AI Governance Security Engineer

• Conducting risk evaluations of AI use cases across GenAI, agentic AI, shadow AI, and AI gateway/MCP domains, scoring exposure using Likelihood and Impact methodology and maintaining the AI governance risk register.

• Identifying security gaps in GenAI deployments including prompt injection, data leakage, model misuse, and output handling, and recommending targeted controls.

• Assessing agentic AI systems for risks around autonomy, tool access, privilege escalation, and unintended action, and defining monitoring requirements.

• Detecting and evaluating shadow AI and local/unsanctioned AI usage, quantifying risk and recommending detection and enforcement approaches.

• Evaluating AI security tooling including AI gateways, CASB/SWG, Model Context Protocol governance solutions, and agentic monitoring platforms for functional requirements and integration.

• Contributing to security frameworks, architectural standards, and policies that translate the AI Governance Risk Charter into concrete technical requirements and control implementations.

• Applying security engineering judgment across network, endpoint, cloud, and data security domains to support architecture reviews, risk assessments, and incident response.

• Partnering with AI/ML, engineering, and enterprise teams through collaborative working groups to identify security solutions and tracking execution.

• Have 5+ years of experience in security engineering, cybersecurity, or a closely related field, demonstrated understanding of cybersecurity frameworks, compliance requirements, and emerging threat landscapes.

• Bring hands-on experience with risk assessment and risk management methodologies, including impact-based prioritization.

• Possess working knowledge of modern AI/ML systems and the security risks they introduce (LLMs, generative AI, agentic systems). Have working knowledge of core security domains beyond AI (e.g., network, endpoint, cloud, or data security) sufficient to contribute to architecture reviews and risk assessments.

• Bring experience securing GenAI, agentic AI, or LLM-based applications in enterprise environments would be a bonus. As well as familiarity with AI gateways, Model Context Protocol (MCP), CASB/SWG, or DLP tooling.

• Have experience detecting and governing shadow IT / shadow AI usage would be advantageous. As well as threat modeling experience applied to AI or novel technology environments.

• Leverage experience contributing to incident response, detection engineering, or purple team exercises would be a bonus.

$98,900.00

Maximum:

$228,700.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

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About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment

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