Senior AI Application Security Pentester

Core Responsibilities

• Lead AI Security Assessments: Design and execute penetration tests targeting AI applications, LLM integrations, and machine learning workflows.
• Identify Vulnerabilities: Conduct adversarial testing, model robustness evaluations, and risk analyses to uncover weaknesses in AI architectures, training data, and deployment environments.
• Collaborate Across Teams: Work closely with engineering and data science teams to implement secure development practices and mitigate AI-specific risks.
• Develop Best Practices: Establish security standards for AI systems, update policies, and recommend enhancements to address emerging threats.
• Ensure Compliance: Validate adherence to ethical, regulatory, and industry standards for AI security.
• Stay Ahead of Trends: Act as a subject matter expert on AI security, monitoring evolving threats and technologies.
• Support Broader Security Initiatives: Participate in enterprise-wide security assessments, risk analyses, and contingency planning for critical systems.

• Experience: Minimum 8 years in IT security, application security, or penetration testing, with hands-on experience in AI/ML environments preferred.
• Education: Undergraduate degree in a related field or equivalent combination of training and experience.
• Certifications: Preferred credentials include CISSP, GPEN, GWAPT, CEH, or similar.