AI Security Specialist / AI Security Lead

Location: Mumbai / Gurgaon (Hybrid)
Experience: 7 to 12 Years
Compensation: 40 to 50 LPA + Performance Bonus

About the Role

We're looking for an experienced AI Security Specialist / AI Security Lead to establish and lead our enterprise AI Security program. You'll secure Large Language Models (LLMs), Generative AI applications, AI Agents, RAG architectures, and enterprise AI platforms while defining security standards for next-generation AI products.

This is an opportunity to work at the intersection of Cyber Security, Artificial Intelligence, Cloud Security, and AI Governance, helping shape how secure AI systems are built and deployed at scale.

Key Responsibilities
Define and implement enterprise AI Security Strategy and Governance.
Secure LLM applications, AI Agents, RAG pipelines, and AI platforms.
Conduct AI Threat Modeling, AI Red Teaming, and Security Assessments.
Identify and mitigate Prompt Injection, Jailbreaks, Model Poisoning, Adversarial ML, Model Theft, and AI Supply Chain risks.
Establish Secure AI Development Lifecycle (SAI-SDLC) practices.
Implement AI Guardrails, DLP, Model Access Controls, Secrets Management, and AI Monitoring.
Build AI Security Detection and Incident Response capabilities.




Evaluate third-party AI platforms including ChatGPT Enterprise, Microsoft Copilot, Claude, and Gemini.
Collaborate with engineering, cloud, and security teams to deliver secure AI solutions.

Required Skills
AI Security
Cyber Security
Large Language Models (LLMs)
Generative AI
AI Agents
RAG Security
Prompt Injection Testing
AI Red Teaming
Adversarial Machine Learning
AI Governance
Python
LangChain
LangGraph
Docker
Kubernetes
AWS / Azure / GCP
SIEM
Cloud Security

Preferred Skills
NVIDIA NeMo Guardrails
Lakera AI
HiddenLayer
Protect AI
Promptfoo
Garak
PyRIT
OWASP GenAI Security
NIST AI RMF
ISO 42001
CISSP / CCSP / OSCP / CAISP

Why Join Us?
Build and lead enterprise AI Security from the ground up.
Work on cutting-edge AI, LLM, and Agentic AI platforms.
Solve complex security challenges in production AI systems.
Collaborate with top engineering and security teams.
Hybrid work environment with high ownership and leadership prospects.
Competitive compensation and rapid career growth.

Compensation & Advantages
40 to 50 LPA (Based on Experience & Expertise)
Performance Bonus
Hybrid Work Model
Leadership Prospect
Learning & Certification Support

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