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Ai Devops Engineer Jobs in Michigan (NOW HIRING)

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 ...

Utilidata

Senior Software Engineer, DevOps

Ann Arbor, MI · On-site +1

$160K - $190K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... We are seeking a Senior Software Engineer, DevOps to help design, build, and operate Utilidata ...

Tech Tammina LLC

AI Engineer

Okemos, MI · On-site

... AI Developer Okemos, MI (Hybrid): Minimum of 3 days per week onsite in Okemos. or 100% Remote: Open only to Senior-level candidates located in Eastern Time (EST). Must Have Technical Skills: * Python ...

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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 14, 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.

AI Engineer / Applied AI Developer

1 point system

Farmington Hills, MI • On-site

Contractor

Re-posted 2 days ago

Job description

Job Role

 AI Engineer / Applied AI Developer

Location

 Hybrid – Farmington Hills, MI

(Minimum 3 days/week onsite; increasing to 4 days/week starting Summer 2026)

Duration

 Immediate need (Start within 2 weeks)

Interview

 In-person Interview

Role Summary

We are seeking a hands-on AI Engineer / Applied AI Developer with strong development expertise and a passion for building AI-powered proof-of-concepts. This role is ideal for someone who thrives in a fast-paced, research-driven environment and enjoys exploring cutting-edge AI technologies.

The ideal candidate will have strong Java and Python skills, experience working with large language models (LLMs), and the ability to rapidly prototype functional AI solutions.

Key Responsibilities
  • Design and develop AI-powered proof-of-concepts and prototype applications
  • Work with Large Language Models (LLMs) including prompt engineering and function calling
  • Integrate APIs and process structured and unstructured data
  • Collaborate in a fast-paced, research-driven team environment
  • Write clean, maintainable, and scalable code using best practices
  • Participate in version control and collaborative development using Git
  • Analyze complex problems and propose innovative AI-driven solutions
Required Technical Skills
  • Java – Advanced proficiency
  • Python – Intermediate to Advanced proficiency
  • Strong hands-on development experience
  • Experience with prompt engineering and function calling in LLMs
  • Ability to quickly build working proof-of-concepts
  • Experience integrating APIs
  • Experience handling structured and unstructured data
  • Strong analytical and critical thinking skills
  • Familiarity with Git and collaborative development workflows
Preferred / Nice-to-Have Skills
  • Experience building Agentic AI solutions
  • Experience developing conversational AI chatbots or summarization tools
  • Experience with OpenAI or similar LLM frameworks
  • Familiarity with Streamlit, FastAPI, or Flask for UI/demo development
  • Exposure to machine learning frameworks or AI cloud services

Thanks and Regards

Monu Singh Chauhan | 1Point System LLC
Technical Recruiter  
monu.singh@1pointsys.com 

LinkedIn: linkedin.com/in/monu-singh-chauhan-610857204
115 Stone Village Drive • Suite C • Fort Mill, SC • 29708

         An E-Verified company | An Equal Opportunity Employer 

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