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# AI DevOps Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Ashburn, VA, United States
- **Experience:** Expert
- **Salary:** $77,600 - $176,000
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Automation of Tests, Code Review, Cyber Security, Continuous Integration, DevOps, Monitoring of Systems, Identity and Access Management, Internet Security, Machine Learning, Automation of Marketing, Scrum Methodology, Runbook, Software Engineering, Systems Integration, Workflow Management Systems, Data Logging, Enterprise Software Applications, Model Validation, Usage Tracking, AI Platforms, Kubernetes, Virtual Agents, Cyber Warfare, Webhooks, Devsecops
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-devops-engineer-ashburn-va--3e7da61d-7116-4a7a-82ae-57c1116886a5

## About the Role

DevOps, Artificial Intelligence (AI), Artificial Intelligence (AI), DevOps, Internet Security, Business Operations, Testing, Application Programming Interface (API), Access Control, Enterprise Applications, * 5+ years of experience in software engineering, systems integration, platform engineering, automation, cybersecurity operations, or a technical field

 * Experience delivering business or enterprise software, automation, integration, platform, or application solutions
 * Experience implementing or supporting AI tools, automation platforms, AI gateways, workflow technologies, or enterprise applications
 * Experience with cloud platforms, DevSecOps practices, identity and access management, logging, and monitoring tools
 * Experience building secure system integrations, including sign-in, permissions, access controls, logging, and audit records and integrating systems through APIs, webhooks, or service-based architectures
 * Experience with cloud platforms, automated software delivery such as CI/CD, identity and access management, or monitoring tools
 * Experience troubleshooting complex technical issues, documenting solutions, and driving work to resolution
 * Ability to work independently while collaborating effectively across engineering, cybersecurity, product, and operational teams
 * Public Trust
 * Bachelor's degree

Nice If You Have:

 * Experience with AI Gateway capabilities, including model selection, usage monitoring, or governance
 * Experience with AI assistant workflows, prompt improvement, model evaluation, or orchestration tools
 * Experience with containers, Kubernetes, automated infrastructure setup, or cloud AI services
 * Experience creating operational dashboards, technical roadmaps, user enablement materials, or adoption metrics
 * Experience leading technical workstreams or mentoring engineers in an agile delivery environment

Vetting:Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.

## Description

As an AI DevOps Engineer you'll design, build, connect, and operate AI tools and automated workflows that help Booz Allen teams deliver secure, reliable results. You'll be a hands-on technical contributor helping teams use approved AI models, automate work, and connect AI tools to enterprise systems.

You'll work with engineers, product owners, cybersecurity practitioners, and platform teams to turn business and operational needs into practical solutions. You'll help make sure those solutions are secure, reliable, easy to use, and easy to support.

What You'll Work On:

 * Design, configure, test, deploy, and support AI tools and automated workflows.
 * Set up and operate the AI Gateway, which provides controlled access to approved AI models including access permissions, model selection, API connections, usage tracking, and audit records.
 * Lead the secure, maintainable connection of AI tools, APIs, enterprise applications, and workflow platforms.
 * Develop and maintain automation scripts, workflows, technical documentation, runbooks, and implementation guidance.
 * Plan and carry out testing, troubleshooting, and release activities for AI tools and automations.
 * Partner with cybersecurity and platform teams to protect data and implement secure sign-in, permissions, access controls, and monitoring.
 * Support cyber operations, including work with 5.5 and Mythos.
 * Review tool performance, usage, user feedback, and recurring issues to identify improvements.
 * Improve prompts, workflows, and AI assistant configurations to increase accuracy, reliability, and ease of use.
 * Provide technical input in design discussions, code reviews, backlog refinement, and sprint planning.
 * Coach junior team members and clearly communicate technical decisions, risks, and recommendations.