← All roles

Senior Solutions Architect, Gen AI

NVIDIA· Architect, Solutions
Apply on company site
Hybrid (Remote)$184k - $287.5kFull-timePosted 4mo ago

About the role

Solutions Architect focused on Gen AI development and deployment to help customers adopt NVIDIA’s full-stack technologies and build AI-enabled solutions. Part of the Hospitality and Travel Solutions Architecture team, engaging with developers, researchers, and data scientists at strategic customers and collaborating with business and engineering teams on product strategy.

Responsibilities

  • Provide hands-on technical mentorship to partners and customers on Nvidia GenAI stack. Guide customers to develop and deploy Agentic AI workflows on our platforms, quantifying benefits of accelerated computing software/hardware.
  • Build demonstrations and POCs for solutions addressing critical business needs; draft requirements for missing features to unblock progress at customers/partners.
  • Educate customers on new NVIDIA GenAI technologies and platforms; prepare and deliver technical training presentations and workshops.
  • Build collateral (notebooks/blogs) applied to industry use-cases.
  • Partner with NVIDIA engineering, product, and sales teams to secure design wins at customers; enable development and growth of NVIDIA product features through customer feedback and POC evaluations.

Qualifications

  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
  • 8+ years of hands-on experience in a technical AI role, with emphasis on Gen AI.
  • Proficient in latest model architectures and able to articulate computational complexities.
  • Proven track record of deploying and optimizing LLM models for inference in production environments using engines such as vLLM, TRT-LLM, SGLang, etc.
  • Expertise in training and fine-tuning LLMs using TensorFlow, PyTorch, or Hugging Face Transformers.
  • Solid understanding of GPU cluster architecture and parallel processing for accelerated training and inference.
  • Experience with basic DevOps tools (Docker, Kubernetes, GitLab, Linux CLI, Shell, etc.).
  • Excellent communication and teamwork skills; ability to explain complex concepts to technical and non-technical audiences.
  • Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.

Skills

Required:GenAI stack expertiseLLM deploymentModel training and fine-tuningGPU cluster architectureDevOps tools

Benefits

  • Equity
  • Benefits (referenced in posting)
Last updated Oct 23, 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.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA