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Azure Ai Engineer Jobs in Michigan (NOW HIRING)

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 ...

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 ...

Ilitch

Applied AI Engineer

Detroit, MI

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 ...

Little Caesars

Applied AI Engineer

Detroit, MI · On-site

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

Little Caesars

Applied AI Engineer

Detroit, MI

$113K - $136K/yr

Job Summary:The Applied AI Engineer turns ideas into production-ready AI solutions spanning ... Azure AI Foundry, Microsoft Fabric, or Azure Data Factory Working Conditions: This position may ...

cyberThink, Inc.

AI/ML Engineer

Ann Arbor, MI · On-site

Mid-Level AI Engineer / AI Developer Position Summary: We are seeking a Mid-Level AI Engineer to ... Experience working with cloud platforms such as: o Azure o AWS o Google Cloud Platform * Strong ...

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 ...

Amway

Sr AI Engineer

Ada, MI · On-site

$115K - $142K/yr

Experience working in at least one major cloud AI platform (AWS, GCP, or Azure) * Strong software engineering fundamentals: testing, code review, CI/CD, version control, and documentation

Amway Inc.

Sr AI Engineer

Ada, MI

$115K - $142K/yr

Experience working in at least one major cloud AI platform (AWS, GCP, or Azure) * Strong software engineering fundamentals: testing, code review, CI/CD, version control, and documentation

Pwc

AI Engineer

Grand Rapids, MI

$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 ...

Corning

$111K - $146K/yr

Cloud experience with Azure, AWS, or GCP. Experience mentoring junior engineers or helping define ... Opportunity to be part of a growing AI engineering team focused on practical enterprise AI ...

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 ...

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How much do azure ai engineer jobs pay per hour?

As of Jul 31, 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.

Which 3 jobs will survive AI?

Azure AI Engineers, data scientists, and cybersecurity specialists are likely to remain in demand as AI advances, since their roles involve complex problem-solving, ethical considerations, and managing AI systems. These jobs require specialized skills, certifications, and ongoing learning to adapt to evolving technologies.

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI engineer or data scientist, with a total compensation package that includes salary, bonuses, and stock options reaching or exceeding that amount annually. These roles often require advanced skills in machine learning, deep learning, and cloud platforms like Azure, along with significant experience and certifications. Such compensation is usually found in senior or executive-level positions within large tech companies or specialized AI firms.

How much do Azure AI engineers make?

Azure AI engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in machine learning and cloud architecture can earn higher salaries. Compensation often includes benefits such as health insurance and professional development opportunities.

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.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. These roles often require expertise in cloud platforms like Azure, strong programming skills, and sometimes leadership responsibilities or stock options.

What is an Azure AI Engineer job?

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 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? The top searched job categories for Azure Ai Engineer jobs in Michigan are:
Azure Ai Engineer jobs near you
Infographic showing various Azure Ai Engineer job openings in Michigan as of July 2026, with employment types broken down into 64% Full Time, 7% Part Time, and 29% Contract. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $97,228 per year, or $46.7 per hour.

AI Engineer

Sunset Grown

Livonia, MI • On-site

Full-time

Posted 10 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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