligning technology investments to business priorities, anticipating market shifts, and influencing leadership decisions.
  • Experience delivering successfully in financial services or highly regulated industries.


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Applications Accepted Through:

09/30/2026

Huntington expects to accept applications through at least the date above, and may continue to accept applications until the position is filled.

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

125,000.00 - 255,000.00 USD Annual

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). 

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.


What Huntington National Bank employees say

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