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Ai Devops Engineer Jobs in Michigan (NOW HIRING)

Datamaxis

Lead DevOps Engineer

Dearborn, MI · On-site

$120 - $160/hr

Job Summary The DevOps Lead will design, implement, and support agile solutions and processes leveraged by applications hosted in our Microsoft Azure environment. This role is pivotal in driving ...

DATAMAXIS

Lead DevOps Engineer

Dearborn, MI

$48.50 - $66.50/hr

The DevOps Lead will design, implement, and support agile solutions and processes leveraged by applications hosted in our Microsoft Azure environment. This role is pivotal in driving continuous ...

HTC Global Services

DevOps Engineer - Senior

Dearborn, MI · On-site

$48.50 - $66.50/hr

Job Title: DevOps Engineer Overview We are seeking an experienced DevOps Engineer to build, maintain, and optimize infrastructure, automation, and deployment processes across the software development ...

DATAMAXIS

Lead DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

The DevOps Lead will design, implement, and support agile solutions and processes leveraged by applications hosted in our Microsoft Azure environment. This role is pivotal in driving continuous ...

HTC Global Services Inc

DevOps Engineer - Senior

Dearborn, MI · On-site

$48.75 - $66.75/hr

Job Title: DevOps Engineer Overview We are seeking an experienced DevOps Engineer to build, maintain, and optimize infrastructure, automation, and deployment processes across the software development ...

HTC Global Services

DevOps Engineer - Senior

Dearborn, MI · On-site

$48.50 - $66.50/hr

Job Title: DevOps Engineer Overview We are seeking an experienced DevOps Engineer to build, maintain, and optimize infrastructure, automation, and deployment processes across the software development ...

Staffingine LLC

Lead DevOps Engineer

Detroit, MI · On-site

$52.25 - $71.50/hr

Lead DevOps Engineer Job Location: Detroit, MI Job Type: Contract * Collaborate with Agile development teams to design, implement, and maintain a secure software development lifecycle and automated ...

Becton, Dickinson and Company

$47.75 - $65.25/hr

The Staff DevOps Engineer will serve as the organization's subject matter expert for Salesforce DevOps, leading the strategic direction, operational support, and continuous optimization of our ...

Actalent

Devsecops Engineer

Troy, MI

$49.75 - $68/hr

... DevOps-based engineering models, and mentor teams as they modernize their development lifecycle. The position offers the opportunity to shape technical architectures, integrate AI-assisted ...

FastTek

DevOps Specialist

Dearborn, MI

$48.50 - $66.50/hr

... s engineer or a similar software engineering role. * Experience with embedded systems build and ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

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Showing results 21-40

All JobsAi Devops Engineer JobsAi Devops Engineer Jobs in Michigan

Ai Devops Engineer information

See Michigan salary details

$14

$52

$75

How much do ai devops engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai devops engineer in Michigan is $52.76, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $60.53 per hour, depending on experience, location, and employer.

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

To thrive as an AI DevOps Engineer, you need expertise in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD systems, version control (e.g., Git), and cloud platforms (AWS, Azure, GCP), as well as certifications such as AWS Certified DevOps Engineer, are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project requirements. These competencies are essential to ensure robust, scalable, and efficient deployment of AI solutions in production environments.

What is an AI DevOps engineer?

AI DevOps Engineers are professionals who blend expertise in artificial intelligence (AI) and DevOps practices to streamline the development, deployment, and maintenance of AI-powered applications. They automate and manage the continuous integration and continuous deployment (CI/CD) pipelines for machine learning models, ensuring scalability, reliability, and efficiency in production environments. Their role also includes monitoring AI systems, managing model versions, and collaborating with data scientists, software engineers, and IT teams to bridge the gap between development and operations. This position is crucial for organizations looking to operationalize AI solutions at scale.

How does an AI DevOps engineer typically collaborate with data scientists and software engineers on AI projects?

An AI DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by streamlining the deployment and monitoring of AI models. They often work closely with data scientists to automate model training, testing, and deployment pipelines, ensuring that models move smoothly from development to production. Additionally, they collaborate with software engineers to integrate models into scalable applications, manage infrastructure, and set up monitoring systems to track performance and reliability. This role requires strong communication skills and a proactive approach to troubleshooting issues that arise in cross-functional teams.

What is the difference between Ai Devops Engineer vs Data Engineer?

