Senior Solutions Architect, Gen AI

at Nvidia
📍 United States
📍 New York City, United States
USD 184,000-356,500 per year
SENIOR
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 4 Kubernetes @ 4 Linux @ 4 DevOps @ 4 GCP @ 4 TensorFlow @ 4 AWS @ 4 Azure @ 4 Communication @ 4 LLM @ 4 PyTorch @ 4 GPU @ 4

Details

NVIDIA is building the world’s leading AI company, and we are looking for a Solutions Architect skilled in full cycle Gen AI development and deployment to assist customers with adoption of NVIDIA's full-stack technologies as well as building and deploying solutions around Generative AI and other related GPU-accelerated technologies in which intelligent agents can learn, reason, and interact with the world. As part of the Hospitality and Travel Solutions Architecture team, we work with some of key hotel and transportation chains to integrate accelerated computing and AI into their stacks. A Solutions Architect is the first line of technical expertise between NVIDIA and our Auto customers so you will engage directly with developers, researchers, and data scientists with some of the most strategic customers as well as work directly with business and engineering teams on product strategy as it pertains to these customers.

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 the benefits of our accelerated computing software and hardware.
  • Build demonstrations and POCs for solutions that address critical business needs of our customers. Help in drafting 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, sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and POC 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 Gen AI.
  • Proficient in latest model architectures and able to articulate computational complexities.
  • Proven track record of deploying and optimizing LLM models for production inference using engines such as vLLM, TRT-LLM, SGLang.
  • Expertise in training and fine-tuning LLMs using TensorFlow, PyTorch, or Hugging Face Transformers.
  • Solid understanding of GPU cluster architecture for accelerated model training and inference.
  • Experience with DevOps tools like Docker, Kubernetes, GitLab, Linux Command Line, Shell.
  • Excellent communication and teamwork skills to explain complex concepts to technical and non-technical collaborators.
  • Experience leading workshops, training sessions, and technical presentations.

Ways To Stand Out

  • Experience with Agentic AI frameworks and protocols such as LangChain, LangGraph, MCP.
  • Understanding of Multimodal LLMs and VLMs.
  • Experience deploying LLM models at scale on cloud providers (AWS, Azure, GCP).
  • Proven ability to profile and optimize inference latency, throughput, memory, and I/O utilization.
  • Mathematical understanding of parallelisation techniques in Gen AI.

Benefits

  • Base salary range is $184,000 - $356,500 USD, depending on location, experience, and peer pay.
  • Eligible for equity and benefits.
  • NVIDIA values diversity and is an equal opportunity employer.