腾讯专有云（TCE）解决方案架构师
Core
Design and deliver end-to-end cloud and AI infrastructure solutions for enterprise clients, covering business, technical, and data architecture across industries like finance, government, and healthcare.
Role type
Senior Solution Architect (Cloud & AI Infrastructure)
Builds
End-to-end intelligent computing solutions (IaaS/PaaS), container orchestration, training/inference platforms, and AI service gateways for enterprise clients.
Domain
Cloud Computing, AI Infrastructure, Enterprise IT
Deliverable
production ML models
Required skills
Cloud architecture design, AI infrastructure (GPU/NPU, RDMA/RoCE), Kubernetes (K8s), distributed storage, solution documentation, stakeholder management, project delivery, ISV/SI ecosystem collaboration, industry-specific cloud application knowledge.
Preferred skills
Experience with AI model selection and cost optimization, AI/LLM certifications, English fluency for overseas projects, traditional enterprise IT background.
Technologies
Kubernetes, GPU/NPU, RDMA, RoCE, AI Training/Inference Platforms, MaaS, Distributed Storage, Virtualization, Big Data platforms.
Responsibilities
Design cloud and AI architecture for specific industry clients; Lead the deployment of intelligent computing clusters from selection to model launch; Analyze client needs to inform product roadmap; Create and update solution documentation and best practices; Train and mentor other architects on cloud and AI solutions.
Seniority
Senior, hands-on IC
