The Opportunity: 

As an experienced engineer, you know that AI is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using AI/ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to solve problems to support the advancement of AI within the Department of War (DoW).

In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit AI/ML algorithms, optimization models and technologies. You’ll be part of a talented team of engineers across the company and collaborate with business and technical leaders to deliver world-class AI solutions that solve our nation’s toughest and hardest problems. Your skills and extensive technical expertise will guide our DoW customers as they navigate the landscape of AI/ML algorithms, tools, and frameworks. 

What You'll Work On:

• Design and implement AI‑enabled decision support capabilities, including forecasting, optimization, natural language interfaces, and intelligent workflow automation.

• Implement pipelines on AWS GovCloud using SageMaker, Step Functions, and Databricks ML Runtime.

• Build and maintain PySpark and Delta Lake pipelines within a medallion architecture.

• Develop feature stores aligned to governance standards and perform data profiling and quality validation consistent with government data standards.

• Maintain model bias assessments and explainability documentation for all production models.

• Implement model monitoring frameworks for concept drift, data drift, and performance degradation.

• Produce artifacts and monthly model performance reports in accordance with approved formats.

• Collaborate with requirements owner and partner agencies to translate mission requirements into model specifications.

• Coach and mentor junior engineers.

Join us. The world can’t wait.

You Have:

• 5 years of experience designing, developing, validating, and deploying supervised and unsupervised AI/ML and optimization models delivering in enterprise production environments

• 5 years of experience in Python such as scikit-learn, XGBoost, PyTorch, or TensorFlow, PySpark, and SQL

• Secret clearance

• Bachelor's degree in a Computer Science, Data Science, Statistics, Applied Mathematics, or Engineering field

Nice If You Have:

• Experience with Databricks and Palantir products

• Experience operating within FedRAMP-authorized cloud environments

• Experience with Terraform, CloudFormation, and CI/CD pipelines such as GitLab CI or AWS CodePipeline

• Experience with federal or government technology, data, and model standard such as CMMC or RMF

• Experience with prompt engineering and RAG architecture

• Knowledge of large language model (LLM) deployment patterns in air-gapped or restricted network environments

• TS/SCI clearance

• Master’s degree

• AWS Certified Generative AI Developer - Professional, AWS Certified Machine Learning Engineer, Databricks Certified Professional, or equivalent vendor 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.

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.