The Staff Security Software Engineer role at Databricks focuses on leading the technical direction for AI security engineering. This position is part of the AI Security Engineering team, which is responsible for building security tools and detection systems to protect Databricks' AI platform. The engineer will define architecture and standards for AI security tooling, ensuring alignment with various security teams. The role requires a deep understanding of AI/ML security and the ability to mentor other engineers in the field.

• 7–10 years of experience in security software engineering or a closely related discipline.
• Expertise in Python engineering with a focus on production systems at scale.
• Deep expertise in AI/ML security, including adversarial ML and prompt injection.
• Experience designing security tooling architectures that span multiple teams and systems.
• Strong technical communication skills to align engineering and security leadership.

• Define the architecture and technical strategy for Databricks' AI security tooling platform.
• Set engineering standards for the team, including design review processes and reliability requirements.
• Lead the design and development of AI platform capabilities that operate at production scale.
• Serve as the technical authority on AI security engineering for various teams.
• Mentor senior and mid-level engineers on AI security engineering architecture and practices.