The Opportunity: 

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. Efficient software development teams make the most of their time by limiting the activities that take developers away from writing their code. That’s why we need you, an experienced DevOps engineer, to help us shorten the time it takes to get critical tools developed and into the hands of end-users and decision makers who need them to make time sensitive, timely decisions to protect our nations critical cyber infrastructure.

In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. As an AI/ML engineer on our team, you’ll use your development experience to streamline our software development lifecycle from requirements to monitoring in production. You’ll incorporate open-source tools, automation, and cloud resources, and large language models to cut down on tedious, boring tasks and free up the team’s developers to do what they do best, innovate. You’ll implement continuous integration and delivery to limit manual testing and troubleshooting artificial intelligence capabilities. This is an opportunity to build your experience in DevOps and CI/CD while developing software that will improve national security. Join our team as we build tools to transform the future of our cyber infrastructure. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. 

Work with us to solve real-world challenges and define AI/ML strategy for cyber threat hunting and defensive cyberspace operations.  

Join us. The world can’t wait. 

You Have:  

• 1+ years of experience with operating in a software development environment

• Experience with leading a team to deliver services to customers

• Experience in scripting, including with Python, SQL, and API-driven architectures

• Knowledge of critical concepts in DevOps and Agile principles 

• Knowledge of enterprise search technologies such as Elasticsearch

• TS/SCI clearance

• Bachelor's degree

Nice If You Have:  

• Experience developing AI Agents and multi-agent architectures

• Experience working with modern data platforms, including Databricks, Apache Spark, or Snowflake

• Ability to triage issues, react well to changes, work with teams, and multi-task on multiple products and projects

• Possession of excellent verbal and written communication skills

• DoD 8570 IAT Level II Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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.

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.