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Ai Devops Engineer Jobs (NOW HIRING)

DevOps Engineer

Miami, FL · On-site

$50.50 - $69/hr

To expand our capabilities and enhance the AI-centric developer experience we are growing our team, looking for an experienced AI DevOps Engineer. This person will be responsible for delivering key ...

DevOps Engineer

Miami, FL · On-site

$50.25 - $69/hr

Millennium is expanding its Core DevOps Team and is seeking an experienced AI DevOps Engineer to enhance the AI-centric developer experience. The role involves delivering key SDLC capabilities ...

Engineer- Gen AI/ AI DevOps (Gen DevOps) Experience: 3-5Years of experience Location: Hyderabad Summary The Product Operations Engineer executesdaytodayoperational work to ensure products run ...

Senior AI DevOps Engineer

Chicago, IL · On-site

$134K - $172K/yr

The Senior AI DevOps Engineer will support the development and delivery of technical PoCs, create demos, conduct quantitative performance studies, and collaborate with internal teams and customers to ...

Senior AI DevOps Engineer

Redwood City, CA · On-site

$159K - $204K/yr

The Senior AI DevOps Engineer will support the development and delivery of technical PoCs, create demos, conduct quantitative performance studies, and collaborate with internal teams and customers to ...

Build and champion a "Self-Healing" infrastructure that moves operations beyond traditional ... Implement complex AI workflows using frameworks like LangChain and LlamaIndex to drive agentic ...

Senior AI DevOps Engineer

Littleton, CO · On-site

$96K - $137K/yr

Build and champion a "Self-Healing" infrastructure that moves operations beyond traditional ... Implement complex AI workflows using frameworks like LangChain and LlamaIndex to drive agentic ...

DevOps Engineer

Austin, TX · Remote

$52.25 - $71.50/hr

DevOps Engineer (AI-Native, Builder Mindset) Location: Remote Company: Driver AI Type: Full-time Introduction At Driver, we're building systems that turn source code into human language. The tech ...

DevOps Engineer

Mitchell, SD

$53.25 - $73/hr

Support AI-enabled application architectures, including retrieval-based solutions, model-driven ... Stay updated with the latest industry trends in Azure, DevOps, and AI technologies (including ...

New

DevOps Engineer

Mitchell, SD · On-site

$53.25 - $73/hr

Responsibilities : • Design, implement, and maintain robust CI/CD pipelines using Azure DevOps, including supporting deployment workflows for AI-powered applications • Collaborate with ...

Senior AI DevOps Engineer

Redwood City, CA · On-site

$159K - $204K/yr

Job Summary The Senior AI DevOps Engineer in Global Value Advisory team at Equinix is a specialized pre sales individual contributor role that is responsible for supporting the development and ...

Senior AI DevOps Engineer

Redwood City, CA · On-site

$150K - $192K/yr

Job Summary The Senior AI DevOps Engineer in Global Value Advisory team at Equinix is a specialized pre sales individual contributor role that is responsible for supporting the development and ...

Senior AI DevOps Engineer

Redwood City, CA · Remote

$133K - $170K/yr

Job Summary The Senior AI DevOps Engineer in Global Value Advisory team at Equinix is a specialized pre sales individual contributor role that is responsible for supporting the development and ...

DevOps Engineer

Brighton, CO · On-site

$140K - $170K/yr

DevOps Engineer Location: Denver, Colorado Compensation: $140,000 - $170,000 base salary (depending ... Exposure to Azure AI services, Azure AI Foundry, or related cloud AI tooling * Experience with ...

DevOps Engineer

Aurora, CO · On-site

$140K - $170K/yr

DevOps Engineer Location: Denver, Colorado Compensation: $140,000 - $170,000 base salary (depending ... Exposure to Azure AI services, Azure AI Foundry, or related cloud AI tooling * Experience with ...

What You'll Do * Build, optimize, and maintain CI/CD pipelines using Azure DevOps and GitHub ... Exposure to Azure AI services, Azure AI Foundry, or related cloud AI tooling * Experience with ...

What You'll Do * Build, optimize, and maintain CI/CD pipelines using Azure DevOps and GitHub ... Exposure to Azure AI services, Azure AI Foundry, or related cloud AI tooling * Experience with ...

What You'll Do * Build, optimize, and maintain CI/CD pipelines using Azure DevOps and GitHub ... Exposure to Azure AI services, Azure AI Foundry, or related cloud AI tooling * Experience with ...

What You'll Do * Build, optimize, and maintain CI/CD pipelines using Azure DevOps and GitHub ... Exposure to Azure AI services, Azure AI Foundry, or related cloud AI tooling * Experience with ...

What You'll Do * Build, optimize, and maintain CI/CD pipelines using Azure DevOps and GitHub ... Exposure to Azure AI services, Azure AI Foundry, or related cloud AI tooling * Experience with ...

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Ai Devops Engineer information

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$16

$60

$86

How much do ai devops engineer jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for ai devops engineer in the United States is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $69.47 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.

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 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.

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.

More about Ai Devops Engineer jobs
What cities are hiring for Ai Devops Engineer jobs? Cities with the most Ai Devops Engineer job openings:
What states have the most Ai Devops Engineer jobs? States with the most job openings for Ai Devops Engineer jobs include:
Infographic showing various Ai Devops Engineer job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

$50.50 - $69/hr

Full-time

Posted 4 days ago


Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

DevOps Engineer
In the Core DevOps Team, the developer experience is at the forefront of everything we do. To expand our capabilities and enhance the AI-centric developer experience we are growing our team, looking for an experienced AI DevOps Engineer. This person will be responsible for delivering key SDLC capabilities that enable a successful DevOps platform, deploying product updates through automation, identifying and resolving production issues within the platform, and implementing AI-focused integrations to enhance the developer experience. If you have a solid background in AI DevOps, SRE, or Software Engineering with a passion for DevOps, then we would love to speak with you!
Principal Responsibilities
  • Engage with our developer community with a focus on successful outcomes
  • Build secure AI Dev Tools and integrations to improve the developer experience
  • Automate and deploy upgrades to our DevOps platform
  • Provide Level 3 technical support around our DevOps platform
  • Implement best practices around security and observability of our DevOps platform
  • Participate in our on-call rotation and blameless postmortem practices for incidents

Skills and Qualifications
  • BSc in Computer Science, Engineering, or relevant field
  • Broad experience with AI Coding Tools through all phases of the Software Development Lifecycle
  • Solid programming experience in an object oriented language, preferably Python (Python, Java, Go, etc.)
  • Proficient in GitOps workflows and CI tools like GitHub Actions
  • Good experience running DevOps tools in the cloud (AWS preferred, GCP)
  • A mastery of containers and a working knowledge of Kubernetes, including Continuous Deployment patterns
  • Solid Infrastructure as Code programming experience (Terraform, CloudFormation, Ansible)
  • Good knowledge of test driven development with a focus on software quality
  • Experience implementing observability with DataDog and Elastic

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