Staff Security Software Engineer, AI Security EngineeringActive$289K

Databricks
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The opportunity

RDQ226R605; This role can be based remotely anywhere in the United States.

What you'll do

  • 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 itself, and integration patterns with downstream consumers

  • Own the technical decisions on how the team's systems scale to cover: Databricks' growing AI surface, how they integrate with product security and detection pipelines, and what tooling capabilities to build vs. buy vs. open-source

  • Lead the design and development of AI platform capabilities that operate at: production scale — behavioral analysis of usage, detection of prompt injection attempts, anomaly detection on agentic workflow behavior

  • Define the methodology for AI security assessment: how Databricks systematically evaluates new AI capabilities against a comprehensive threat model before deployment and monitors them continuously after

  • Drive technical strategy for AI red-teaming tooling: automated adversarial testing platforms that simulate how real attackers attempt to abuse Databricks' AI systems

What they're looking for

  • Serve as the technical authority on AI security engineering for the Product: Security, SITH, IR, and ConMon teams — ensuring that AI security tooling outputs integrate cleanly into their workflows and meet their detection and assessment needs
  • Represent AI Security Engineering in architecture reviews, platform security: decisions, and cross-team technical discussions where AI security engineering considerations are material
  • Establish AI security engineering standards that teams building AI-connected: systems can adopt — reusable patterns for securing AI components in the Databricks platform
  • Mentor senior and mid-level engineers on AI security engineering: architecture, adversarial threat modeling, and technical leadership