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Embedded Ai Engineer Jobs in Michigan (NOW HIRING)

Mastronardi Produce Limited

AI Engineer

Livonia, MI · On-site

The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ... and embedded directly into business systems and processes. This is a hands-on individual ...

Sunset Grown

AI Engineer

Livonia, MI · On-site

The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ... and embedded directly into business systems and processes. This is a hands-on individual ...

Crowe LLP

AI Solutions Consulting Lead

Grand Rapids, MI · On-site +1

About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with organizations to accelerate AI-driven transformation through embedded consulting, hands-on solution ...

Bosch Group

Technical Lead- AI Cockpit

Plymouth, MI

You will work at the intersection of AI, embedded systems, and automotive software, shaping ... BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives · ...

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Embedded Ai Engineer information

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$61K

$133.7K

$151.7K

How much do embedded ai engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for embedded ai engineer in Michigan is $133,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $150,800.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

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

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

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

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

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

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

What job categories do people searching Embedded Ai Engineer jobs in Michigan look for?

The top searched job categories for Embedded Ai Engineer jobs in Michigan are:

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

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

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Michigan as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $133,688 per year, or $64.3 per hour.

AI Engineer

Livonia, MI • On-site

Mastronardi Produce Limited
Agriculture • 1 - 5K employees

6.9

Company rating: 6.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

34th of 65 rated farming

Good training

Learn more about Mastronardi Produce Limitedexternal

Full-time

Re-posted 5 days ago

Job description

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now the leading greenhouse vegetable company on the continent. Our award-winning, flavorful produce is packed under the SUNSET® brand and is available at leading grocery retailers across North America. Family owned for over 70 years, we pride ourselves on having the most flavorful products and the best people in the industry. We are constantly pushing boundaries to be a leader in fresh produce innovation. We seek individuals that demonstrate our PRIDE values (Passion, Respect, Innovation, Drive, Excellence) to help us fulfill our mission to inspire healthy living through WOW flavor experiences.
Our corporate office in Livonia Michigan is currently seeking an AI Engineer to join our team. The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and integrations that extend Mastronardi's AI Enablement platform across the business. The role focuses on turning AI capabilities - large language models, retrieval, and agentic workflows - into production-ready tools that are reliable, governed, and embedded directly into business systems and processes. This is a hands-on individual contributor role: the AI Engineer writes code, builds integrations, and ships working solutions directly, with accountability for the technical architecture, performance, and security of every solution deployed.
Values:
To perform the job successfully, the incumbent's behavior must be consistent with the PRIDE values expected of all Mastronardi Produce employees: be Passionate; have Respect; be Innovative; be Driven and strive for Excellence.
Primary Responsibilities:
  • Design, build, and deploy AI-powered applications and integrations that connect large language models (e.g., Claude, Azure OpenAI) to business systems and data sources.
  • Build retrieval-augmented generation (RAG) pipelines and knowledge bases that ground AI outputs in accurate, current company data.
  • Develop and refine prompts, system instructions, and evaluation frameworks to ensure AI outputs are accurate, consistent, and auditable.
  • Build the initial APIs, connectors, and integration logic between AI platforms and enterprise systems (ERP, WMS, data platforms, Microsoft 365) as part of solution design, handing off production deployment and ongoing operation to Cloud Operations & Infrastructure.
  • Define the guardrails, audit points, and monitoring requirements AI solutions need so outputs can be reviewed, debugged, and improved after deployment, partnering with Cloud Operations & Infrastructure on the monitoring infrastructure that implements them.
  • Test AI solutions rigorously before release, including functional testing, edge-case validation, and structured evaluation against real business scenarios.
  • Partner with the Data Engineering and Data Governance teams to ensure AI solutions use well-structured, quality data and comply with security and privacy requirements.
  • Stay current on the AI tooling landscape (models, frameworks, agent platforms) and recommend where new capabilities apply to real business problems.
  • Build reusable components, templates, and internal libraries that speed up delivery of future AI solutions.
  • Create and maintain clear technical documentation for all solutions, architectures, and operating procedures.
  • Ensure all solutions align with IT governance, security, and compliance standards.
  • Design and maintain evaluation suites and benchmarks to track model and prompt performance over time, catching regressions before they reach production.
  • Contribute to architecture decisions on model selection and hosting (e.g., Azure AI Foundry vs. direct API integration), weighing cost, performance, and reliability tradeoffs.
  • Support incident response for AI-related production issues and participate in post-incident reviews to identify root cause and prevent recurrence.

Education/Background Requirements:
  • At least 5 years experience in AI Engineering
  • Diploma/Degree in related discipline
  • Software development experience in Python (required) and at least one other language (e.g., JavaScript/TypeScript, C#, or similar).
  • Hands-on experience building applications with large language models - prompt engineering, RAG, tool/function calling, and agentic workflows.
  • Experience with LLM platforms and APIs such as Claude (Anthropic), Azure OpenAI, or equivalent.
  • Experience building and consuming REST APIs and integrating disparate systems.

Specific Knowledge, Skills and Abilities Required
  • Working knowledge of vector databases, embeddings, and retrieval techniques.
  • SQL: ability to query, join, and filter data across relational databases.
  • Experience with cloud platforms (Microsoft Azure preferred) including AI/ML services such as Azure AI Foundry.
  • Version control and CI/CD practices (Git, automated testing, deployment pipelines).
  • Understanding of AI safety, governance, and evaluation practices - ensuring outputs are auditable and appropriate for business use.
  • Familiarity with ERP or enterprise data structures (Microsoft Dynamics NAV/365, SAP, or equivalent) is an asset.
  • Understanding of responsible AI practices, including bias evaluation and hallucination mitigation, to keep model outputs safe and appropriate for business use.
  • Experience with containerization and deployment tooling (e.g., Docker, Azure App Service or Functions) is an asset.

Working Conditions:
  • Typical office environment.

Please note: Mastronardi Produce has accommodation processes and policies in place and provides accommodation for employees with disabilities. If you require a specific accommodation because of a disability or documented medical need, please contact the Human Resource office so that arrangements can be made for the appropriate accommodation to be put into place.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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