AI Governance Security Engineer

Zoom Video Communications, Inc.

$98K — $228K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in security engineering or cybersecurity with a focus on frameworks and emerging threats.
  • Hands-on experience with risk assessment methodologies and impact-based prioritization.
  • Knowledge of modern AI/ML systems and associated security risks, like LLMs and generative AI.
  • Experience securing GenAI and agentic AI applications in enterprise settings is a plus.
  • Familiarity with AI governance tools like Model Context Protocol and DLP solutions.
  • Experience detecting and governing shadow IT/AI usage is advantageous.
  • Background in incident response and detection engineering is a bonus.

Responsibilities

  • Conduct risk evaluations of AI use cases using Likelihood and Impact methodology.
  • Identify and address security gaps in GenAI deployments with targeted control recommendations.
  • Assess risks in agentic AI systems and define monitoring requirements.
  • Detect and evaluate shadow AI usage, quantifying risk and suggesting enforcement approaches.
  • Evaluate AI security tooling for functional requirements and integration.
  • Contribute to translating the AI Governance Risk Charter into technical requirements and controls.
  • Apply security engineering judgment across various security domains to support architecture reviews and risk assessments.
  • Collaborate with AI/ML and engineering teams to identify and implement security solutions.

Benefits

  • Variety of perks and benefits for physical, mental, emotional, and financial health.
  • Support for maintaining work-life balance.
  • Opportunities for community contribution and involvement.
Full Job Description
What you can expect

You'll own risk assessment across four AI governance domains: GenAI Security, Agentic AI Security, Shadow AI detection, and AI Gateway/Model Context Protocol governance, identifying where emerging AI use cases create exposure. Working with AI/ML teams and security engineering, you'll define the controls, tooling, and standards that enable Zoom to adopt AI safely at scale. You'll operationalize the AI Governance Risk Charter while contributing your security engineering judgment across network, endpoint, cloud, and data security domains.

Responsibilities
  • 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.


What we're looking for
  • 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.


Salary Range or On Target Earnings:

Minimum:
$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!

Anticipated Position Close Date:

08/06/26

Ways of Working
Our 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.

Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.

#LI-Remote

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