Nvidia Senior Solutions Architect Gen AI 

United States, Texas 

418784226

What You Will Be Doing:

• Provide hands-on technical mentorship to partners and customers on Nvidia GenAI stack. Guide customers to develope 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 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 (notebook/ blog) applied to the 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.

What We Need To See:

• 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 the latest and greatest model architectures and be able to articulate the computational complexities of each.

• Proven track record of deploying and optimizing LLM models for inference in production environments using well known inferencing engines e.g., vLLM, TRT-LLM, SGLang, etc.

• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.

• Solid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference.

• Experience with basic DevOps tools e.g., Docker, Kubernetes, GitLab, Linux Command Line, Shell, etc.

• Excellent communication and teamwork skills with the ability to explain complex technical concepts to both technical and non-technical collaborators.

• Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.

Ways To Stand Out From The Crowd:

• Experience with Agentic AI frameworks, tools, and protocols e.g., LangChain, LangGraph, MCP.

• Understand Multimodal LLMs, VLMs, etc.

• Experience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP).

• Proven track record to profile and optimize inference latency and throughput, memory and I/O utilization.

• Mathematical understanding of different parallelisation techniques in Gen AI