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Azure Ai Engineer Jobs in Michigan (NOW HIRING)

Mastronardi Produce Limited

Cloud DevOps Engineer

Livonia, MI · On-site

$49.25 - $67.50/hr

This is a hands-on individual contributor role: the Automation Engineer writes code and scripts ... AI Platform Operations & Automation * Deploy, configure, and operate Azure AI Foundry agents ...

HTC Global Services

AI Engineer (GenAI & RAG)

Grand Rapids, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

SwiftCruit

Senior Engineer, AI

Novi, MI · On-site

$90.75 - $133.10/hr

Engineer audio systems and integrated technology platforms that augment the driving experience ... Experience integrating with model providers and enterprise AI platforms such as Azure OpenAI ...

Versigent

AI Build Engineer Manager

Troy, MI

  • Medical

  • Life

  • PTO

AI BUILD ENGINEER MANAGER Versigent designs and delivers the systems that move power through modern ... Deep proficiency in Azure and/or AWS AI services, serverless inference, and managed Kubernetes ...

Versigent

AI Build Engineer Manager

Troy, MI · On-site

  • Medical

  • Life

  • PTO

AI BUILD ENGINEER MANAGER Versigent designs and delivers the systems that move power through modern ... Deep proficiency in Azure and/or AWS AI services, serverless inference, and managed Kubernetes ...

General Motors

Staff Automation & Platform Engineer

Warren, MI

$160K - $246K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... Glean, Databricks, and Azure AI Foundry - while extending a software engineering mindset ... testability, reliability, and maintainability - to agentic and automation systems, and helping ...

General Motors

Staff Automation & Platform Engineer

Warren, MI · On-site

$160K - $246K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Glean, Databricks, and Azure AI Foundry - while extending a software engineering mindset ... testability, reliability, and maintainability - to agentic and automation systems, and helping ...

General Motors

Staff Automation & Platform Engineer

Warren, MI · On-site

$160K - $246K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Glean, Databricks, and Azure AI Foundry - while extending a software engineering mindset ... testability, reliability, and maintainability - to agentic and automation systems, and helping ...

Reliable Software Resources

Lead Gen AI Engineer

Detroit, MI · On-site

$93K - $123K/yr

Deep experience across multi-cloud environments (Azure, AWS preferred) * Strong background in containerization and orchestration (Kubernetes, Docker) * Familiarity with AI/ML application architecture ...

New

Software People, Inc.

AI Developer

Lansing, MI · On-site

The resource also provides technical oversight to developers in the team that support other ... Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI services for document ...

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All JobsAzure Ai Engineer JobsAzure Ai Engineer Jobs in Michigan

Azure Ai Engineer information

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How much do azure ai engineer jobs pay per hour?

As of Aug 14, 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 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.

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's AI services, machine learning, and data management. The role often requires knowledge of Azure tools, programming skills, and certifications, making it a valuable and sought-after position in the tech industry.

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 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 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 August 2026, with employment types broken down into 75% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $97,228 per year, or $46.7 per hour.

Cloud DevOps Engineer

Mastronardi Produce Limited

Livonia, MI • On-site

$49.25 - $67.50/hr

Full-time

Posted 24 days ago

Mastronardi Produce rating

6.9

Company rating: 6.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd 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 DevOps Cloud Engineer to join our team! The Cloud/DevOps Automation Engineer owns the full lifecycle of Mastronardi's cloud infrastructure, DevOps practices, and AI platform operations - from provisioning and securing Azure infrastructure to deploying, integrating, monitoring, and scaling the automation and AI systems that increasingly run the business.
This role sits at the intersection of traditional infrastructure engineering and applied AI operations. It covers infrastructure-as-code, CI/CD, containerization, networking, and observability across Azure, as well as the deployment, integration, monitoring, and scaling of AI platforms such as Azure AI Foundry, Make.com automation scenarios, and the agentic workflows built by the AI Enablement team.
This is a hands-on individual contributor role: the Automation Engineer writes code and scripts, configures infrastructure, deploys and operates AI systems, and runs all of it directly in production - providing critical redundancy for cloud and AI-platform work that currently depends on a single person, and building the operational backbone that lets Mastronardi scale its automation and AI investments safely.
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:
Cloud Infrastructure & DevOps
  • Deploy and manage Azure infrastructure (VMs, networking, storage, identity) using infrastructure-as-code (ARM/Bicep, Terraform, or equivalent) rather than manual configuration.
  • Design, build, and maintain CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent) for infrastructure changes, automations, and AI platform deployments.
  • Build and maintain containerized workloads (Docker) and, where applicable, orchestration (Kubernetes/AKS or Azure Container Apps) for infrastructure and AI services.
  • Implement configuration management and patching practices to keep servers, VMs, and platform components current, consistent, and secure.
  • Design and maintain networking, identity, and access controls (Microsoft Entra ID, RBAC, network security groups) for infrastructure and platform integrations.
  • Build monitoring, logging, and alerting (Azure Monitor, Log Analytics, or equivalent) across infrastructure, automations, and AI systems so issues are caught before they affect the business.
  • Own backup, disaster recovery, and business continuity procedures for infrastructure and automation/AI platforms under this role's care.
  • Manage cloud cost and capacity planning, right-sizing resources and identifying optimization opportunities.
  • Participate in an on-call/incident response rotation, performing root-cause analysis and driving remediation for production issues.
  • Cross-train other Cloud Operations & Infrastructure team members to reduce single-person dependency across infrastructure, automation, and AI-platform responsibilities.

