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Azure 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 ... Contribute to architecture decisions on model selection and hosting (e.g., Azure AI Foundry vs ...

Sunset Grown

AI Engineer

Livonia, MI · On-site

The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ... Contribute to architecture decisions on model selection and hosting (e.g., Azure AI Foundry vs ...

Ilitch

Applied AI Engineer

Detroit, MI · On-site

The Applied AI Engineer turns ideas into production-ready AI solutionsspanning feasibility, data ... such as Azure AI Foundry, Microsoft Fabric, or Azure Data Factory Working Conditions: * This ...

Corning

$93K - $122K/yr

At Corning, we are looking for a Lead AI Engineer to help guide the design, development ... Azure, AWS, or GCP. -Experience defining reusable architecture patterns, technical standards, or ...

Corning

At Corning, we are looking for a Lead AI Engineer to help guide the design, development ... Cloud experience with Azure, AWS, or GCP.Experience defining reusable architecture patterns ...

Pwc

AI Engineer

Grand Rapids, MI · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Pwc

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

OneStream

AI Engineer

Birmingham, MI · On-site

AI Engineer Location :Hybrid, United States Employment Type :Full-Time Benefits Offered :Vision ... Knowledge of distributed systems and cloud-based computing (Azure). Knowledge, Skills, and ...

OneStream Software

AI Engineer

Birmingham, MI · On-site

Description AI Engineer Location : Hybrid, United States Employment Type : Full-Time Benefits ... Knowledge of distributed systems and cloud-based computing (Azure). Knowledge, Skills, and ...

OneStream

AI Engineer

Birmingham, MI · Remote

AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered ... Knowledge of distributed systems and cloud-based computing (Azure). Knowledge, Skills, and ...

HTC Global Services, Inc.

AI Engineer

Grand Rapids, MI · On-site

$120 - $180/hr

Knowledge of Azure services. * Understanding of APIs, microservices, and distributed systems. * Knowledge of vector databases. * Understanding of DevOps/CI-CD pipelines for machine learning and AI.

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How much do azure ai engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for azure ai engineer in Michigan is $46.74, according to ZipRecruiter salary data. Most workers in this role earn between $37.69 and $54.28 per hour, depending on experience, location, and employer.

What is an Azure AI Engineer?

An Azure AI Engineer is responsible for designing, developing, and deploying AI solutions using Microsoft Azure services. They work with AI models, machine learning, and cognitive services to build intelligent applications. Their role includes data preprocessing, model training, optimization, and integration with cloud-based systems. Azure AI Engineers collaborate with data scientists and developers to enhance AI-driven solutions for business needs. Proficiency in Azure Machine Learning, AI services, and programming languages like Python is essential for the role.

What are the typical daily responsibilities of an Azure AI Engineer?

An Azure AI Engineer typically spends their day designing, building, and deploying AI and machine learning models using Azure's suite of cloud-based tools. Tasks often include data preprocessing, model training and evaluation, integrating AI solutions with existing applications, and optimizing system performance for reliability and scalability. Collaboration is common, with frequent interactions with data scientists, developers, and IT specialists to ensure seamless implementation of AI solutions. This role also involves staying updated with the latest Azure features and industry trends to deliver cutting-edge, efficient solutions for business challenges.

What are the key skills and qualifications needed to thrive in the Azure AI Engineer position, and why are they important?

To thrive as an Azure AI Engineer, you need a strong foundation in artificial intelligence, machine learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency in Microsoft Azure services (such as Azure Machine Learning, Cognitive Services, and Databricks), along with certifications like Microsoft Certified: Azure AI Engineer Associate, is highly valued. Effective problem-solving, teamwork, and strong communication skills help Azure AI Engineers work efficiently in cross-functional teams. These abilities are essential to deliver scalable AI solutions that align with business objectives and industry best practices.

Is Azure AI in demand?

Azure AI engineers are in high demand as organizations increasingly adopt cloud-based AI solutions and require expertise in Azure services, machine learning, and AI model deployment. The role often requires knowledge of Azure tools, programming skills, and certifications, reflecting strong industry growth in cloud AI development.

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

The most popular types of Azure Ai Engineer jobs in Michigan are:

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

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

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

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Azure Ai Engineer jobs near you
Infographic showing various Azure Ai Engineer job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $97,228 per year, or $46.7 per hour.

AI Engineer

Mastronardi Produce Limited

Livonia, MI • On-site

Full-time

Re-posted 4 days ago

Mastronardi Produce rating

6.9

Company rating: 6.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

34th of 65 rated farming

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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