Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance.
Perform lifecycle for our different CI/CD tools (running on different platforms such as Microsoft Azure, Kubernetes or Virtual Machines on premise) to ensure security, availability, and maintainability of the platforms
Build production features for products such as procurement automation, teacher-facing AI tools, learning assistants, and evaluation/monitoring platforms.
Process Optimization: Proactively identifies and implements improvements to team workflows and engineering processes to enhance overall efficiency and delivery.