Secure AI Engineer

Booz Allen Hamilton•Fort Meade, MD

45d

About The Position

Secure AI Engineer The Opportunity: As a Secure AI Architect, you’ll be responsible for designing and implementing secure architectures for artificial intelligence and machine learning (AI/ML) systems across the organization. This role bridges cybersecurity and AI engineering disciplines to ensure that AI models, data pipelines, and supporting infrastructure are protected against threats such as data poisoning, model inversion, prompt injection, and adversarial attacks. You will play a key role in shaping enterprise AI security strategies, developing secure model deployment frameworks, ensuring compliance with emerging AI regulations, and embedding security-by-design principles into all AI initiatives. Join us. The world can’t wait.

Requirements

5+ years of experience in cybersecurity, cloud architecture, or AI/ML security
Experience with adversarial ML techniques, model security testing, and privacy-preserving ML such as differential privacy and federated learning
Knowledge of AI/ML technologies, data pipelines, and model lifecycle management
Knowledge of secure software development, threat modeling, and cloud security such as AWS, Azure, or GCP
Secret clearance
Bachelor’s degree in a CS, Cybersecurity, or AI field

Nice To Haves

Experience with MLOps tools such as Kubeflow, MLflow, or SageMaker, and security automation
Knowledge of emerging AI security standards and regulatory frameworks
Master’s degree in CS, Cybersecurity, AI, or a related field
CISSP, CCSP, CSSLP, or Google Professional ML Engineer Certification

Responsibilities

Designing and implementing secure architectures for artificial intelligence and machine learning (AI/ML) systems
Shaping enterprise AI security strategies
Developing secure model deployment frameworks
Ensuring compliance with emerging AI regulations
Embedding security-by-design principles into all AI initiatives