AI/ML Engineeer

Booz Allen Hamilton•Hampton, VA

18h•Onsite

About The Position

Imagine using artificial intelligence (AI) to improve critical IT operations for integrated warfighting capabilities. As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly deliver the best operational data. 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 the hands of those who need them most. On our team, you’ll streamline IT operations to enhance platform productivity to improve integrated warfighting capabilities including Agentic AI positioned as a critical enabler for next-gen autonomy and decision-support capabilities. Relate to AI enabled, policy controlled containerized application and data workload management and orchestration required for CDO-L and resilient capabilities. As an experienced engineer, you know that building reliable and scalable AI systems requires strong software engineering practices, automation, and seamless integration across complex, secure environments. Your ability to design and maintain robust AI/ML pipelines, automate workflows, and integrate AI capabilities into production systems makes you an essential part of delivering resilient, mission-focused solutions. We need your technical expertise and problem‑solving mindset to support the development and operationalization of AI capabilities that directly enhance mission resilience, performance, and decision‑making. In this role, you’ll guide the development of mission‑critical AI solutions by building reproducible pipelines, applying automation best practices, and introducing emerging tools that enhance performance and reliability. You’ll collaborate with others including AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs to align AI and ML workflows with infrastructure and security requirements, ensuring seamless integration into production and mission systems. You’ll contribute to solutions that optimize resilience of warfighting capabilities including their data flows, operational workflow automation, workload environmental monitoring, workload management, and resilient mission execution across hybrid compute environments. Join us. The world can’t wait.

Requirements

5+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments
5+ years of experience with scripting languages such as Python or Linux Shell Script and configuration management tools
5+ years of experience automating infrastructure provisioning, in the creation, and improvement of continuous automation across multiple technical stacks
5+ years of experience with troubleshooting, triaging, and resolving issues with CI/CD pipeline failures or slowness, built using Kubernetes, Docker, or Jenkins
5+ years of experience with AI/ML capabilities applied to policy controlled, workload management and orchestration including Zero Trust Containerized applications and data
5+ years of experience with troubleshooting, triaging, and resolving issues related to both open source and commercial tools in public cloud environments
Experience with artificial intelligence and machine learning frameworks for monitoring and optimization and containerization and container orchestration platforms and tools
Experience adding testing and security scans to pipelines
Ability to obtain a Secret clearance
Bachelor's degree

Nice To Haves

Experience with cloud platforms like AWS, Azure, or Google Cloud Platform
Experience integrating AI systems architecture, AI platforms, or ML flow
TS/SCI clearance
ML, DevOps, or solution architecture certification

Responsibilities

Streamline IT operations to enhance platform productivity to improve integrated warfighting capabilities.
Develop tools and get them into the hands of those who need them most.
Build reproducible pipelines, apply automation best practices, and introduce emerging tools that enhance performance and reliability.
Collaborate with AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs to align AI and ML workflows with infrastructure and security requirements.
Ensure seamless integration of AI capabilities into production and mission systems.
Contribute to solutions that optimize resilience of warfighting capabilities including their data flows, operational workflow automation, workload environmental monitoring, workload management, and resilient mission execution across hybrid compute environments.