Design and govern standards for endpoint, identity, and infrastructure operations (documentation governance, baseline configurations, escalation rules).
Solve complex system challenges: Design reliable workflows and integrations, making informed trade-offs around performance, scalability, data consistency, security, maintainability and cost.
Based on Southeast Asia business scenarios and Agent applications, participate in designing AI business implementation scenarios to help improve business efficiency and solve business pain points.
Proficiency in programming languages commonly used in AI (such as Python, C/C++, or Java) and relevant ML frameworks (for example, TensorFlow, PyTorch, or similar).
Design and evolve architectures that meet stringent requirements for reliability, resilience, scalability and cybersecurity, including safely running user-authored code and high volumes of LLM calls