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Ai Devops Engineer Jobs in Michigan (NOW HIRING)

AI DevOps Engineer

Auburn Hills, MI · On-site

$50 - $68.50/hr

Key Responsibilities: * DevOps Platform Leadership: * Lead the design, implementation, and continuous improvement of DevOps platforms to enable high-performing development teams. * Architect scalable ...

AI DevOps Engineer

Auburn Hills, MI

$50 - $68.50/hr

Key Responsibilities: * DevOps Platform Leadership: * Lead the design, implementation, and continuous improvement of DevOps platforms to enable high-performing development teams. * Architect scalable ...

DevOps Engineer

Holland, MI · On-site

$84 - $101/hr

## DevOps EngineerMinisterie van DefensieKalvermarkt 32, 2511 CB Den Haag, Nederland, Zuid ... Zoals in de Defensie Strategie Data Science en AI 2023 - 2027 staat opgenomen: 'Het doel van een ...

DevOps Engineer

Detroit, MI · Hybrid

$52.25 - $71.50/hr

Today it is the platform that drives AI adoption across the enterprise. Enterprise work stays ... We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ...

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 ...

Cloud DevOps Engineer

Livonia, MI · On-site

$49.25 - $67.50/hr

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 ...

Cloud DevOps Engineer

Livonia, MI · On-site

$49.25 - $67.50/hr

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 ...

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 Saurabh Kapoor at / We are seeking a DevOps Engineer who will be responsible for building, testing, and ...

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 ... Nice to have: experience with AI/ML bots, security, and MCP servers. Preferred ...

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 ...

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 - 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 ...

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 ...

$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 ...

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Showing results 1-20

Ai Devops Engineer information

See Michigan salary details

$14

$52

$75

How much do ai devops engineer jobs pay per hour?

As of Aug 30, 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 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.

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.

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.

Will AI take AI Devops Engineer jobs?

AI DevOps Engineers focus on integrating AI models into deployment pipelines, automating infrastructure, and managing AI systems. While AI tools can automate certain tasks, the role requires expertise in both AI and DevOps practices, making complete automation unlikely in the near term. Human oversight remains essential for designing, maintaining, and improving AI deployment processes.

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 August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $109,741 per year, or $52.8 per hour.

AI DevOps Engineer

Stellantis

Auburn Hills, MI • On-site

$50 - $68.50/hr

Full-time

Posted 13 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers


Job description

Company Overview
Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable and safe mobility solutions. Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate. Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game-changing partnerships are driving our transformation to a sustainable mobility tech company.
The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work.
With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders.
Position Overview:
The Software Engineering Platforms Principal Engineer is a highly skilled expert responsible for leading the design, implementation, and optimization of DevOps platforms that enable efficient and scalable software development. This role focuses on providing best-in-class tools and frameworks for Continuous Integration and Continuous Delivery (CI/CD), infrastructure-as-code (IaC), and cloud-based development pipelines. The Principal Engineer collaborates with internal stakeholders and engineering teams to ensure that DevOps platforms are robust, secure, and optimized for performance.
Key Responsibilities:
  • DevOps Platform Leadership:
    • Lead the design, implementation, and continuous improvement of DevOps platforms to enable high-performing development teams.
    • Architect scalable and secure CI/CD pipelines, ensuring consistency and reliability in software delivery.
    • Implement and manage infrastructure-as-code (IaC) frameworks, ensuring a repeatable, automated approach to infrastructure provisioning.
  • Collaboration & Stakeholder Management:
    • Collaborate with development, security, and infrastructure teams to align platform capabilities with business and technical requirements.
    • Act as a technical advisor to cross-functional teams, providing guidance on best practices for DevOps and platform engineering.
  • Platform Optimization and Automation:
    • Optimize platform performance, scalability, and cost-efficiency through continuous monitoring and improvement.
    • Lead automation efforts across software delivery pipelines, reducing manual intervention and increasing agility.
    • Implement tools and processes for effective configuration management and automated deployments.
  • Security, Compliance, and Reliability:
    • Ensure DevOps platforms adhere to security best practices and compliance requirements, including encryption, access controls, and auditing.
    • Drive strategies for disaster recovery, high availability, and platform resiliency.
  • Mentorship and Knowledge Sharing:
    • Mentor and coach engineers, fostering a culture of collaboration, innovation, and technical excellence.
    • Lead initiatives to upskill teams on platform capabilities and DevOps practices.

This role is based in Auburn Hills, MI and is required to be on-site in our HQ building 5 days per week.
Basic Qualifications:
  • Bachelor's degree in computer science or related field.
  • Minimum 5 years of experience in DevOps platform engineering or software development.
  • Strong expertise in CI/CD tools such as GitHub Actions, TeamCity, or similar.
  • Deep understanding of infrastructure-as-code tools like Terraform, Ansible, or CloudFormation.
  • Experience with cloud platforms (AWS, Azure)
  • Proficiency with containerization and orchestration (Docker, Kubernetes).
  • Strong knowledge of cloud security, compliance frameworks, and best practices for platform security.
  • Experience with GitOps, continuous delivery, and deployment automation.
  • Familiarity with DevSecOps practices, integrating security into CI/CD workflows.

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