AI/ML Engineer

Booz Allen; Norfolk (VA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a DevOps engineer to design and operationalize AI-enabled, policy-controlled, containerized workloads across hybrid compute environments. You will automate builds, tests, monitoring, and releases, tying together AI/ML pipelines with secure, scalable infrastructure.

The role emphasizes collaboration with AI Model Engineers and Data Engineers to deliver resilient mission-focused solutions, leveraging automation best practices and modern toolchains.

Qualifications

• 3+ years automating builds, testing, monitoring, and releases across environments.
• 3+ years scripting with Python or Linux Shell Script and configuration management tools.
• 3+ years automating infrastructure provisioning and continuous automation.
• 3+ years troubleshooting CI/CD pipelines with Kubernetes, Docker, or Jenkins.
• 3+ years applying AI/ML to policy-controlled workload management and orchestration.
• 3+ years troubleshooting tools in public cloud environments.
• Experience with AI/ML frameworks for monitoring and optimizing containerization and orchestration.
• Experience adding testing and security scans to pipelines.

Responsibilities

• Build reproducible AI/ML pipelines and automation workflows.
• Collaborate with AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs.
• Integrate AI capabilities into production systems and secure environments.
• Support resilient mission-focused solutions in hybrid compute environments.

Skills

Python scripting

Shell scripting

CI/CD automation

Kubernetes

Docker

Jenkins

AI/ML pipelines

Security testing in pipelines

Education

Bachelor's degree

Tools

Jenkins

Kubernetes

Docker

Job description

The Opportunity

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.

Job Number: R0242615

The Opportunity

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.

You Have

• 3+ 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
• 3+ years of experience with scripting languages such as Python or Linux Shell Script and configuration management tools
• 3+ years of experience automating infrastructure provisioning, in the creation, and improvement of continuous automation across multiple technical stacks
• 3+ years of experience with troubleshooting, triaging, and resolving issues with CI/CD pipeline failures or slowness, built using Kubernetes, Docker, or Jenkins
• 3+ years of experience with AI/ML capabilities applied to policy controlled, workload management and orchestration including Zero Trust Containerized applications and data
• 3+ 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
• Secret clearance
• Bachelor's degree

Nice If You Have

• 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

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.