About this role
NVIDIA is seeking a Senior Solutions Architect to join their AI Solutions team, focusing on architecting and delivering generative AI solutions with a specialization in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows. The role involves working directly with customers to address business challenges, supporting pre-sales activities, and collaborating with engineering teams to evolve NVIDIA's AI technologies. Responsibilities include leading design workshops, training and optimizing LLMs on NVIDIA hardware, and integrating RAG workflows into customer systems. Required Qualifications: Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent; 5+ years of hands-on experience in generative AI with a focus on training LLMs; proven track record in deploying and optimizing LLM models for production; in-depth knowledge of architectures like GPT-3 and BERT; expertise in TensorFlow, PyTorch, or Hugging Face; proficiency in GPU-based model deployment and optimization; and strong knowledge of GPU cluster architecture and parallel processing. Preferred Qualifications: Experience with cloud environments (AWS, Azure, GCP) and on-premises infrastructure; familiarity with Docker and Kubernetes; and hands-on experience with NVIDIA GPU technologies and cluster management.