Security Engineering & Agentic Automation

• Engineer and architect scalable security solutions for cloud-native environments to protect customer data, applications, and networks

• Develop autonomous security agents and workflows using LLMs and agentic frameworks to automate complex tasks such as event monitoring and triage, threat modeling, vulnerability discovery and remediation

• Design and build automated identity and access management (IAM), data encryption, and threat detection capabilities that function without manual intervention

AI Security Architecture & Integrity

• Create technical baselines and security controls for AI-driven products, ensuring data model integrity and the security of training pipelines

• Build defenses against emerging AI-specific threats, such as prompt injection, model inversion, and data leakage, within both customer-facing and internal AI initiatives

• Conduct deep-dive technical reviews of AI architectures to ensure security is embedded into the foundation of every new model and automation project

   

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