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Staff Security Researcher, AI Security

Lenovo·Tel Aviv, Israel·en
HybridFull-timeSecurity ResearchComputer HardwareEnterprise Software

Join a security research team developing methods to detect, assess, and mitigate risks from AI applications, agents, and services in enterprise environments. The role combines emerging-threat research with practical detections and defenses for an AI security platform. Hybrid work requires at least 3

Responsibilities

  • Lead research into AI security risks across enterprise applications, agents, and services
  • Develop methods to detect and analyze AI tools, agents, and their behavior
  • Design risk assessment frameworks for agent permissions, data access, tool use, and potential data leakage or abuse
  • Research attacks such as prompt injection, tool abuse, excessive agency, and data exfiltration; propose mitigations and policy controls
  • Work with engineering and product teams to turn research into AI security platform capabilities
  • Track security and AI research and assess its relevance to the innovation pipeline

Requirements

  • At least 3 years of experience as a security researcher
  • Strong understanding of AI and LLM architectures and integrations, including RAG, MCP, tool orchestration, and AI agents
  • Understanding of operating system and networking internals
  • Experience developing detection logic from security telemetry
  • Familiarity with MITRE ATT&CK, MITRE ATLAS, OWASP Top 10 for LLM Applications, and threat modeling
  • Programming and scripting proficiency in Python and at least one of C/C++, Go, or Rust

Nice to have

  • Experience researching security products such as threat detection or data protection solutions
  • macOS security research experience, including macOS internals
  • Experience with agentic AI frameworks and their security risks
  • Familiarity with AI security toolkits
  • Security or AI security publications, conference talks, or CVEs

Benefits

  • Career advancement and personal growth opportunities
  • Training programs
  • Performance-based rewards
  • Hybrid schedule: 3 days in the office and 2 days working from home

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