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Ai Devops Engineer Jobs in Michigan (NOW HIRING)

DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

Role: DevOps Engineer Duration: Long - Term Location: Dearborn, MI - 4 days onsite in a week Local candidate only Description: In this role, the engineer will be responsible for implementing and ...

DevOps Engineer

Grand Rapids, MI · On-site

$50.75 - $69.50/hr

The DevOps Engineer develops and supports modern infrastructure and platform solutions that support both internal development teams and software delivery worldwide. This role works on stable ...

Salesforce DevOps Engineer

Lansing, MI · On-site

$53.50 - $73.25/hr

We are seeking an experienced Salesforce DevOps Engineer to support engagement. The ideal candidate will be responsible for managing and optimizing DevOps processes for Salesforce projects using ...

DevOps Engineer

Detroit, MI · Hybrid

$52.25 - $71.50/hr

We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

DevOps Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

Stefanini is looking for a DevOps Engineer(Dearborn, MI) For quick apply, please reach out to Lovkesh Bhati at / We are looking for a DevOps / SRE Engineer to help us architect, automate, and scale ...

Sr. DevOps Engineer

Dearborn, MI · On-site

$119K - $153K/yr

Title: Sr. DevOps Engineer Department: Information Technology Reports to: Sr. Manager, IT Delivery COE Location: Dearborn Job Classification: Remote FLSA Status: Exempt Job Band: Professional Job ...

DevOps Engineer

Ann Arbor, MI · On-site

$51.50 - $70.75/hr

... s Engineer to support the reliability, security, scalability, and operational maturity of CAI ... Proficiency with AI-assisted coding and automation tools, including the ability to translate ideas ...

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 ...

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 ...

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 ...

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 ...

$117K - $150K/yr

Interest or Experience with incorporating AI Tools/Agents into DevOps/SRE practices to improve quality of work, ease of development/deployment * Relevant experience with payment technologies, fintech ...

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Ai Devops Engineer information

See Michigan salary details

$14

$52

$75

How much do ai devops engineer jobs pay per hour?

As of Jul 16, 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, and why are they important?

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 are AI DevOps Engineers?

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:
Infographic showing various Ai Devops Engineer job openings in Michigan as of July 2026, with employment types broken down into 60% Full Time, 7% Part Time, and 33% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $109,741 per year, or $52.8 per hour.
DevOps Engineer

DevOps Engineer

Noblesoft Technologies

Dearborn, MI • On-site

$48.50 - $66.50/hr

Contractor

Posted 20 days ago


Job description

Role: DevOps Engineer

Duration: Long – Term

Location: Dearborn, MI – 4 days onsite in a week

  

Local candidate only

Description: 

In this role, the engineer will be responsible for implementing and maintaining new CI tools and infrastructure, understanding evolving developer needs and converting them into actionable tasks, and driving continuous improvements across the CI pipeline. Daily responsibilities include creating automation to enhance existing processes, testing and evaluating code developed by other teams, identifying technical problems and delivering fixes, setting up and optimizing pipelines using Jenkins and GitHub Actions, deploying updates, performing root‑cause analysis on build and pipeline issues, and developing automation to streamline production and development workflows. 

Top Skills & Requirements

  • 5+ years as a DevOps Engineer or in a similar software engineering role
  • Extensive experience with CI/CD tools and infrastructure, specifically Jenkins, including pipeline setup, maintenance, and optimization
  • Experience working in a GCP (Google Cloud Platform) environment
  • Proficiency with Python