ORB-REC-0082
8 to 10 years of cybersecurity experience, with a strong background in security architecture, cloud security, or platform security. Hands-on experience designing or securing AI/ML or GenAI platforms in an enterprise environment. Strong cloud-native security skills: IAM, network security, secrets management, encryption, and logging. Solid threat modeling, architecture risk assessment, and control mapping experience. Working knowledge of AI-specific risks such as prompt injection, model poisoning, data leakage, and unintended inference. Familiarity with AI governance frameworks, emerging AI regulations, and responsible AI principles. Experience with DLP, CASB, secure APIs, and data-centric security models in AI contexts. Understanding of SOC workflows and how AI signals fit into detection and response. Communication skills strong enough to engage engineers, risk partners, and executives. Preferred Certifications OSCP, CISSP, or CCSP. One cloud security certification (AWS, Azure, or OCI).