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Ai Devops Engineer Jobs (NOW HIRING)

DevOps Engineer

Manor, TX ยท On-site

$56.75 - $78/hr

Senior DevOps Engineer(only W2)Job Summary We are seeking a highly experienced Senior DevOps ... Knowledge of AI/ML infrastructure and MLOps is a plus. * Experience with Agile/Scrum methodologies.

Imagine using artificial intelligence (AI) to improve critical IT operations for the Army. As a DevOps engineer, you know how to create efficient and effective solutions, so you can quickly deliver ...

DevOps Engineer

Manhattan, NY ยท On-site

$180 - $240/hr

DevOps Engineer Where Medicine Meets Intelligence Doctronic is the first AI legally authorized to practice medicine. We're processing millions of consultations monthly with 99%+ treatment plan ...

DevOps Engineer

Quantico, VA ยท On-site

$77K - $176K/yr

R0245224 DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Quantico, VA ยท On-site

$77K - $176K/yr

DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone knows ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Cherry Hill, NJ ยท On-site +1

$52.25 - $71.75/hr

... AI solutions in a unified coding and analytics IDE). You are part of a wider group of system ... Lead the design, implementation and maintenance of DevOps processes and tools to support the ...

DevOps Engineer

Quantico, VA ยท On-site +1

$77K - $176K/yr

Share DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Eglin, FL ยท On-site

$77K - $176K/yr

DevOps Engineer The Opportunity: DevOps engineering requires a specific mix of development ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Arlington, VA ยท On-site

$62K - $141K/yr

DevOps Engineer The Opportunity: DevOps engineering requires a specific mix of development ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Arlington, VA ยท On-site

$62K - $141K/yr

As a DevOps engineer, you know that these skills create efficiency and effectiveness so you can ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

San Francisco, CA ยท On-site

$145K - $165K/yr

Leverage AI development tools, including Claude Code, to generate, refactor, test, and document automation code and operational runbooks.Partner with existing network engineers to understand current ...

DevOps Engineer

Eglin Air Force Base, FL ยท On-site

$77K - $176K/yr

As a DevOps engineer, you know that these skills create efficiency and effectiveness so you can ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

San Francisco, CA ยท Hybrid

$62.25 - $85/hr

Leverage AI development tools, including Claude Code, to generate, refactor, test, and document automation code and operational runbooks. * Partner with existing network engineers to understand ...

DevOps Engineer

Reston, VA ยท On-site

$55 - $75.25/hr

Need AI experience, like Chat GPT JD: Client is seeking a DevOps Engineer to support applications by enabling secure, reliable, and scalable software delivery in a highly regulated financial ...

... AI. Key Responsibilities: Build, deploy, and maintain CI/CD pipelines within an Azure-based ... such as Azure DevOps, GitOps, or GitHub A flexible, well-rounded skill set with openness to ...

Platform DevOps Engineer

Austin, TX

$52.25 - $71.50/hr

About the Role We are looking for a Platform DevOps Engineer to help design, build, and operate the platforms that power AI CoWorkers. This is a handson role for an engineer who enjoys owning ...

DevOps Engineer

Dayton, OH ยท On-site

$77K - $176K/yr

DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone knows ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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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 24, 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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Infographic showing various Ai Devops Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

DevOps Engineer

Raas Infotek LLC

Manor, TX โ€ข On-site

$56.75 - $78/hr

Other

Posted 6 days ago


Job description

Senior DevOps Engineer(only W2)Job Summary

We are seeking a highly experienced Senior DevOps Engineer with 12+ years of experience in DevOps, cloud infrastructure, automation, CI/CD, containerization, and production operations. The ideal candidate will have strong hands-on expertise with AWS/Azure, Kubernetes, Terraform, Docker, Jenkins, and modern DevOps practices.

Key Responsibilities
  • Design, implement, and manage scalable and highly available cloud infrastructure.
  • Develop and maintain CI/CD pipelines for application build, deployment, and release automation.
  • Manage Kubernetes clusters, Docker containers, and microservices environments.
  • Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
  • Automate infrastructure provisioning, configuration, monitoring, and deployments.
  • Manage AWS/Azure cloud services and optimize infrastructure performance and cost.
  • Implement DevSecOps practices, security controls, secrets management, and compliance.
  • Monitor production environments and troubleshoot complex infrastructure and application issues.
  • Collaborate with development, QA, security, and architecture teams.
  • Establish logging, monitoring, alerting, and observability using tools such as Prometheus, Grafana, ELK, or Splunk.
  • Lead production deployments, incident management, root-cause analysis, and disaster recovery activities.
  • Mentor junior DevOps engineers and contribute to DevOps standards and best practices.
Required Skills
  • 12+ years of experience in DevOps / Cloud / Infrastructure Engineering.
  • Strong experience with AWS and/or Azure.
  • Hands-on experience with Kubernetes and Docker.
  • Strong expertise in Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
  • Experience with Terraform, Ansible, or CloudFormation.
  • Strong scripting skills in Python, Bash, or PowerShell.
  • Experience with Linux/Unix administration.
  • Strong understanding of networking, security, IAM, DNS, load balancing, and cloud architecture.
  • Experience with Git and source control management.
  • Experience supporting highly available, enterprise-scale production environments.
  • Strong troubleshooting, communication, and leadership skills.
Preferred Skills
  • Experience with Helm, Argo CD, Istio, and service mesh.
  • Knowledge of DevSecOps and cloud security.
  • Experience with Prometheus, Grafana, ELK/EFK, Splunk, or Datadog.
  • Experience with microservices and distributed systems.
  • Knowledge of AI/ML infrastructure and MLOps is a plus.
  • Experience with Agile/Scrum methodologies.