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Ai Devops Engineer Jobs in Washington (NOW HIRING)

Fantom Corporation

DevOps Engineer

Chantilly, VA

$54 - $74/hr

We are seeking a DevOps Engineer to design, implement, and maintain secure DevOps infrastructure ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Allegis Group

DevOps Engineer (AIOps)

Hanover, MD · 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 ...

Booz Allen Hamilton

DevOps Engineer

Arlington, VA · 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 ...

Booz Allen Hamilton

DevOps Engineer

Fort Belvoir, VA · 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 ...

Booz Allen Hamilton

DevOps Engineer

Mclean, VA · 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 ...

Booz Allen Hamilton

DevOps Engineer

Mclean, VA · On-site

$62K - $141K/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 ...

Cuboid IT Solutions

DevOps Engineer

Washington, DC · On-site

$59.75 - $81.75/hr

Title: DevOps Engineer Location: Washington, DC: 100% Onsite (Only Locals) Duration: 12 + Months ... Previous experience working in AI/ML projects * Previous development experience in Go/Python

Booz Allen Hamilton, Inc.

DevOps Engineer

Mclean, VA · On-site

$62K - $141K/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 ...

Booz Allen Hamilton

DevOps Engineer

Arlington, VA

$62K - $141K/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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Mclean, VA · On-site

$62K - $141K/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 ...

Booz Allen Hamilton

DevOps Engineer

Chantilly, VA

$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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Arlington, VA · On-site

$61K - $141K/yr

As a DevOps engineer, you're eager to develop, manage, and secure a container platform that meets ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Mclean, VA · On-site

$62K - $141K/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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Arlington, VA · On-site

$62K - $141K/yr

As a DevOps engineer, you're eager to develop, manage, and secure a container platform that meets ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton

DevOps Engineer

Arlington, VA

$61K - $141K/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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Chantilly, VA · 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 ...

Booz Allen Hamilton

DevOps Engineer

Arlington, VA

$62K - $141K/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 ...

Booz Allen Hamilton

DevOps Engineer

Mclean, VA

$62K - $141K/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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Showing results 21-40

All JobsAi Devops Engineer JobsAi Devops Engineer Jobs in Washington

Ai Devops Engineer information

See Washington salary details

$18

$68

$97

How much do ai devops engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai devops engineer in Washington is $68.56, according to ZipRecruiter salary data. Most workers in this role earn between $57.45 and $78.70 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 Washington?

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

What job categories do people searching Ai Devops Engineer jobs in Washington look for?

The top searched job categories for Ai Devops Engineer jobs in Washington are:

What cities in Washington are hiring for Ai Devops Engineer jobs?

Cities in Washington with the most Ai Devops Engineer job openings:

Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 2% Temporary, and 7% Contract. Highlights an 60% Physical, 4% Hybrid, and 36% Remote job distribution, with an average salary of $142,603 per year, or $68.6 per hour.

DevOps Engineer

Fantom Corporation

Chantilly, VA

$54 - $74/hr

Full-time

Re-posted 18 days ago

Job description

Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth.

We are seeking a DevOps Engineer to design, implement, and maintain secure DevOps infrastructure and development environments. This role is responsible for leveraging modern DevOps tools, containerization technologies, and cloud services to support software development, production operations, and pilot programs across secure on-premises and AWS cloud environments.

The ideal candidate has experience building scalable CI/CD pipelines, managing containerized applications, automating infrastructure, and supporting mission-critical systems in secure enterprise environments.

Responsibilities
  • Design, implement, and maintain secure DevOps environments supporting software development and production operations
  • Build and manage CI/CD pipelines to automate application deployment, testing, and release processes
  • Deploy, configure, and maintain containerized applications and orchestration platforms
  • Support development teams by providing reliable build, integration, and deployment environments
  • Manage infrastructure across on-premises systems and AWS cloud environments
  • Automate infrastructure provisioning, configuration management, and deployment workflows
  • Monitor system health, application performance, and infrastructure availability while implementing improvements to reliability and scalability
  • Troubleshoot and resolve infrastructure, deployment, and application issues across development and production environments
  • Collaborate with software developers, systems engineers, and security teams to integrate DevSecOps best practices throughout the software development lifecycle
  • Support pilot programs by rapidly deploying and maintaining new development environments and technical capabilities
  • Develop and maintain technical documentation, automation scripts, and operational procedures
  • Ensure platform security, compliance, and operational readiness across enterprise environments
Required Qualifications
  • Must be fully cleared with a recent polygraph
  • Must be willing and able to work fully onsite at the location listed in this posting
  • Experience as a DevOps Engineer, Cloud Engineer, Systems Engineer, or similar technical role
  • Experience designing and supporting CI/CD pipelines and automated deployment processes
  • Experience with containerization technologies such as Docker and Kubernetes
  • Experience supporting AWS cloud services and hybrid cloud environments
  • Experience administering Linux-based systems
  • Experience with infrastructure automation and configuration management tools
  • Strong scripting and automation skills using Bash, Python, or similar languages
  • Experience with version control systems such as Git
  • Strong troubleshooting and problem-solving skills in complex technical environments
  • Excellent written and verbal communication skills
  • Ability to work collaboratively within Agile and cross-functional engineering teams
Desired Qualification
  • Experience supporting secure or classified environments
  • Experience implementing DevSecOps best practices
  • Experience with Infrastructure as Code (Terraform, CloudFormation, or similar)
  • Experience with monitoring and logging platforms
  • AWS cloud certifications or Kubernetes certifications
  • Experience supporting enterprise production systems and pilot technology initiatives
  • #CJ
Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.