Deep Learning Solution Architect - Agentic Performance
NVIDIA· Architect, Solutions
Beijing, China, Shanghai, Chinafull-timePosted 1mo ago
About the role
Solution Architect focused on training LLMs, RAG workflows, and agentic inference using NVIDIA’s software/hardware ecosystem to deliver production-grade generative AI solutions for enterprise customers.
Responsibilities
- Architect end-to-end solutions focused on LLM pretraining, fine-tuning, high-performance inference, RAG workflows, and agentic inference orchestration using NVIDIA’s hardware and software platforms.
- Collaborate with customers to understand their LLM-related business challenges and design tailored solutions aligned with the NVIDIA ecosystem.
- Lead LLM training, distributed optimization, and performance tuning to achieve optimal throughput, latency, and memory efficiency.
- Design and integrate RAG workflows and agentic inference pipelines into customer systems; provide technical guidance on best practices.
- Collaborate with NVIDIA engineering teams to provide feedback and support pre-sales technical activities (workshops, demos).
Qualifications
- Master’s / Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
- 4+ years hands-on experience in AI, focusing on open-source LLM training, fine-tuning, and production inference optimization.
- Deep understanding of mainstream LLM architectures and proficiency in LLM customization via PyTorch, Hugging Face Transformers.
- Solid knowledge of GPU computing, cluster architecture, and distributed parallel training/inference for LLMs.
- Competency in agentic inference design and using AI agents to solve business challenges.
- Strong communication skills, able to articulate complex technical concepts to technical and non-technical stakeholders.
Skills
Required:LLM trainingRAG workflowsAgentic inferenceGPU computingCommunication
Benefits
- competitive salaries
- generous benefits package
Last updated Aug 28, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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