Staff Security Software Engineer, AI Security Engineering

The AI Security Engineering team at Databricks builds the security tools, detection systems, and engineering infrastructure that protect Databricks' AI platform and the AI capabilities customers depend on. The team sits at the intersection of security engineering and AI systems, designing and shipping security tooling that scales AI threat detection, automates security assessment of AI systems, and provides high-confidence assurance that AI capabilities operate securely.

• Define the architecture and technical strategy for Databricks' AI security tooling platform, spanning adversarial testing, behavioral monitoring, threat detection, and automated assessment of AI components.
• Set engineering standards for the team: design review processes, reliability requirements, observability practices, security properties of the tooling, and integration patterns with downstream consumers.
• Lead design and development of AI platform capabilities at production scale — behavioral analysis of usage, detection of prompt injection attempts, and anomaly detection on agentic workflow behavior.
• Define the methodology for AI security assessment and drive technical strategy for AI red-teaming tooling.
• Serve as the technical authority on AI security engineering for Product Security, SITH, IR, and ConMon teams.
• Mentor senior and mid-level engineers on AI security engineering architecture, adversarial threat modeling, and technical leadership.

• 7–10 years of experience in security software engineering or a closely related discipline, with demonstrated technical leadership of security tooling programs and organizational-level impact.
• Expert Python engineering: designs and delivers production systems at scale; understands observability, reliability engineering, and security tooling integration.
• Deep expertise in AI/ML security — adversarial ML, prompt injection, model security, agentic framework trust boundaries.
• Experience designing security tooling architectures that span multiple teams and systems.
• Strong technical communication and cross-team adoption of standards.

• Research contributions or familiarity with adversarial ML, AI safety, or AI red-teaming methodology.
• Experience with MLOps platforms, AI serving infrastructure, or AI platform security at cloud scale.
• Familiarity with AI governance standards (NIST AI RMF, ISO/IEC 42001, EU AI Act technical provisions).
• Open-source contributions or publications in AI security, adversarial ML, or security tooling.

Pay ranges by zone: Zone 1 $289,200—$397,650 USD; Zone 2 $260,300—$357,950 USD; Zone 3 $245,800—$338,050 USD; Zone 4 $231,400—$318,100 USD. Total compensation may include annual performance bonus, equity, and benefits.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform. Headquartered in San Francisco with 30+ offices around the globe.