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Ai Devops Engineer Jobs in Phoenix, AZ (NOW HIRING)

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 ...

TEEMA

DevOps Engineer

Scottsdale, AZ · On-site

$53.25 - $73/hr

Must haves/Minimum Requirements: -DevOps Engineer with 2+ years of hands-on AWS experience * Hashicorp open source technologies such as Terraform, Packer, and Vault * Hands-on TLS certificate ...

Teema

DevOps Engineer

Scottsdale, AZ

$53.25 - $73/hr

Must haves/Minimum Requirements: -DevOps Engineer with 2+ years of hands-on AWS experience * Hashicorp open source technologies such as Terraform, Packer, and Vault * Hands-on TLS certificate ...

DS Technologies, LLC

DevOps Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Job Title: DevOps Engineer Location: Onsite - Phoenix, AZ Position Type: Contract Only W2 Position Overview: We are seeking a highly skilled DevOps Engineer with deep expertise in GitHub Enterprise ...

Inficare Technologies

DevOps Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Job Title: DevOps Engineer Location: Phoenix, AZ (Onsite) Job Type: Contract Experience: 9+ years Job Overview Our client is seeking an experienced DevOps Engineer to design and implement enterprise ...

Virtusa Corporation

Devops Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

As a DevOps Engineer, need to have deep expertise in automation, cloud infrastructure, data engineering, and bioinformatics. She plays a vital role in enabling scalable, secure, and reliable DevOps ...

InfiCare

DevOps Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Job Title: DevOps Engineer Location: Phoenix, AZ Job Type: Contract (Long Term) Experience: 6-12 years Job Overview We are seeking a skilled DevOps Engineer to join our team in Phoenix, AZ on a ...

Inficare Technologies

DevOps Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Job Title: DevOps Engineer Location: Phoenix, AZ Job Type: Contract (Long Term) Experience: 6-12 years Job Overview We are seeking a skilled DevOps Engineer to join our team in Phoenix, AZ on a ...

Tekgence Inc

Devops Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Role: Devops Engineer Location: Phoenix, AZ Duration: Long Term Prime Vendor: Atos Syntel Main Skills Kafka; Redis; ELK Stack (Elastic Search, Logstash, Kibana) :: 1. Must have at least 5 years of ...

Inficare Technologies

Devops Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Role : Devops Engineer Location - Pheonxi AZ Duration: Long term • Must have experience working with builds and deployments of various programing languages like Java, NodeJS, Python. Nice to have ...

Inficare Technologies

DeVOps Engineer

Phoenix, AZ · On-site

$51.25 - $70.25/hr

Role : Devops Engineer Location - phoenix AZ (5 Days onsite) Duration: Long term Contract * Must have experience working with builds and deployments of various programing languages like Java, NodeJS ...

Fox

Media DevOps Engineer

Tempe, AZ · Hybrid

$128K - $180K/yr

Fox Corporation is looking for an Media DevOps Engineer to join our Direct To Customer Platforms ... Experience with AI/ML technologies is a plus * Strong interpersonal, communication skills and ...

Banner Health

DevOps Engineer III

Phoenix, AZ · On-site +1

$50 - $68.50/hr

... AI-powered capabilities. Working closely with Product Owners, Business Analysts, Platform ... The DevOps Engineer III will perform the tasks necessary to analyze, design, configure, implement ...

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Ai Devops Engineer information

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How much do ai devops engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for ai devops engineer in Phoenix, AZ is $60.10, according to ZipRecruiter salary data. Most workers in this role earn between $50.38 and $68.99 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 Phoenix, AZ?

For Ai Devops Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Ai Devops Engineer jobs in Phoenix, AZ look for?

The top searched job categories for Ai Devops Engineer jobs in Phoenix, AZ are:

Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in Phoenix, AZ as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $125,016 per year, or $60.1 per hour.

DevOps Engineer - Remote

Phoenix, AZ • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$50 - $150/hr

Full-time

Posted 4 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.