AI Engineer

AI Engineer

The Opportunity

As an experienced engineer, you understand that modern mission systems depend on the ability to develop, optimize, and deploy AI and ML models that can operate reliably at scale. Your expertise in analyzing datasets, engineering features, and applying advanced statistical and machine learning techniques will be critical to ensuring model readiness and enhancing real-world operational outcomes. We need your technical depth and problem‑solving mindset to advance the development, deployment, and continuous improvement of AI models that directly support evolving mission needs.

As an AI Model SME on our team, you'll design, test, optimize, and operationalize models across cloud, edge, and hybrid environments. You will drive the technical direction for mission-critical AI solutions by selecting best‑fit architectures, implementing robust deployment pipelines, and integrating models with enterprise and mission systems. You'll collaborate closely with data engineers, data scientists, cloud and network architects, and ISSE partners to ensure models are supported by secure, scalable infrastructure and high-quality data pipelines. You'll also contribute technical leadership by evaluating emerging AI and ML frameworks, guiding feature engineering approaches, supporting fine‑tuning and retraining cycles, and implementing monitoring frameworks to detect performance drift.

Your expertise will help mission partners understand and navigate the rapidly evolving landscape of AI and ML technologies, ensuring deployed models remain performant, reliable, and aligned with operational objectives. Work with us to solve complex real‑world challenges and shape the model lifecycle strategy that will drive innovation across mission environments.

Requirements

You Have:

• Experience with programming languages such as Python or Rust
• Experience developing, training, validating, and deploying AI and ML models
• Experience optimizing AI and ML models
• Knowledge of computing, storage, and networking requirements across model training, tuning, and inference phases
• Knowledge of model evaluation techniques
• Ability to design and implement model deployment pipelines and MLOps workflows
• Ability to implement monitoring frameworks for detecting model drift, performance degradation, and operational issues
• TS/SCI clearance with a polygraph
• HS diploma or GED and 6+ years of experience with data science or AI and ML engineering, or Bachelor's degree and 4+ years of experience with data science or AI and ML engineering

Nice If You Have:

• Experience with distributed compute frameworks
• Experience working in mission-focused or national security environments
• Experience evaluating new AI model architectures
• Knowledge of secure AI engineering best practices such as adversarial robustness, model governance, or NIST AI RMF
• Bachelor's degree

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 with polygraph is required.

Job Details

Job Number: R0251722

Location: Fort Meade, MD, US

Remote Work: No

Compensation

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 $99,000.00 to $225,000.00 (annualized USD).

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
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program

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.

Work Model

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

This position is listed as onsite. Work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Identity Verification

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.

Equal Opportunity

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.