Senior Solutions Architect, Gen AI

NVIDIA • US, CA, Remote, CA

9d • $184,000 - $287,500

About The Position

NVIDIA is seeking a Solutions Architect skilled in full-cycle Generative AI development and deployment to help customers adopt NVIDIA’s full-stack technologies and build and deploy solutions around Generative AI and related GPU-accelerated technologies. The role is part of the Hospitality and Travel Solutions Architecture team, which works with hotel and transportation chains to integrate accelerated computing and AI into their technology stacks. The architect engages directly with developers, researchers, and data scientists at strategic customers, and collaborates with business and engineering teams on product strategy related to those customers.

The position provides hands-on technical mentorship on NVIDIA’s GenAI stack, guides customers in developing and deploying Agentic AI workflows, and demonstrates the benefits of accelerated computing software and hardware. It also involves building demonstrations and proofs of concept, helping define requirements for missing features, educating customers through training and workshops, creating industry-use-case collateral, and partnering with NVIDIA engineering, product, and sales teams to secure design wins and improve product features through customer feedback and evaluations.

Requirements

• 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 a strong emphasis on Generative AI.
• Proficiency in current model architectures and the ability to explain their computational complexities.
• Proven experience deploying and optimizing LLMs for inference in production using inference engines such as vLLM, TRT-LLM, or SGLang.
• Expertise training and fine-tuning LLMs with frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Solid understanding of GPU cluster architecture and parallel processing for accelerated model training and inference.
• Experience with basic DevOps tools such as Docker, Kubernetes, GitLab, Linux command line, and Shell.
• Excellent communication and teamwork skills, including explaining complex technical concepts to technical and non-technical collaborators.
• Experience leading workshops and training sessions and presenting technical solutions to diverse audiences.

Nice To Haves

• Experience with Agentic AI frameworks, tools, and protocols such as LangChain, LangGraph, and MCP.
• Understanding of multimodal LLMs and VLMs.
• Experience deploying LLMs at scale on mainstream cloud providers such as AWS, Azure, or GCP.
• Proven ability to profile and optimize inference latency and throughput, memory utilization, and I/O utilization.
• Mathematical understanding of different parallelization techniques in Generative AI.

Responsibilities

• Provide hands-on technical mentorship to partners and customers on NVIDIA’s GenAI stack.
• Guide customers in developing and deploying Agentic AI workflows on NVIDIA platforms and quantify the benefits of accelerated computing software and hardware.
• Build demonstrations and proofs of concept that address customers’ critical business needs.
• Help draft requirements for missing features needed to unblock customer and partner progress.
• Educate customers on NVIDIA GenAI technologies and platforms; prepare and deliver technical training presentations and workshops.
• Create applied industry-use-case collateral, such as notebooks and blogs.
• Partner with NVIDIA engineering, product, and sales teams to secure customer design wins.
• Support the development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior