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Ai Penetration Testing Jobs (NOW HIRING)

Penetration Tester For AI/ML Systems 7+ years of experience in penetration testing with a focus on AI/ML systems, including hands-on exploitation of vulnerabilities like adversarial attacks, model ...

Develop or modify custom tools and scripts to support new penetration testing needs, automation, and AI-assisted testing approaches * Document and formally report testing scope, methodology, findings ...

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Develop or modify custom tools and scripts to support new penetration testing needs, automation, and AI-assisted testing approaches * Document and formally report testing scope, methodology, findings ...

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... and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable ... Collaborate with DoD and Government penetration testing organizations to plan, scope, and prepare ...

Conduct penetration testing and red team engagements across network, web applications, cloud, and ... and AI-powered security testing solutions. * Create executive and technical reports detailing ...

... testing AI, LLM, or Generative AIenabled applications * 1+ year of experience using AI models (such as Claude or similar) to accelerate tool development or testing workflows + Advanced knowledge of ...

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... testing AI, LLM, or Generative AIenabled applications * 1+ year of experience using AI models (such as Claude or similar) to accelerate tool development or testing workflows + Advanced knowledge of ...

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... testing AI, LLM, or Generative AIenabled applications * 1+ year of experience using AI models (such as Claude or similar) to accelerate tool development or testing workflows + Advanced knowledge of ...

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How much do ai penetration testing jobs pay per year?

As of Jun 10, 2026, the average yearly pay for ai penetration testing in the United States is $119,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $141,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Penetration Tester, and why are they important?

To thrive as an AI Penetration Tester, you need a solid understanding of cybersecurity principles, machine learning concepts, and experience with threat modeling and vulnerability assessment, often supported by certifications like OSCP or CEH. Familiarity with tools such as Metasploit, Burp Suite, Python scripting, and AI-specific frameworks (e.g., TensorFlow, PyTorch) is typically required. Strong analytical thinking, attention to detail, and effective communication skills set outstanding professionals apart in this field. These skills are crucial to identify, exploit, and mitigate security risks in AI systems, ensuring their resilience against evolving threats.

What are some common challenges faced by professionals in AI penetration testing, and how can they be addressed?

AI penetration testers often encounter the challenge of rapidly evolving AI systems and adversarial attack methods, which require continuous learning and adaptation. Another common issue is the complexity of AI models, making it difficult to identify vulnerabilities without deep domain knowledge. These challenges can be addressed by staying updated on the latest AI security research, collaborating closely with data scientists and developers, and leveraging specialized tools designed for AI model assessment. Building a strong interdisciplinary team helps ensure comprehensive testing and robust security coverage.

What is the difference between Ai Penetration Testing vs Ai Security Analyst?

AspectAi Penetration TestingAi Security Analyst
CertificationsCEH, OSCP, CISSPCISSP, CompTIA Security+
Work EnvironmentSecurity labs, testing environmentsMonitoring, analyzing security systems
Primary FocusIdentifying vulnerabilities in AI systemsMonitoring and defending AI infrastructure
Industry UsageCybersecurity, AI development firmsOrganizations with AI security needs

Ai Penetration Testing involves actively probing AI systems for vulnerabilities, while Ai Security Analysts focus on monitoring and defending AI infrastructure. Both roles require cybersecurity certifications and are vital in protecting AI assets, but they differ in their approach—testing versus ongoing security management.

What is AI penetration testing?

AI penetration testing is the process of assessing the security of artificial intelligence systems by simulating cyberattacks to identify vulnerabilities and weaknesses. This involves testing both the underlying infrastructure and the AI models themselves, such as checking for data poisoning, model evasion, and adversarial attacks. The goal is to ensure that AI systems are robust, secure, and protected against malicious exploitation, helping organizations safeguard sensitive data and maintain trust in their AI-driven processes.
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What states have the most Ai Penetration Testing jobs? States with the most job openings for Ai Penetration Testing jobs include:
AI Penetration testing

AI Penetration testing

ClifyX

Detroit, MI

Other

Posted 4 days ago


Job description

Penetration Tester For AI/ML Systems

7+ years of experience in penetration testing with a focus on AI/ML systems, including hands-on exploitation of vulnerabilities like adversarial attacks, model theft, and MCP-specific exploits using tools such as Burp Suite, Metasploit, or custom scripts required.

5+ years of offensive security expertise in AI environments, with deep knowledge of threats like prompt injection, data poisoning, evasion techniques, agentic system exploits (e.g., lateral movement, over-permissioned contexts), and Model Context Protocol (MCP) vulnerabilities required.

Proficiency in scripting and tool development (Python required; familiarity with TensorFlow/PyTorch for AI manipulation); experience integrating pen-tests into CI/CD pipelines (GitLab preferred).

Strong background in threat modeling for AI, including attack surface mapping, exploit chaining in agentic architectures, MCP security risks, and compliance with regulations like GDPR and emerging AI laws.

Expertise in cloud-native security testing (AWS preferred, with services like EC2, S3, and SageMaker) and big data environments for AI-scale attacks, including agentic and MCP integrations.

Bachelor's degree in cybersecurity, computer science, or related field required; advanced certifications (e.g., OSCP, OSWE, or AI-specific equivalents) and/or Master's/PhD preferred.


ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998