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 across multiple industries, covering IaaS/PaaS architecture, intelligent computing clusters, and large model deployment.
Role type
Senior Solution Architect (Cloud & AI Infrastructure)
Builds
End-to-end intelligent computing solutions (IaaS → K8s → Training/Inference Platform → AI Gateway), cloud architecture designs, and AI application roadmaps.
Domain
Cloud Computing, Artificial Intelligence, Large Language Models, Enterprise IT
Deliverable
production ML models
Required skills
Cloud architecture design, AI infrastructure (GPU/NPU, RDMA/RoCE), Kubernetes orchestration, distributed storage, industry-specific solution design, technical documentation, stakeholder management, project delivery, ISV/SI ecosystem collaboration.
Preferred skills
Experience with AI training/inference platforms, MaaS, token cost optimization, cross-border project support, cloud certifications.
Technologies
Kubernetes, GPU/NPU, RDMA, RoCE, Distributed Storage, AI Training/Inference Platforms, MaaS, Large Language Models.
Responsibilities
Design comprehensive cloud and AI architectures for industry clients; Lead the end-to-end delivery of intelligent computing clusters from selection to model deployment; Analyze client needs to drive product roadmap improvements; Create and maintain solution documentation and best practice libraries; Train and mentor other architects on cloud and AI solutions.
Seniority
Senior, hands-on IC
