The successful candidate works closely with infrastructure engineering, application development, data, and database teams to embed security into how systems are built and operated, and with decision makers to identify, recommend, develop, implement, and support cost-effective security solutions. Secure AI and machine learning workloads alongside the rest of the environment, including model APIs, data pipelines, and the controls around copilot and agent deployments, and monitor for adversarial threats such as prompt injection, data poisoning, and model extraction.