AI Security Penetration Tester / AI Red Team Engineer

Title: AI Security Penetration Tester / AI Red Team Engineer Position Overview We are seeking a highly skilled AI Security Penetration Tester / AI Red Team Engineer to lead offensive security engagements focused on AI/ML-powered applications and platforms. This role is responsible for identifying, exploiting, and demonstrating security risks across traditional and AI-specific attack surfaces, including LLMs, AI-enabled APIs, and AI-driven business logic. You will collaborate with Engineering, Security, Red Teams, SOC, and AI research teams to proactively identify weaknesses, simulate real-world AI attacks, and guide remediation strategies to strengthen enterprise AI security posture. Key Responsibilities • Conduct AI-focused penetration testing across web, API, mobile, and AI-powered systems. • Perform AI red teaming exercises including prompt injection, jailbreak testing, model evasion, and adversarial ML attacks. • Identify risks such as model poisoning, data leakage, adversarial inputs, and AI business logic abuse. • Perform threat modeling and architecture reviews for AI-enabled applications. • Develop and enhance AI-focused offensive security tools and testing methodologies. • Research emerging AI attack techniques and assess potential business impact. • Deliver comprehensive penetration testing reports and executive-ready presentations. • Lead engagements end-to-end including scoping, execution, reporting, and remediation validation. • Partner with engineering teams to provide actionable security recommendations. • Collaborate with Red Teams and SOC to continuously improve AI security playbooks. Required Qualifications • 3+ years of hands-on penetration testing experience (web, API, mobile). • Demonstrated experience in AI red teaming, LLM security testing, or adversarial ML. • Proficiency with tools such as Burp Suite Pro, Netsparker, Checkmarx, or similar. • Working knowledge of AI/ML frameworks (TensorFlow, PyTorch, LLM APIs, LangChain). • Strong understanding of OWASP Top 10, API security, and modern attack vectors. • Excellent written and verbal communication skills. • Relevant security certifications (GWAPT, OSWE, OSWA, CREST, etc.) preferred. • Bachelor’s degree in Computer Science, Cybersecurity, or equivalent experience. Preferred Qualifications • Experience testing LLM-based applications, chatbots, copilots, or AI workflows. • Familiarity with MLOps, model deployment security, and cloud AI platforms (AWS, Azure, Google Cloud Platform). • Ability to build custom offensive tools/scripts in Python, Go, or similar languages. • Exposure to SOC operations, detection engineering, or purple team exercises. • Contributions to AI security research, blogs, talks, or open-source projects. What Success Looks Like • AI vulnerabilities identified before production release • Clear demonstration of AI attack paths and business risk • Actionable remediation guidance adopted by engineering teams • Continuous evolution of AI red teaming methodologies • Measurable improvement in AI security postureApply Now

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