Director, Agentic Cloud Platform

DUTIES & RESPONSIBILITIES A. Cloud Architecture, Cloud Operations Management & AI Enablement   • Own the target architecture and technology roadmap for China cloud platforms across Alibaba Cloud and AWS, translating global enterprise architecture, technology standards, and security policies into China-ready architectures that meet local regulatory and operational requirements.  • Define and manage the cloud landing zone, including account structures, network connectivity, identity and access management, security baselines, observability, and infrastructure automation, and establish reusable reference architectures, design patterns, and technical guardrails.  • Define cloud operations standards and governance covering monitoring, incident, problem, and change management, backup and recovery, vulnerability remediation, capacity management, service continuity, and regular service health and operational risk reviews.  • Partner with security and compliance teams to translate policies, control frameworks, and risk requirements into practical architecture standards, technical designs, operational procedures, and audit evidence.  • Lead the roadmap for AI-enabled cloud governance and operations, prioritizing high-value use cases (e.g., automated incident analysis, configuration validation, compliance checks, cost optimization, and self-healing), promoting Infrastructure as Code, policy as code, and AI-assisted engineering, and tracking measurable outcomes such as automation coverage and reduction of manual effort.  B. MaaS Solution Engineering & Operations Management   • Own the architecture, solution engineering, and operational roadmap for enterprise MaaS capabilities, including model access, integration, serving, inference, routing, AI engines, and shared AI services, translating business, application, and compliance requirements into standardized, scalable, and secure solutions.  • Design and engineer reusable MaaS solution patterns and model-serving capabilities across Alibaba Cloud, AWS, and local infrastructure, covering model onboarding and evaluation, API integration, authentication and authorization, traffic and quota management, usage metering, and monitoring, while balancing performance, GPU availability, data residency, and cost.  • Manage the end-to-end MaaS service lifecycle, from demand assessment and solution design through production readiness, operations, version upgrades, and retirement, with defined service levels, capacity requirements, support procedures, and escalation paths.  • Enable application teams with standardized model and agent services through reusable APIs, templates, self-service capabilities, documentation, and runbooks, embedding security and data protection controls such as model access controls, sensitive data handling, agent permissions, and auditability.  • Lead MaaS incident and problem management, and drive continuous optimization of performance, capacity, model selection, token consumption, and cost (FinOps), while evaluating emerging AI technologies to inform platform evolution and investment decisions.  C. Cloud-Native Solutions, Platform Engineering & Operations Management   • Provide cloud architecture, cloud-native solution design, and platform services for web applications, data and BI platforms, AI workloads, integration services, and shared technology capabilities across Alibaba Cloud and AWS.  • Establish engineering standards, reusable platform components, blueprints, and deployment templates for infrastructure provisioning, configuration management, deployment automation, observability, backup, and disaster recovery.  • Define and manage the operational lifecycle of cloud-native platforms, including reliability, availability, performance, and capacity requirements, pr