Description

You will secure AI/ML and Generative AI architectures, including RAG, vector databases, model endpoints, and agents.

This role is on-site.

Responsibilities

• Secure cloud-native applications and APIs within AWS, Azure, or GCP.
• Apply application security, API security, threat modeling, and secure SDLC practices.
• Mitigate AI security risks such as prompt injection, data leakage, model theft, and model poisoning.
• Implement IAM, encryption, secrets management, logging, and monitoring controls.

Required Skills

• 8+ years of experience in Security Architecture or Security Engineering.
• Strong understanding of AI/ML and Generative AI architectures (RAG, vector databases, model endpoints, AI agents).
• Experience securing cloud-native applications and APIs in AWS, Azure, or GCP.
• Background in application security, API security, threat modeling, and secure SDLC.
• Experience mitigating AI security risks including prompt injection, data leakage, model theft, and model poisoning.
• Proficiency with IAM, encryption, secrets management, logging, and monitoring controls.
• Strong communication and stakeholder management skills.

Preferred Skills

• Experience with enterprise GenAI platforms.
• Experience with AI governance or regulated environments.

Key Skills

Education

Any Graduate