AVP - AI Security

Antal TECH jobs; Mumbai; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A leading tech firm is looking for a VP of Cybersecurity to oversee security assurance for their AI Security products. The role demands extensive experience in cybersecurity, with a focus on conducting adversarial evaluations and leading penetration testing initiatives. The ideal candidate will have a strong educational background and hands-on expertise in infrastructure security and AI threat models. This full-time position is based in Mumbai, India.

Qualifications

• 8+ years of experience in cybersecurity, including 3+ years in leadership roles.
• Experience in vulnerability assessment and penetration testing across platforms.
• Practical knowledge of security testing tools.

Responsibilities

• Lead pre- and post-deployment testing for AI Security products.
• Design evaluations of AI protection tools simulating threat scenarios.
• Collaborate with teams to improve security based on testing results.

Skills

Hands-on expertise in classic infrastructure/mobile security

Expertise in modern AI threat models

Vulnerability assessment

Penetration testing

Security assurance

Leadership

Communication skills

Stakeholder management

Education

Bachelor's or Master's degree in Computer Science or Cybersecurity

Tools

Burp Suite

Nessus

Metasploit

OWASP ZAP

IBM ART

CleverHans

PrivacyRaven

Job description

Join to apply for the AVP - AI Security role at Antal TECH jobs.

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, CleverHans, or PrivacyRaven.
• 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 executive 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., LangChain, AutoGen, ReAct).
• Understanding of threat intelligence, anomaly detection, and red teaming techniques in AI contexts.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Software Development