NVIDIA is seeking a seasoned Generative AI Solution Architect with specialized expertise in Speech AI, Large Language Models (LLMs), and Agentic AI. This pivotal role involves architecting and delivering advanced solutions powered by NVIDIA's generative AI technologies, demanding a deep understanding of LLMs and proficiency in designing and implementing agentic and RAG-based workflows. You will be instrumental in shaping the future of AI solutions at NVIDIA.

As a key member of our AI Solutions team, you will architect cutting-edge solutions that harness the power of NVIDIA's generative AI platforms. This position requires a profound grasp of language models, particularly LLMs, and a strong capability in designing and implementing agentic and RAG-based workflows, driving innovation in the field.

Architect end-to-end generative AI solutions with a focus on Speech AI, LLMs, Agentic, and RAG workflows. Collaborate closely with customers to understand their language-related business challenges and design tailored solutions.

Support pre-sales activities by collaborating with sales and business development teams, including delivering technical presentations and demonstrations of speech AI, LLM, and RAG capabilities. Provide valuable feedback to NVIDIA engineering teams, contributing to the evolution of generative AI technologies.

Engage directly with customers to grasp their language-related requirements and challenges. Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows. Train and optimize Large Language Models using NVIDIA’s hardware and software platforms, and implement strategies for efficient LLM training.

Design and implement RAG-based workflows to enhance content generation and information retrieval, working closely with customers to integrate these workflows into their applications and systems. Stay abreast of the latest developments in language models and generative AI technologies, providing technical leadership and guidance on best practices.

A B.Tech, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience is required. We are looking for at least 8 years of hands-on technical experience, with a strong focus on generative AI and training Large Language Models (LLMs) and Speech AI models.

A proven track record of successfully deploying and optimizing LLM and Speech AI models for production inference is essential. You must possess an in-depth understanding of state-of-the-art language models, such as GPT-3 or BERT, and expertise in training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.

Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, especially GPUs, is crucial. Strong knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference are expected. Excellent communication and collaboration skills are vital for articulating complex technical concepts to diverse audiences, including experience leading workshops and technical presentations.