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Ai Devops Engineer Jobs (NOW HIRING)

Senior DevOps Engineer

Boulder, CO ยท On-site +1

$134K - $173K/yr

This person will partner with AI engineering experts to incorporate AI into our engineering ... As a Senior DevOps Engineer on our Platform team, you will: * Transform our DevOps platform and ...

DevOps Engineer

Los Angeles, CA ยท Hybrid

$56.75 - $77.75/hr

AI-Driven Infrastructure Engineering: Leverage AI-augmented workflows to generate infrastructure modules, refine deployment scripts, and accelerate operational improvements while maintaining rigorous ...

Senior DevOps Engineer

Boulder, CO ยท On-site +1

$134K - $173K/yr

This person will partner with AI engineering experts to incorporate AI into our engineering ... As a Senior DevOps Engineer on our Platform team, you will: * Transform our DevOps platform and ...

DevOps Engineer

Los Angeles, CA ยท On-site

$150K - $160K/yr

AI-Driven Infrastructure Engineering: Leverage AI-augmented workflows to generate infrastructure modules, refine deployment scripts, and accelerate operational improvements while maintaining rigorous ...

DevOps Engineer

Pittsburgh, PA ยท On-site

$51.25 - $70.25/hr

The role designs and maintains applications using contemporary and AI-enabled technologies, while ... DevOps Engineering Tasks * Design and maintain CI/CD pipelines for testing, building, and ...

$57 - $78/hr

Specific emphasis in this role should be put on using AI to automate the most common DevOps tasks. Responsibilities: * Automate the deployment, configuration and management of cloud infrastructure ...

DevOps Engineer (AIOps)

Hanover, MD ยท On-site

$52 - $71.25/hr

Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, and engineering efficiency. * Improve ...

DevOps Engineer (AIOps)

Hanover, MD ยท On-site

$52 - $71.25/hr

Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, and engineering efficiency. * Improve ...

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 ...

DevOps Engineer

Warner Robins, GA ยท On-site

$61K - $141K/yr

DevOps Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud environments ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer (AIOps)

Jacksonville, FL ยท On-site

$49 - $67/hr

Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, and engineering efficiency. * Improve ...

R0239203 DevOps Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Oakland, CA ยท On-site

$60.50 - $83/hr

Build with AI : Work on applied LLM systems - from intelligent search to AI-driven content agents ... We are looking for a DevOps Engineer to join our engineering team and take ownership of our ...

DevOps Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

Booz Allen is the leading provider of AI services to the nation, and we're looking for a DevOps engineer with knowledge of AIOps, ML Ops, model ops, and data ops to develop tools and get them into ...

DevOps Engineer

Warner Robins, GA ยท On-site

$61K - $141K/yr

DevOps Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud environments ... 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

See salary details

$16

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$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.
DevOps Engineer

$110/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

Capgemini Government Solutions (CGS) LLC is hiring a DevOps Engineer to support U.S. Federal Government clients in McLean, VA. DevOps Engineer will be responsible to design, build, and maintain the CI/CD pipelines and infrastructure that power our hybrid environment. ย They will bridge the gap between development teams and IT operations, ensuring seamless integration between on-premises data centers and our public cloud footprint (AWS/Azure/GCP). ย The goal is to automate everything, minimize downtime, and accelerate the delivery of secure, high-quality software.

Job Responsibilities:

As a DevOps Engineer, you will be responsible for:

  • Design and manage end-to-end CI/CD pipelines that deploy consistently across local servers and cloud environments.
  • Use DevOps tools to ensure our local hardware and cloud environments are treated as code.
  • Manage and monitor the networking and data synchronization between on-prem storage and cloud-native services.
  • Leverage site-reliability best practices to ensure continuous service delivery and high-availability across hybrid environments.
  • Embed security scanning and compliance checks directly into the development lifecycle.
  • Demonstrated commitment to automation, consistently identifying opportunities to replace manual workflows with scalable, programmatic solutions.
  • Excellent communication skills with the ability to bridge the gap between engineering complexities and business objectives.
  • Maintains composure and provides clear leadership during high-pressure system outages or production incidents.

Required Qualifications:

  • Have an active Secret Government security clearance that requires U.S. citizenship
  • Bachelorโ€™s degree in computer science, Information Technology, Engineering, or a related technical field is required.
  • AWS Certified DevOps Engineer or Azure DevOps Engineer Expert highly desired.
  • Ability to obtain a Security+ certification within 6 months of hire.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of โ‚ฌ22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer

All qualified applicants will be considered for employment based on their skills, and merit.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110--130K.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Companyโ€™s sole discretion, consistent with the law.