Principal AI Security Engineer

The Principal AI Security Engineer will lead the technical AI security strategy across ML and Generative AI infrastructure, serving as the primary technical owner for AI risk management and the Model Risk Office from a security perspective. This role involves building comprehensive AI security tools, frameworks, and AI-powered security solutions to enable secure AI/ML systems at scale. Responsibilities include driving AI risk management across model security, adversarial attacks, data privacy, and AI supply chain security, while partnering with legal and privacy teams on governance. The engineer will also lead AI security strategy and risk assessment for customer-facing AI products, fraud detection models, LLMs, and recommendation systems. They will build and maintain AI security frameworks, tools, and monitoring capabilities for model validation and ongoing risk management, conduct security assessments of AI/ML model architectures, training pipelines, and deployment infrastructure, and develop security controls for AI/ML systems including adversarial attack prevention and bias mitigation. Additionally, the role includes mentoring security engineers and cross-functional teams on AI security best practices, partnering closely with AI/ML engineering, data science, product security, and compliance teams, creating secure AI development lifecycle practices and self-service security capabilities, and driving technical decisions for AI security architecture and implementation across the organization.