Senior Solutions Architect - Generative AI

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training Large Language Models (LLMs) and implementing workflows based on Pretraining, Finetuning LLMs & Retrieval-Augmented Generation (RAG).

As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIA's generative AI technologies.

This position requires a deep understanding of language models, particularly open source LLMs, and a strong proficiency in designing and implementing RAG-based workflows.

What You Will Be Doing:

• Architect end-to-end generative AI solutions with a focus on LLMs training , deployment and RAG workflows.
• Collaborate closely with customers to understand their language-related business challenges and design tailored solutions.
• Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of LLM and RAG capabilities.
• Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI software.
• Engage directly with customers/partners to understand their requirements and challenges.
• Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows and lead the training and optimization of Large Language Models using NVIDIA’s hardware and software platforms.
• Implement strategies for efficient and effective training of LLMs to achieve optimal performance.
• Design and implement RAG-based workflows to enhance content generation and information retrieval.
• Work closely with customers to integrate RAG workflows into their applications and systems and stay abreast of the latest developments in language models and generative AI technologies.
• Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience