Principal Engineer, AI/ML Security

Role overview

This senior technical leadership role focuses on securing AI systems and applying machine learning to security operations in a cloud environment. You will set the organization’s AI security direction, advise leaders on significant risks, and work hands-on with security, product, engineering, and data science teams to build protections and test them against evolving attacks.

Responsibilities

- Define an AI security strategy and multi-year roadmap, including priorities as products and threats change. - Guide the integration of AI security controls into customer-facing products and review major initiatives from design through launch. - Build and deploy security models, guardrails, tools, and automation with engineering and data science partners; monitor performance and drift. - Lead adversarial testing and red-team exercises covering prompt injection, jailbreaking, evasion, and data or model poisoning. - Threat-model the AI lifecycle, including data pipelines, training, evaluation, model serving, retrieval-augmented generation, agents, and ongoing monitoring. - Establish governance policies and controls, advise on high-risk decisions, and explain risk posture and investment needs to senior leadership.

Requirements

- 10+ years in cybersecurity, including 4–5 years focused on AI/ML security, adversarial machine learning, or security data science in a production technology or cloud environment. - Evidence of owning and driving organization-wide security or AI programs and strategy. - Deep practical understanding of attacks and defenses such as evasion, poisoning, model extraction, membership inference, and prompt injection. - Strong Python and Go programming skills, with experience building security tools and automation. - Ability to assess AI/ML architectures and translate research into engineering guidance and policy. - Experience communicating technical risk to executives and supporting decisions about priorities and investment.

Nice to have

- A bachelor’s or master’s degree in computer science, information security, mathematics, or a related field. - Hands-on familiarity with AI red-team and defensive tools and model supply-chain frameworks. - Experience engaging with the external AI security community.

Benefits and work setup

The listing describes eligibility for an annual bonus and possible equity, subject to plan terms and location. Benefits may include flexible time off, professional development support, local team events, and mental health resources; specific offerings vary by location.