The Senior Security Engineer role focuses on building resilient AI infrastructure while ensuring the security of AI deployments. This position is part of Google's Security team, which aims to create a safe operating environment for users and developers. The engineer will work closely with software engineers to identify and mitigate security vulnerabilities in AI systems. The role requires expertise in AI/ML and a strong understanding of security frameworks related to these technologies.

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field or equivalent practical experience.
• 5 years of experience in AI/ML development, AI infrastructure engineering, or software development.
• 5 years of experience with containerization (Docker) and orchestration (Kubernetes).
• 5 years of experience with Python and libraries like PyTorch, TensorFlow, or Hugging Face Transformers.
• Must possess an active Top Secret/SCI security clearance with current polygraph.

• Architect and manage LLM deployments across on-premises and cloud environments.
• Use Docker and Kubernetes to orchestrate scalable inference and training environments.
• Protect model weights, secure data ingestion, and harden inference endpoints across the MLOps lifecycle.
• Investigate and mitigate AI-specific threats such as prompt injection and data poisoning.
• Bridge local high-compute clusters and cloud AI services while maintaining a consistent security posture.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.