Staff Security Software Engineer, AI Security

RDQ426R108

This role is open to candidates in the US (any location)

The AI Security team at Databricks sits at the frontier of securing the AI/ML services in the Databricks platform. As we ship AI capabilities at the leading edge of the industry, including Agent Bricks, the Genie suite, AI Model Serving, MLflow, and Unity AI Gateway, the AI Security team ensures these systems are designed, built, and operated securely. Our work also extends to securing our own usage of AI: building the right guardrails that enable Databricks employees to innovate and deliver securely.

The team combines offensive security depth with AI/ML engineering knowledge to identify novel threats, build scalable defenses, and influence how AI products are architected from the ground up. We lead AI Red Team exercises, build security tooling for AI workloads, and partner directly with AI Product teams to embed security into the development lifecycle.

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As a Staff Security Software Engineer on the AI Security team, you are a senior technical leader who sets the standards for how Databricks secures its AI and ML capabilities. You combine deep offensive security expertise with practical knowledge of AI/ML systems to identify and drive resolution of the most significant security risks in Databricks' AI platform.

You lead AI red team engagements against production AI systems, conduct security architecture reviews for complex, multi-system AI features, and build the tooling and frameworks that scale the team's impact. You are a subject matter expert in at least two AI security domains and you operate with significant autonomy- driving cross-team remediation, setting technical standards, and mentoring teammates in both offensive techniques and secure AI design.

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AI Red Team & Adversarial Testing

AI Product Security & Architecture Reviews

AI Security Tooling & Automation

Cross-Team Remediation & Standards

Mentorship & Community

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What We Look For

• Lead AI red team engagements against Databricks' production AI systems, including Foundation Model APIs, Genie and natural language query systems, Model Serving infrastructure, MCP-connected agents, and RAG pipelines
• Design and execute adversarial attack scenarios: prompt injection, jailbreaking, memory poisoning, cross-tenant data leakage in multi-tenant serving, and sandbox bypasses
• Develop proof-of-concept exploits for AI-specific vulnerability classes and perform variant analysis to identify the full scope of exposure across the AI platform

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Why Databricks

On the AI Security team, you'll work on a class of security problem that didn't exist five years ago, and that the industry is still figuring out. You'll run red team engagements against a live AI platform used by over 12,000 organizations, build tooling that has no precedent to copy, and drive security decisions that shape how AI products are built across the company. The problems are novel, the stakes are real, and the team working on them is exceptional.

• Published research on AI/ML security topics or experience presenting at AI security venues (DEF CON AI Village, NeurIPS workshops, Black Hat)
• Experience with OWASP Top 10 for LLMs, MITRE ATLAS, or similar AI security frameworks
• Familiarity with MLflow, Unity Catalog, Delta Lake, or Databricks platform internals
• OSCP or equivalent offensive security certification

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.