ZipRecruiter

Log In

1

Ai Devops Engineer Jobs in Michigan (NOW HIRING)

Wolverine Staffing

SecOps/DevOps Engineer

Dexter, MI · On-site

SecOps/DevOps Engineer Overview Were seeking a highly skilled SecOps/DevOps Engineer to join our technology team. This is a hands-on role at the intersection of security operations , infrastructure ...

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 ...

AAA Life Insurance Company

Senior DevOps Engineer

Livonia, MI · On-site +1

$115K - $147K/yr

Overview We are seeking a seasoned Senior DevOps Engineer to help lead our transition from legacy infrastructure to a modern, cloud-native environment. The Opportunity - Why Join Are you ready to ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

The DOC AI is a Google Cloud product that is used to scan paper marriage licenses, extract index ... * Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C+

General Motors

Staff Software DevOps Engineer

Milford, MI · On-site

$46.50 - $63.50/hr

Influence cross-functional teams to adopt modern DevOps practices, resilient system design, and continuous improvement approaches. * Drive improvements in developer productivity, pipeline efficiency ...

General Motors

Staff Software DevOps Engineer

Warren, MI · On-site

$49.50 - $67.75/hr

Influence cross-functional teams to adopt modern DevOps practices, resilient system design, and continuous improvement approaches. * Drive improvements in developer productivity, pipeline efficiency ...

Judge Group, Inc.

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

As an AI Engineer, you will design, develop, and deploy AI-powered applications and services that drive innovation and efficiency. You will work closely with cross-functional teams-including software ...

General Motors

Staff Software DevOps Engineer

Milford, MI · On-site

$46.50 - $63.50/hr

Influence cross-functional teams to adopt modern DevOps practices, resilient system design, and continuous improvement approaches. * Drive improvements in developer productivity, pipeline efficiency ...

Pi Square Technologies LLC

Senior DevOps Engineers

Detroit, MI · On-site

$128K - $165K/yr

... s Engineer to assist in the design, implementation, and support of our scalable, secure, and resilient cloud infrastructure. This role will drive our infrastructure automation, cloud services, and CI ...

Apex Systems

AI Engineer

Dearborn, MI · On-site

... DevOps practices Agentic AI Experience * Experience building agent-based systems using frameworks such as: * Google Agent Development Kit (ADK) * CrewAI * LangGraph * Similar agent orchestration ...

Tror AI for everyone

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

... AI Developer. The ideal candidate should have strong hands-on development skills, with a passion for building AI-powered proof-of-concepts and exploring cutting-edge AI capabilities. The candidate ...

FastTek

DevOps Specialist

Dearborn, MI · On-site +1

$48.50 - $66.50/hr

Engineer for 99.99% Reliability: Bring a true SRE mindset to our platform. You will design self ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

previous pagenext page

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 Sep 2, 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:

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 74% Full Time, 20% Part Time, 5% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $109,741 per year, or $52.8 per hour.

Senior Engineering Management Specialist - DevOps Engineer

Deloitte

Midland, MI • On-site

$111K - $143K/yr

Full-time

Posted 19 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Engineering Management Specialist - DevOps Engineer on the Industry Solutions team, you will be responsible for...

  • Deploy, manage, and optimize AWS cloud infrastructure supporting the client, including self-managed and non-self-managed Red Hat OpenShift clusters
  • Build and maintain continuous integration and continuous deployment (CI/CD) pipelines using GitLab Runners to support automated build, test, and deployment activities
  • Monitor platform health, performance, and security using observability and security tools, and address issues affecting reliability and availability
  • Manage cloud services and components including AWS Batch, AWS Secrets Manager, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Storage Service (Amazon S3), AWS CloudTrail, Amazon Route 53, Amazon CloudFront, Application Load Balancer, AWS Lambda, and AWS Step Functions
  • Collaborate with development, quality engineering, and infrastructure teams to troubleshoot issues, improve workflows, maintain documentation, and support ongoing platform operations and enhancements

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Industry Solutions clients seek verticalized solutions that transform how they sell products, deliver services, generate growth, and fulfill mission-critical operations. The Industry Solutions offering delivers integrated business expertise with repeatable scaled technology solutions that are specifically engineered for each sector's IndustryAdvantageTM.

Qualifications

Required:

  • Bachelor's degree
  • 5+ years of experience in DevOps roles supporting Amazon Web Services (AWS) environments
  • 1+ years of experience provisioning, deploying, and managing environments within AWS, and troubleshooting cloud infrastructure, deployment processes, and application issues within AWS environments
  • 1+ years of experience building, maintaining, and executing deployment scripts and supporting code releases across environments
  • 1+ years of experience with Red Hat OpenShift, Docker, GitLab Runners, and AWS services used in the role, including AWS Batch, AWS Secrets Manager, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Storage Service (Amazon S3), AWS CloudTrail, Amazon Route 53, Amazon CloudFront, Application Load Balancer, AWS Lambda, and AWS Step Functions
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience with 3Scale API Gateway
  • Experience with ForgeRock and OpenID Connect (OIDC) authentication
  • Experience with Talend or content management system frameworks
  • Experience applying DevSecOps practices
  • Experience with scripting and automation for cloud operations
  • Experience supporting artificial intelligence (AI) solutions, data lake deployment, analytics platforms, or using AI-enabled tools for scripting, code development, and troubleshooting

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Senior Engineering Management Specialist - DevOps Engineer on the Industry Solutions team, you will be responsible for...

  • Deploy, manage, and optimize AWS cloud infrastructure supporting the client, including self-managed and non-self-managed Red Hat OpenShift clusters
  • Build and maintain continuous integration and continuous deployment (CI/CD) pipelines using GitLab Runners to support automated build, test, and deployment activities
  • Monitor platform health, performance, and security using observability and security tools, and address issues affecting reliability and availability
  • Manage cloud services and components including AWS Batch, AWS Secrets Manager, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Storage Service (Amazon S3), AWS CloudTrail, Amazon Route 53, Amazon CloudFront, Application Load Balancer, AWS Lambda, and AWS Step Functions
  • Collaborate with development, quality engineering, and infrastructure teams to troubleshoot issues, improve workflows, maintain documentation, and support ongoing platform operations and enhancements

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Industry Solutions clients seek verticalized solutions that transform how they sell products, deliver services, generate growth, and fulfill mission-critical operations. The Industry Solutions offering delivers integrated business expertise with repeatable scaled technology solutions that are specifically engineered for each sector's IndustryAdvantageTM.

Qualifications

Required:

  • Bachelor's degree
  • 5+ years of experience in DevOps roles supporting Amazon Web Services (AWS) environments
  • 1+ years of experience provisioning, deploying, and managing environments within AWS, and troubleshooting cloud infrastructure, deployment processes, and application issues within AWS environments
  • 1+ years of experience building, maintaining, and executing deployment scripts and supporting code releases across environments
  • 1+ years of experience with Red Hat OpenShift, Docker, GitLab Runners, and AWS services used in the role, including AWS Batch, AWS Secrets Manager, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Storage Service (Amazon S3), AWS CloudTrail, Amazon Route 53, Amazon CloudFront, Application Load Balancer, AWS Lambda, and AWS Step Functions
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience with 3Scale API Gateway
  • Experience with ForgeRock and OpenID Connect (OIDC) authentication
  • Experience with Talend or content management system frameworks
  • Experience applying DevSecOps practices
  • Experience with scripting and automation for cloud operations
  • Experience supporting artificial intelligence (AI) solutions, data lake deployment, analytics platforms, or using AI-enabled tools for scripting, code development, and troubleshooting

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply