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Deep Learning Solution Architect

NVIDIA· Architect, Solutions
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Beijing, ShanghaiOn-sitePosted 6mo ago

About the role

Solution Architect role focused on training LLMs, implementing RAG workflows, and agentic inference using NVIDIA’s software/hardware ecosystem to design and 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 trainingFine-tuningRocketing RAG workflowsAgentic inferencePyTorchHugging Face TransformersGPU computing
Nice to have:DockerKubernetes
Last updated Jul 3, 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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