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Ai Devops Engineer Jobs (NOW HIRING)

YO AI Labs

DevOps Engineer - Remote

Los Angeles, CA · Remote

$50 - $150/hr

No prior AI experience is required--your DevOps expertise and engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks covering CI/CD, containers, Kubernetes ...

YO AI Labs

DevOps Engineer - Remote

Philadelphia, PA · Remote

$50 - $150/hr

No prior AI experience is required--your DevOps expertise and engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks covering CI/CD, containers, Kubernetes ...

YO AI Labs

DevOps Engineer - Remote

San Francisco, CA · Remote

$50 - $150/hr

No prior AI experience is required--your DevOps expertise and engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks covering CI/CD, containers, Kubernetes ...

YO AI Labs

DevOps Engineer - Remote

Palo Alto, CA · Remote

$50 - $150/hr

No prior AI experience is required--your DevOps expertise and engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks covering CI/CD, containers, Kubernetes ...

YO AI Labs

DevOps Engineer - Remote

Chicago, IL · Remote

$50 - $150/hr

No prior AI experience is required--your DevOps expertise and engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks covering CI/CD, containers, Kubernetes ...

YO AI Labs

DevOps Engineer - Remote

Houston, TX · Remote

$50 - $150/hr

No prior AI experience is required--your DevOps expertise and engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks covering CI/CD, containers, Kubernetes ...

YO AI Labs

DevOps Engineer - Remote

Phoenix, AZ · Remote

$50 - $150/hr

No prior AI experience is required--your DevOps expertise and engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks covering CI/CD, containers, Kubernetes ...

Vertex Pharmaceuticals LLC

$95K - $142K/yr

## Senior AI DevOps EngineerApplylocations: Boston, MAtime type: Full timeposted on: Posted Todayjob requisition id: REQ-29720** ****General Summary:**Responsible for designing, building, and optimizing ...

Hearst

DevOps Engineer

Lawrenceville, GA · On-site

$45.50 - $62.50/hr

AI-Native Engineering We expect our engineers to be highly effective with modern AI development and ... Automate operational tasks with Python, PowerShell, Bash, or similar tools. * Troubleshoot ...

Incedo Inc

Devops Engineer

Cincinnati, OH · On-site

$50.75 - $69.50/hr

Title- Senior DevOps Engineer AI & Agentic Software Engineering Location- Cincinnati, OH(Day 1 onsite) Position Summary The DevOps Engineer is responsible for the design, implementation, and ...

D-Wave Quantum

Senior AI DevOps Developer [584]

About the role D-Wave is seeking an experienced Senior AI DevOps Developer to join our Product Development team. In this role, you will design, build, deploy, and operate AI-powered tools, platforms ...

BusPatrol LLC

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

DevOps Engineer * Location: Austin, Texas * Schedule: Full-time * Travel: Less than 5% * Education ... You will play a key role in BusPatrol's platform modernization and AI-native SDLC journey. That ...

Avalore.ai

DevOps Engineer

Annapolis Junction, MD · On-site

$54 - $73.75/hr

Avalore.ai is seeking a DevOps Engineer to support a team of developers implementing multiple workflow products. The role involves collaborating with system, software, and UI/UX engineers to design ...

Booz Allen Hamilton

AI DevOps Technologist

Mclean, VA · On-site

$99K - $225K/yr

AI DevOps Technologist The Opportunity: As an AI DevOps Technologist you'll design, build, connect, and operate AI tools and automated workflows that help Booz Allen teams deliver secure, reliable ...

The Subway

DevOps Engineer

Shelton, CT · On-site

$102K - $128K/yr

About the Role The DevOps Engineer is responsible for designing, building, and operating the ... Integrate AI-assisted code quality, security scanning, and test coverage tools into CI/CD pipelines

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Ai Devops Engineer information

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How much do ai devops engineer jobs pay per hour?

As of Sep 15, 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 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.
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Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

DevOps Engineer - Remote

Los Angeles, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$50 - $150/hr

Full-time

Posted 20 days ago

Job description

DevOps Engineer

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound.

No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most.

Key Responsibilities
  • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response.
  • Create working reference solutions with clear setup and validation steps.
  • Review AI-generated solutions, identify failures, and provide precise technical corrections.
  • Maintain high standards for correctness, reliability, and reproducibility.
  • Provide structured feedback to improve AI-generated DevOps workflows.
Required Skills
  • Kubernetes
  • Terraform
  • CI/CD
  • Python
  • Linux
  • Docker
  • Git
  • Cloud Platforms
  • Infrastructure as Code
Required Qualifications
  • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
  • Strong coding skills in Python, Go, Bash, or TypeScript.
  • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Practical experience with Docker, Kubernetes, and at least one major cloud platform.
  • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation.
  • Advanced Linux and Git skills.
  • Strong written and spoken English.
  • Availability of at least 20 hours per week.
Preferred Qualifications
  • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry.
  • Background in security, secrets management, or platform reliability.
  • Open-source contributions or technical writing experience.
  • Previous experience with AI training data or model evaluation.