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Ai Devops Engineer Jobs in Virginia (NOW HIRING)

Bigbear.ai

DevOps Engineer

Mclean, VA · On-site

$119K/yr

Residency All applicants must currently reside in the United States Overview The DevOps Engineer ... About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for ...

New

BigBear.ai

DevOps Engineer

Mclean, VA · On-site

$54 - $74/hr

Residency All applicants must currently reside in the United States Overview The DevOps Engineer ... About BigBear.ai BigBear.ai is a leading provider of AI-powered decision intelligence solutions for ...

New

Booz Allen Hamilton

DevOps Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Fort Belvoir, VA · On-site +1

$77K - $176K/yr

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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

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 ...

Booz Allen Hamilton

DevOps Engineer

Fort Belvoir, VA

$77K - $176K/yr

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 ...

Booz Allen Hamilton

DevOps Engineer

Quantico, 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

Quantico, VA · 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 ...

Booz Allen Hamilton

DevOps Engineer

Quantico, VA · 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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Quantico, 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 · 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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Share 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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Arlington, VA · 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 ...

Booz Allen Hamilton

DevOps Engineer

Arlington, VA

$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 ...

NewGen

DevOps Engineer

Chantilly, VA · On-site

$54 - $74/hr

The DevOps Engineer will leverage the latest industry DevOps tools and containerization processes ... We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the ...

NewGen Technologies

DevOps Engineer

Chantilly, VA

$54 - $74/hr

The DevOps Engineer will leverage the latest industry DevOps tools and containerization processes ... We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the ...

WorkNovas LLC

DevOps Engineer

Reston, VA · 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 ...

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 ...

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All JobsAi Devops Engineer JobsAi Devops Engineer Jobs in Virginia

Ai Devops Engineer information

See Virginia salary details

$16

$60

$85

How much do ai devops engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for ai devops engineer in Virginia is $60.01, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $68.89 per hour, depending on experience, location, and employer.

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.

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.

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.

What are popular job titles related to Ai Devops Engineer jobs in Virginia? For Ai Devops Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Devops Engineer jobs in Virginia look for? The top searched job categories for Ai Devops Engineer jobs in Virginia are:
Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,828 per year, or $60 per hour.

DevOps Engineer

Bigbear.ai

Mclean, VA • On-site

$119K/yr

Full-time

Posted 2 days ago

New

Job description

Residency
All applicants must currently reside in the United States
Overview
The DevOps Engineer builds and maintains the platform foundation the entire system runs on, owning the event backbone, CI/CD pipelines, and the government cloud environment (GovCloud/IL5). This role ensures the platform is reliable, scalable, secure, and deployable, enabling application, data, and scoring teams to deliver capabilities quickly and safely in a regulated environment.
What you will do
  • Build and operate the event backbone (Kafka or equivalent), including topic design guidance, reliability patterns, throughput scaling, and operational monitoring.
  • Design, implement, and maintain CI/CD pipelines that support repeatable, secure builds and deployments across environments.
  • Provision and manage the GovCloud/IL5 hosting environment, ensuring it meets program security and compliance expectations.
  • Implement infrastructure as code (IaC) for cloud resources, cluster provisioning, network/security configuration, and environment replication.
  • Deploy and operate Kubernetes platforms for application and data services, including cluster configuration, upgrades, and workload reliability.
  • Establish platform observability (logging, metrics, tracing) and operational readiness (runbooks, alerting, incident response support).
  • Partner with security and architecture teams to implement platform security controls (least privilege, secrets management, network segmentation, patching cadence).
  • Drive reliability engineering practices: backup/restore, disaster recovery planning, performance testing support, and capacity planning.

What you need to have
  • Clearance: Must maintain an active TS/SCI security clearance
  • Bachelor's Degree and 5 to 8 years of experience; Master's Degree and 3 to 6 years of experience
  • 5+ years of DevOps / platform engineering experience delivering and operating systems in a government cloud environment.
  • Strong experience with event streaming architecture and operations (Kafka or equivalent), including production support and performance tuning.
  • Demonstrated experience with infrastructure as code (Terraform and/or Ansible) and disciplined configuration management.
  • Hands-on experience in AWS GovCloud or Azure Government environments
  • Strong Kubernetes experience (deployments, Helm or equivalent packaging, cluster operations, and troubleshooting workload).
  • Experience working in compliance-driven environments (e.g., IL5, RMF-aligned controls) with a security-first operations mindset.

What we'd like you to have
Tools & Technical Environment (Preferred/Used)
  • Kafka (or equivalent event streaming platform)
  • Terraform / Ansible (IaC and configuration management)
  • AWS GovCloud or Azure Government
  • Kubernetes

Key Behavioral Competencies
  • Operational ownership: builds platforms that are supportable, observable, and resilient.
  • Automation mindset: eliminates manual steps via IaC and CI/CD discipline.
  • Cross-team enablement: designs platforms that help developers move faster with guardrails.
  • Calm problem-solving: strong troubleshooting skills under real-world constraints.

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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