Key Responsibilities:
Manage AI Security, In-house Red Teaming and AI Bill of Materials (AI BOM) capabilities.
Define security policies, standards, processes, playbooks and governance for AI Security and Red Teaming.
Conduct hands-on security assessments, adversarial testing and red-team exercises.
Assess GenAI/LLM risks, prompt injection, agentic AI, AI/ML security and AI supply-chain risks.
Establish and manage AI BOM inventories covering models, datasets, APIs, libraries and third-party dependencies.
Track vulnerabilities, remediation, retesting and risk acceptance to closure.
Coordinate with SOC, Threat Intelligence, AI/ML, Cloud, Architecture, Risk, Compliance and Audit teams.
Manage security vendors and provide management-level risk reporting.

Requirements:




10+ years of cybersecurity experience with robust exposure to AppSec, Offensive Security, Red Teaming or Security Engineering.
Hands-on experience in AI/ML Security, GenAI/LLM security, adversarial testing and threat modelling.
Solid knowledge of prompt injection, agentic AI, AI supply-chain security and vulnerability validation.
Experience in Red Team exercises, remediation and AI BOM/SBOM governance.
Banking/Financial Services experience preferred.
Bachelors degree in Computer Science, IT, Cybersecurity or related field.

📌 Application Security Mumbai
🏢 SKILLVENTORY
📍 Mumbai