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AI Security Researcher

United Kingdom, London · Job Posted March 18, 2026
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Job Description

We're looking for a talented AI Security Researcher to join our team and play a critical role in Wiz's foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks.

Job Responsibility

  • Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems
  • Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities
  • Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it)
  • Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope

Requirements

  • 5+ years of hands-on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.)
  • Strong hands-on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry
  • Proven ability to work independently, prioritize effectively, and drive complex, multi-quarter research projects from initial concept through to clear, delivered impact
  • Excellent written and verbal communication skills, with a track record of successfully collaborating with cross-functional teams (e.g Product, Engineering, Marketing) to achieve shared goals

Nice to have

  • Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise
  • Experience in public-facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research
  • Experience conducting data-driven research and working with large-scale security telemetry to derive statistically significant or high-impact findings

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