AVP /Senior Manager Technical Lead AI Security with a Private Bank

Role Overview

Bank is hiring a Technical Lead AI Security to join our CISO team in Mumbai. This is a critical, hands-on role ensuring the trustworthiness, resilience, and compliance of AI/ML systems, including large language models (LLMs). You will work at the intersection of cybersecurity and AI, shaping secure testing, understanding secure MLOps/LLMOps workflows, and leading technical implementation of defenses against emerging AI threats. This role requires both strategic vision and strong engineering depth.

Key Responsibilities

• Lead and operationalize the AI/ML and LLM security roadmap across training, validation, deployment, and runtime to enable AI Security Platform Approach.
• Design and implement defenses against threats like adversarial attacks, data poisoning, model inversion, prompt injection, and fine-tuning exploits using industry leading open source and commercial tools.
• Build hardened workflows for model security, integrity verification, and auditability in production AI environments.
• Leverage AI security tools for scanning, fuzzing, and penetration testing models.
• Apply best practices from OWASP Top 10 for ML/LLMs, MITRE ATLAS, NIST AI RMF, and ISO/IEC 42001 to test AI/ML assets.
• Ensure AI model security testing framework aligns with internal policy, national regulatory requirements, and global best practices.
• Plan and execute security tests for AI/LLM systems, including jailbreaking, RAG hardening, and bias/toxicity validation.

Required Skills & Experience

• 8+ years in cybersecurity, with at least 3+ years hands-on in AI/ML security or secure MLOps/LLMOps
• Proficient in Python, TensorFlow/PyTorch, HuggingFace, LangChain, and common data science libraries
• Deep understanding of adversarial ML/LLM, model evaluation under threat conditions, and inference/training-time attack vectors
• Experience securing cloud-based AI workloads (AWS, Azure, or GCP)
• Familiarity with secure DevOps and CI/CD practices
• Strong understanding of AI-specific threat models (MITRE ATLAS) and security benchmarks (OWASP Top 10 for ML/LLMs)
• Ability to communicate technical risk clearly to non-technical stakeholders
• Ability to guide developers and data scientists to solve the AI Security risks.
• Certifications: CISSP, OSCP, GCP ML Security, or relevant AI/ML certificates
• Experience with AI security tools or platforms (e.g., model registries, lineage tracking, policy enforcement)
• Experience with RAG, LLM-based agents, or agentic workflows
• Experience in regulated sectors (finance, public sector)