Senior Staff Software Engineer, AI/ML

Responsibilities

• Define and drive the long-term technical goal and architectural strategy for model armor and sensitive data protection, ensuring Google Cloud remains a leader in generative AI security.
• Lead the design and implementation of highly scalable, low-latency systems to detect and mitigate emerging threats such as prompt injection, jailbreaking, and sensitive data leakage across enterprise environments.
• Act as a principal technical influencer to align security roadmaps across Google Cloud, DeepMind, and other product areas, navigating constraints like latency, cost, and global compliance.
• Resolve technical disagreements among execute engineers and researchers, forging consensus to deliver on high-stakes, cross-functional objectives across multiple time zones.
• Partner with executive leadership to evaluate Machine Learning (ML) security research and provide technical mentorship to staff and executive engineers, elevating the organization’s overall domain expertise.
• - Define and drive the long-term technical goal and architectural strategy for model armor and sensitive data protection, ensuring Google Cloud remains a leader in generative AI security. - Lead the design and implementation of highly scalable, low-latency systems to detect and mitigate emerging threats such as prompt injection, jailbreaking, and sensitive data leakage across enterprise environments. - Act as a principal technical influencer to align security roadmaps across Google Cloud, DeepMind, and other product areas, navigating constraints like latency, cost, and global compliance. - Resolve technical disagreements among execute engineers and researchers, forging consensus to deliver on high-stakes, cross-functional objectives across multiple time zones. - Partner with executive leadership to evaluate Machine Learning (ML) security research and provide technical mentorship to staff and executive engineers, elevating the organization’s overall domain expertise.

Minimum qualifications: