AI DevOps Technologist

Booz Allen Hamilton•McLean, VA

2d•$99,000 - $225,000•Remote

About The Position

As an AI DevOps Technologist, you will design, build, connect, and operate AI tools and automated workflows that help Booz Allen teams deliver secure, reliable results. You will be a hands-on technical contributor helping teams use approved AI models, automate work, and connect AI tools to enterprise systems. You will work with engineers, product owners, cybersecurity practitioners, and platform teams to turn business and operational needs into practical solutions. You will help make sure those solutions are secure, reliable, easy to use, and easy to support. Due to the nature of work performed within this facility, U.S. citizenship is required.

Requirements

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 integrating systems through APIs, webhooks, or service-based architectures
Experience building secure system integrations, including sign-in, permissions, access controls, logging, and audit records
Experience with cloud platforms, automated software delivery (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
Bachelor's degree

Nice To Haves

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 supporting Cyber Ops platforms or processes, including 5.5 and Mythos
Experience creating operational dashboards, technical roadmaps, user enablement materials, or adoption metrics
Experience leading technical workstreams or mentoring engineers in an agile delivery environment

Responsibilities

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. This includes 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.