AI Platform Operations & Automation
  • Deploy, configure, and operate Azure AI Foundry agents, models, and endpoints, connecting them to the systems and data they need to run reliably in production.
  • Build, maintain, and troubleshoot automation scenarios in Make.com (and comparable platforms) that connect business systems, data sources, and AI capabilities.
  • Build and operate the infrastructure and integration layer that lets AI Enablement's agentic workflows execute reliably at scale - including queues, retries, and error handling for multi-step AI processes.
  • Implement observability specific to AI workloads - tracking latency, token usage/cost, and failure rates for LLM calls and agent runs - and alert on anomalies.
  • Manage versioning and rollout of AI models, prompts, and agent configurations, coordinating with the AI Enablement team so changes deploy safely without breaking production integrations.
  • Implement guardrails and access controls around AI platforms and agents to keep usage secure, auditable, and within approved scope.
  • Build and maintain integrations and connectors between Power Automate, Make.com, APIs, and enterprise systems (ERP, WMS, data platforms) that AI-driven processes depend on.
  • Support scaling of AI inference and automation workloads as usage grows, adjusting infrastructure and platform configuration to maintain performance.
  • Partner with the AI Enablement team to take AI solutions from a working build to a reliably operated, monitored production integration.
  • Evaluate and recommend new automation, orchestration, and AI infrastructure tooling as Mastronardi's AI and automation footprint expands.
  • Delivery, Documentation & Governance
  • Test infrastructure changes, automations, and AI deployments thoroughly before release, including functional testing, failure-mode testing, and rollback planning.
  • Maintain a library of reusable scripts, templates, and automation patterns to reduce single-person dependency and speed up delivery of future changes.
  • Create and maintain clear documentation for all infrastructure, automations, AI deployments, and operating procedures, so no single person is the only source of knowledge.
  • Ensure all infrastructure, automations, and AI platform work align with IT governance, security, and compliance standards.

Education/Background Requirements:
  • Bachelor's degree in computer science, information systems, or a related field.

Specific Knowledge, Skills and Abilities Required
  • Cloud & DevOps
  • Microsoft Azure: deploying and managing VMs, networking, storage, and identity using infrastructure-as-code (ARM/Bicep, Terraform, or equivalent).
  • CI/CD: building and maintaining pipelines (Azure DevOps, GitHub Actions, or equivalent) for infrastructure and application deployments.
  • Containerization: hands-on experience with Docker required; Kubernetes/AKS or Azure Container Apps is an asset.
  • Scripting/programming experience (PowerShell, Python, or similar) for infrastructure automation and custom integrations.
  • Networking and identity: experience with Microsoft Entra ID, RBAC, network security groups, and related access-control practices.
  • Monitoring and observability: experience with Azure Monitor, Log Analytics, Grafana, or equivalent for production infrastructure.
  • Backup, disaster recovery, and patching practices for production infrastructure.
  • Cloud cost management and optimization practices (Azure Cost Management or equivalent).
  • SQL: ability to query, join, and filter data across relational databases.
  • ERP or enterprise systems experience (Microsoft Dynamics NAV/365, SAP, or equivalent) is an asset
  • AI & Automation Platforms
  • Hands-on experience with Make.com (or a comparable integration/automation platform such as Zapier or n8n), including building, debugging, and maintaining production scenarios.
  • Experience deploying and operating AI platforms such as Azure AI Foundry - connecting agents and models to production systems and data.
  • Understanding of agentic AI and multi-step autonomous workflows, and how to operate and monitor them reliably in production.
  • Familiarity with LLM observability concepts - tracking latency, token usage/cost, and evaluating agent or model output quality in production.
  • Experience building and consuming REST APIs, webhooks, and system-to-system integrations connecting AI platforms to enterprise systems.
  • Microsoft Power Automate and Power Platform: building and maintaining automated workflows.
  • Understanding of AI governance and security practices - guardrails, access control, and auditability for production AI systems.
    • Exposure to MLOps/LLMOps concepts (model and prompt versioning, safe rollout practices) 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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