The AI Security Architect will play a pivotal role in designing and implementing secure AI/ML architectures for a next-generation platform development. This position bridges artificial intelligence engineering and cybersecurity architecture, ensuring that all AI-driven models, data pipelines, and automation frameworks are resilient, explainable, and secure by design.

The architect will work closely with data scientists, platform engineers, CTI analysts, and DevSecOps teams to define end-to-end AI security standards — covering areas such as model lifecycle security, data protection, adversarial defense, and ethical AI governance. The goal is to embed trust, compliance, and robustness within every AI-powered component of the platform.

1. AI Security Architecture Design

• Define and implement a secure AI/ML architecture framework across platform components.
• Architect end-to-end MLOps pipelines that ensure data integrity...