Description

You will design and implement security architectures for AI/ML and Generative AI systems, including RAG, vector databases, model endpoints, and agents.

This role is on-site.

Responsibilities

• Secure cloud-native applications and APIs across AWS, Azure, or GCP.
• Mitigate AI-specific risks such as prompt injection, data leakage, model theft, and model poisoning.
• Apply application security, API security, threat modeling, and secure SDLC practices.
• Implement IAM, encryption, secrets management, logging, and monitoring controls.
• Manage stakeholder communication and align security strategies with business goals.

Required Skills

• 8+ years of experience in Security Architecture or Security Engineering.
• Strong understanding of AI/ML and Generative AI architectures.
• Experience securing cloud environments (AWS, Azure, or GCP).
• Proficiency in application security, API security, and threat modeling.
• Knowledge of secure SDLC practices.
• Experience with IAM, encryption, secrets management, and monitoring.
• Ability to mitigate AI security risks effectively.

Preferred Skills

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

Key Skills

Education

Any Graduate