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AI Security Engineer

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AI Security Engineer in USA

  • Check Point Software Technologies
  • Full time
  • Email
  • Remote

Responsibilities

  • Deliver AI red teaming security assessments for enterprise customers.
  • Scope projects with clients, define testing requirements, and establish success criteria.
  • Assess text-based LLM applications, multimodal agentic systems, connected tools, APIs, and services.
  • Perform creative manual testing alongside automated testing to identify vulnerabilities.
  • Write security assessment reports with actionable findings and remediation recommendations.
  • Present findings and strategic recommendations to technical and executive stakeholders.
  • Develop AI red teaming frameworks, methodologies, playbooks, documentation, and automation.
  • Research emerging AI security threats, attack vectors, defense mechanisms, and modalities.
  • Collaborate with research and product teams to improve AI security methodologies.

Requirements

  • Demonstrated offensive security experience through red teaming, penetration testing, security assessments, bug bounty programs, and/or CTF participation.
  • Ability to manually identify and exploit real vulnerabilities, beyond operating automated tools.
  • Strong knowledge of web application, API, and network security fundamentals.
  • Deep understanding of LLM vulnerabilities, including prompt injection, jailbreaking, data poisoning, agentic risks, and tool-use risks.
  • Practical experience threat-modeling complex systems and architectures.
  • Proficiency developing automated tooling to improve testing capabilities and workflows.
  • Experience contributing to or leading client-facing security assessment projects from scoping through delivery.
  • Excellent technical writing, reporting, presentation, and customer communication skills.
  • Understanding of AI/ML model architectures, training processes, and deployment patterns.
  • Familiarity with OWASP Top 10 for LLM Applications, OWASP Top 10 for Agentic Applications, and MITRE ATLAS.
  • Knowledge of multimodal systems, AI agents, and tool and Model Context Protocol integrations.
  • Preferred qualifications include relevant security certifications such as OSCP, OSWA, OSAI, COAE, or BSCP.
  • Preferred qualifications include professional penetration testing, AI red teaming, LLM jailbreak design, security research, threat modeling, risk assessment, or security conference speaking experience.

Benefits

  • Opportunity to shape the future of AI security and work with emerging AI technologies and attack methodologies.
  • Lead high-visibility projects with enterprise clients across diverse industries.
  • Collaborate with a research team focused on AI safety and receive research and development time between engagements.
  • Build thought leadership within the AI security community.
  • California, US remote work arrangement.

Check Point Software Technologies

Check Point Software Technologies Ltd. is a leading protector of digital trust, utilizing AI-powered cyber security solutions to safeguard over 100,000 organizations globally. Through its Infinity Platform and an open garden ecosystem, Check Point’s prevention-first approach delivers industry-lea...

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