Principal Engineer, AI/ML Security

Role overview Set the direction for AI security and help protect customer-facing products and internal machine learning systems at cloud scale. This principal-level role combines technical leadership, hands-on security engineering, and organization-wide risk governance, serving as an escalation point for AI-related security decisions.

Responsibilities - Define a multi-year AI security strategy, prioritize risks, and guide investment as products and threats evolve. - Establish policies, standards, and controls for the development, deployment, and monitoring of AI/ML systems. - Partner with product and engineering leaders to incorporate security controls into customer-facing AI features. - Build and monitor models, guardrails, security tools, and automations with security engineering and data science teams; assess drift and performance and guide improvements. - Lead AI red-team exercises and security reviews, including testing for prompt injection, evasion, poisoning, and jailbreaking. - Threat model AI systems across data, training, evaluation, serving, retrieval-augmented generation, agents, and ongoing monitoring; communicate key risks to senior leaders.

Requirements - At least ten years in cybersecurity, including four to five years focused on AI/ML security, adversarial machine learning, or security data science in a production technology or cloud setting. - Track record of owning and driving security or AI programs at an organizational level. - Deep practical understanding of adversarial machine learning threats and defenses, including evasion, poisoning, model extraction, membership inference, and prompt injection. - Ability to assess AI security research and turn findings into engineering guidance and policy. - Experience communicating technical risks and investment needs to executive audiences. - Strong Python and Go skills, with experience building security tools and reviewing ML system architecture.

Nice to have - Hands-on experience with AI red-team and defensive tools or model supply-chain frameworks. - A degree in computer science, information security, mathematics, or a related field.

Benefits and work setup The role may include an annual bonus and equity, subject to eligibility and plan terms. Benefits vary by location and may include flexible time off, wellness support, local team meetups, and reimbursement for relevant training or education.