Project Role : Security Architect
Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations.
Must have skills : Product Security
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: AI Red Teaming Expert – Adversarial ML, Threat Simulation, and AI Security Strategy We are seeking a highly experienced and visionary AI Red Teaming Expert 12+ years of experience across cybersecurity and machine learning. This role is ideal for professionals who thrive in dynamic environments and possess a passion for securing cutting-edge AI/ML systems. You will lead red teaming operations, simulate adversarial threats, and guide the organization’s AI security posture at strategic and technical levels. The ideal candidate demonstrates deep technical expertise, exceptional leadership, and a keen understanding of adversarial machine learning and risk mitigation frameworks. Roles & Responsibilities: • Define and execute the AI red teaming strategy across the organization. • Simulate realistic and advanced adversarial attacks against AI/ML systems aligned with business contexts. • Review AI/ML system architecture to identify security gaps and advocate for secure design patterns. • Establish internal standards and workflows for AI threat modeling, risk assessment, and adversarial testing. • Stay ahead of evolving adversarial ML threats and guide the development of defensive strategies. • Contribute to secure development practices for model deployment pipelines and lifecycle management. • Lead and mentor a specialized team of AI security analysts and red teamers. • Represent AI security strategy in executive forums and drive cross-functional alignment. • Collaborate with engineering, data science, compliance, and legal stakeholders to integrate security into AI innovation cycles. • Drive internal policy-making efforts around responsible and secure AI development practices. • Own and lead remediation initiatives, translating findings into actionable improvements across teams. Professional & Technical Skills: • Exceptional communication and leadership skills with the ability to convey technical issues to non-technical stakeholders. • Proven experience managing high-impact security initiatives and leading diverse teams. • Strategic thinker capable of aligning AI security objectives with business goals. • Passionate about AI safety, responsible innovation, and emerging threat landscapes. • Strong analytical and problem-solving skills in high-pressure environments. • Hands-on expertise in red teaming AI/ML systems at scale. • Strong understanding of adversarial ML techniques, threat simulation tools, and AI model manipulation tactics. • Experience implementing and aligning with frameworks such as OWASP Top 10 for LLMs, ISO 42001, NIST AI RMF. • Proficiency in AI/ML pipeline security, model risk evaluation, and secure MLOps practices. • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their associated vulnerabilities. • Demonstrated ability to design, execute, and scale red teaming programs in AI-native environments. - Additional Information: Bachelor’s or Master’s degree in Computer Science, Information Security, Machine Learning, or related field. Recognized certifications such as CEH, OSCP, CISSP, or credentials specific to AI security (e.g., MITRE ATLAS experience) are a plus. - 12+ years of experience spanning cybersecurity, AI/ML, and adversarial testing - This position is based at our Bengaluru office - A 15 years full time education is required.

15 years full time education

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