AspectAi Devops EngineerData Engineer
Required CredentialsCertifications in cloud platforms, DevOps tools, AI/ML frameworksCertifications in data management, SQL, cloud platforms
Work EnvironmentCollaborates with AI/ML teams, DevOps, cloud infrastructureWorks with data pipelines, databases, big data tools
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, data-driven industries

Ai Devops Engineers focus on deploying and maintaining AI/ML models in production using DevOps practices, while Data Engineers build and manage data pipelines and infrastructure. Both roles require cloud and scripting skills but serve different stages of data and AI workflows.

What are popular job titles related to Ai Devops Engineer jobs in Michigan? For Ai Devops Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Devops Engineer jobs in Michigan look for? The top searched job categories for Ai Devops Engineer jobs in Michigan are:
Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $109,741 per year, or $52.8 per hour.

Lead DevOps Engineer

Datamaxis

Dearborn, MI • On-site

$120 - $160/hr

Other

Re-posted 7 days ago

Job description

Job Summary

The DevOps Lead will design, implement, and support agile solutions and processes leveraged by applications hosted in our Microsoft Azure environment. This role is pivotal in driving continuous integration, continuous delivery, and security practices, with a heavy focus on Infrastructure as Code (IaC) and supporting the migration toward containerized workloads. Your expertise will help optimize development workflows, automate the provisioning of Azure resources and ensure the highest level of security through automated governance and "Security as Code" practices.

Essential Job Functions
  • Collaborate with Agile development teams to design, implement, and maintain a secure software development lifecycle and automated cloud infrastructure aligned with Agile principles.
  • Design, develop, and maintain modular Infrastructure as Code (IaC) using Terraform and Bicep to provision and manage Azure resources, including Azure Databricks, networking, and container orchestration platforms in a repeatable and auditable manner.
  • Design and implement team-specific CI/CD pipelines in Azure DevOps that account for differences in various technology stacks (Java, .NET, Node.JS, Python)
  • Support and optimize containerized deployments, ensuring best practices for image management, registry security, and orchestration within the Azure ecosystem.
  • Integrate security best practices into CI/CD pipelines, including code scanning, static analysis, and Container Image Scanning (e.g., Sonarqube, Jfrog, Azure Defender for Containers) to ensure secure delivery.
  • Automate the setup and configuration of Azure Kubernetes Service (AKS) or Azure Container Apps environments.
  • Advocate for software engineering practices such as unit testing, code reviews, and automated infrastructure testing to improve end-to-end secure delivery.
  • Partner with teams to facilitate practical automation solutions and custom IaC modules that adhere to organizational compliance standards.
  • Act as a trusted advisor for DevOps, Cloud Automation, and Containerization initiatives.
Minimum Qualifications and Job Requirements
  • 5+ years\' experience with deploying and managing Azure resources at scale
  • 3+ years\' hands-on experience with Infrastructure as Code (IaC), specifically using Terraform and Bicep to manage complex Azure environments.
  • Strong understanding of Terraform state management, module design, workspace strategies, and pipeline integration
  • 5+ years\' experience implementing DevOps for application teams using Agile development methodology.
  • Hands-on experience integrating SonarQube, JFrog, and other security tooling into pipelines
  • In-depth technical expertise in DevOps techniques: CI/CD, continuous testing, and automated infrastructure provisioning.
  • Proficiency in scripting languages (e.g., PowerShell, Bash, Python) to automate tasks.
  • 5+ years of experience building YAML-based CI/CD pipelines using Azure DevOps and/or Jenkins
  • Experience with DevOps CI/CD tools such as Azure DevOps (Pipelines/Repos), Jenkins, Git, and Ansible.
  • Hands-on experience implementing security scanning for application code, IaC templates, and container images.
Preferred Qualifications (Nice to Have)
  • Experience with Containerization and Orchestration tools such as Docker, Azure Kubernetes Service (AKS), or Azure Container Instances (ACI).
  • Certified Azure Solutions Architect or Azure DevOps Engineer (AZ-400).
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About DATAMAXIS

Sourced by ZipRecruiter

Datamaxis is passionate about making our clients win. As a trusted partner, we will bring innovative solutions, technical expertise in Data, cyber security analytics, strategic staffing and AI/ML to help create value (ROI) for our clients, stay competitive and operationally efficient.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Reston, VA, US

Year founded

2003

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