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NVIDIA

Senior Solutions Architect, Gen AI

NVIDIA

US, CA, Remote · Remote · full time · Senior

$184,000 – $287,500

Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

NVIDIA seeks a technical expert to guide customers through building and deploying generative AI systems on their GPU-accelerated platforms, working directly with hospitality and travel industry clients to architect solutions, optimize performance, and shape product strategy. This role combines hands-on AI development mentorship with technical leadership, suited for someone who enjoys bridging complex technology and business impact across strategic accounts.

Our summary, not NVIDIA’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience
  • 8+ years of hands-on technical AI experience with emphasis on generative AI
  • Proficiency in LLM model architectures and their computational complexities
  • Production experience deploying and optimizing LLM inference using frameworks like vLLM or TensorRT-LLM
  • Training and fine-tuning LLMs with PyTorch, TensorFlow, or Hugging Face Transformers
  • Understanding of GPU cluster architecture and parallel processing for training and inference
  • Proficiency with Docker, Kubernetes, GitLab, Linux command line, and shell scripting
  • Strong communication skills and ability to explain complex concepts to technical and non-technical audiences
  • Experience leading workshops and presenting technical solutions to diverse audiences

Nice to have

  • Experience with agentic AI frameworks and tools like LangChain, LangGraph, or MCP
  • Knowledge of multimodal LLMs and vision language models
  • Large-scale LLM deployment experience on AWS, Azure, or GCP
  • Track record of profiling and optimizing inference latency, throughput, memory, and I/O
  • Mathematical understanding of parallelization techniques in generative AI

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