AI Security Engineer, AI Security Unit

Company Description

Why Join Us

At Check Point, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.

Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.

This is where innovation meets real-world impact. You’ll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.

We’re proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.

What really sets Check Point apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.

If you’re excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.

Job Description

We're looking for an AI Security Engineer to join our Red Team and help us push the boundaries of AI security.

You'll run cutting-edge security assessments, develop novel testing methodologies, and work directly with enterprise clients to secure their AI systems. This role combines hands-on manual and automated red teaming, client engagement, and the development of automation that helps scale testing efforts. You'll thrive in this role if you want to be at the forefront of an emerging discipline, enjoy working on nascent problems, and like both breaking things and building processes that scale.

This is a highly cross-functional position. AI security is still being defined, with best practices emerging in realtime. You'll be building the frameworks, methodologies, and tooling that scale our services while staying adaptable to rapid changes in the AI landscape. This role is ideal for someone who wants to take their traditional cybersecurity expertise and apply it to the new frontier of AI security and safety. Your focus will span several key areas:

Service Delivery & Client Engagement

Deliver AI red teaming security assessments for enterprise customers.

Collaborate with clients to scope projects, define testing requirements, and establish success criteria

Conduct comprehensive security assessments of AI systems, including text-based LLM applications and multimodal agentic systems

Extend testing to tools, APIs, and services these AI systems connect to

Test manually and creatively beyond automated coverage to find the failures that tooling misses

Author detailed security assessment reports with actionable findings and remediation recommendations

Present findings and strategic recommendations to technical and executive stakeholders through report readouts and Q&A sessions

Tooling & Methodology Development

Build upon and improve our established processes and playbooks to scale AI red teaming service delivery

Develop frameworks to ensure consistent, high-quality service delivery

Find tedious, repetitive tasks and automate them. You don't need to be a world-class developer - just someone who can build tools that make the team more effective. The goal is to automate routine work to free up time for targeted manual testing, not replace it.

Research & Innovation

Develop novel red teaming methodologies for emerging modalities: image, video, audio, autonomous systems

Stay ahead of the latest AI security threats, attack vectors, and defense mechanisms

Translate cutting-edge academic and industry research into practical testing approaches

Collaborate with our research and product teams to continuously level up our methodologies

Qualifications

Technical Expertise

Demonstrated offensive security experience shown through red teaming, penetration testing, security assessments, bug bounty programs, and/or CTF participation

Demonstrated ability to find and exploit real vulnerabilities by hand, not only by running tools

Strong knowledge of web application, API, and network security fundamentals

Deep understanding of LLM vulnerabilities including direct and indirect prompt injection, jailbreaking, data poisoning, agentic and tool-use risks

Practical experience with threat modeling complex systems and architectures

Proficiency in developing automated tooling to enable and enhance testing capabilities, improve workflows, and deliver deeper insights

Professional Skills

Proven track record of contributing to or leading client-facing security assessment projects from scoping through delivery

Excellent technical writing skills with experience creating executive-level security reports

Strong presentation and communication skills, with the ability to clearly explain assessment findings and answer customer questions.

Experience or interest building processes, documentation, and tooling for service delivery teams

AI Security Knowledge

Understanding of AI/ML model architectures, training processes, and deployment patterns

Familiarity with AI security frameworks such as the OWASP Top 10 for LLM Applications, the OWASP

Top 10 for Agentic Applications, and MITRE ATLAS.

Knowledge of emerging AI attack surfaces including multimodal systems and AI agents, and the tool and Model Context Protocol (MCP) integrations around them

Preferred Qualifications

Relevant security certifications (OSCP, OSWA, OSAI, COAE, BSCP, etc.)

Professional web application, API, or network penetration testing experience

Hands-on experience performing AI red teaming assessments, with a strong plus for experience targeting agentic systems

Demonstrated experience designing LLM jailbreaks

Active participation in security research and tooling communities

Background in threat modeling and risk assessment frameworks

Previous speaking experience at security conferences or industry events

What You'll Gain

Opportunity to shape the future of AI security as an emerging discipline

Work with cutting-edge AI technologies and novel attack methodologies

Lead high-visibility projects with enterprise clients across diverse industries

Collaborate with a world-class research team pushing the boundaries of AI safety

Research and development time between engagement cycles to contribute to team success

Platform to establish thought leadership within the AI security community

Additional Information