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.

- Strong 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