AI Engineer

Job Number: R0241835 The Opportunity

As an experienced engineer, you understand that modern mission systems depend on the ability to develop,optimize, and deploy AI/ML models that canoperatereliably r 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'lldesign, test,optimize, and operationalize models across cloud, edge, and hybrid environments. You will drive the technical direction for mission-critical AI solutions by selecting bestfit 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'llalso contribute technical leadership by evaluating emerging AI/ML frameworks, guiding feature engineering approaches, supporting fine tuning and retraining cycles, and implementing monitoring frameworks to detect performance drift.

Yourexpertisewill help mission partners understand and navigate the rapidly evolving landscape of AI/ML technologies, ensuring deployed modelsremainperformant, reliable, and aligned with operational objectives. Work withus to solve complex realworld challenges and shape the model lifecycle strategy that will drive innovation across mission environments.

Join us. The worldcan'twait.

• 6+ years of experience with data science or AI/ML engineering
• Experience with programming languages such as Python or Rust
• Experience developing, training,validating, and deploying AI/ML models
• Experience optimizing AI/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/ML engineering, or Bachelor's degree and 4+ years of experience with data science or AI/ML engineering

• 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

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.

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,…