This role focuses on assessing AI systems for risks and impacts, recommending mitigations and guardrails, and testing/evaluating AI models, agents, and systems for performance, safety, security, and explainability. It involves developing and implementing policy processes and staying updated on AI developments and regulations within the healthcare domain.

This role focuses on designing, implementing, and optimizing enterprise observability solutions using AIOps, modern observability practices, and large-scale monitoring platforms. The goal is to improve system reliability, operational intelligence, and incident response by leveraging metrics, logs, traces, and event correlation, with a specific emphasis on anomaly detection, event correlation, and predictive alerting to reduce alert noise and improve signal quality.