AVP - AI Security

We are seeking a proactive and technically strong  VP, Cybersecurity  to lead security assurance for our AI Security products. This individual will ensure that our AI Security offerings — designed to protect customer AI systems — are thoroughly tested, validated, and resilient against real-world threats.
The VP, Cybersecurity will lead red teaming, penetration testing, and adversarial attacks simulation projects to ensure our products defend effectively against attacks on AI/ML systems. The ideal candidate brings hands-on expertise in both  classic infrastructure/mobile security  and  modern AI threat models , with the ability to translate security insights into product and engineering improvements.

Key Responsibilities

• Lead rigorous pre- and post-deployment testing of Company's AI Security products to ensure they effectively prevent, detect and respond to AI-specific attacks (e.g., adversarial inputs, model extraction, prompt injection)

• Design and execute evaluations of our AI protection tools, simulating real-world threat scenarios targeting LLMs, ML pipelines, and AI agentic systems

• Collaborate with product and engineering to continuously improve defenses based on security test results, threat modeling, and vulnerability discovery

• Oversee security validation pipelines across all product lines, with a special focus on security assurance for AI-focused solutions

• Build and scale a security assurance function that includes penetration testing, red teaming, and continuous vulnerability scanning across mobile, cloud, and AI assets

• Ensure the integration of SSDLC practices, including threat modeling and static/dynamic analysis, into the engineering workflow

• Present the security findings to executive leadership, clients, and auditors, with clear risk analysis and actionable recommendations

• Guide a growing team of security analysts and researchers focused on protecting both internal infrastructure and client-facing security capabilities

• Align testing frameworks and documentation with industry standards (e.g., NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10)

• Continuously monitor emerging trends in cybersecurity, AI/ML threats, adversarial techniques, and defense frameworks, proactively incorporating mitigations into product design ensuring Company's products stay ahead of evolving attack vectors

Required Qualifications , Experience & Skills

• Bachelor's or Master's degree in Computer Science, Cybersecurity, Information Security, or a related field; certifications such as CISSP, OSCP, or GIAC are a strong plus

• 8+ years of experience in cybersecurity, including 3+ years in leadership roles involving product or platform security

• Proven expertise in vulnerability assessment, penetration testing, and security assurance across cloud-native and mobile platforms

• Experience conducting or overseeing adversarial evaluations of AI/ML systems, including model-level attacks, prompt injection, and data poisoning

• Familiarity with modern AI architectures (e.g., LLMs, agentic AI frameworks) and their unique security challenges

• Practical knowledge of security testing tools such as Burp Suite, Nessus, Metasploit, OWASP ZAP, and optionally AI-focused tools like IBM ART, Clever Hans, or Privacy Raven

• Deep understanding of SSDLC, secure architecture, and post-deployment hardening practices

• Track record of successfully working with engineering, product, and compliance teams to integrate security into the software lifecycle

• Strong leadership, communication, and stakeholder management skills; experience representing cybersecurity in front of customers, regulators, or exec teams.

Preferred Skills (Nice to have)

• Familiarity with AI-specific security frameworks like NIST AI RMF, ISO/IEC 42001, and OWASP Top 10 for LLMs

• Exposure to security testing of agent-based AI systems and tool-use frameworks (e.g., Lang Chain, Auto Gen, ReAct)

• Understanding of threat intelligence, anomaly detection, and red teaming techniques in AI contexts