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 Agentic AI .

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 LLMs, and a strong proficiency in designing and implementing agentic and RAG-based workflows.

What you will be doing:

• Architect end-to-end generative AI solutions with a focus on LLMs, Agentic 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 technologies.
• Engage directly with customers to understand their language-related requirements and challenges.
• Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows and l ead 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 s tay 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.

What we need to see:

• B.Tech ,Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience
• 10+ years of hands-on experience in a technical role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs).
• Proven track record of successfully deploying and optimizing LLM models for inference in production environments.