NVIDIA is seeking a energetic and experienced Generative AI Solution Architect with deep expertise in training Large Language Models (LLMs) and building Retrieval-Augmented Generation (RAG) workflows. As a key member of our AI Solutions team, you'll drive innovation and impact in real-world deployments of cutting-edge generative AI technology.
What You Will Be Doing
- Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows.
- Collaborate with customers to understand business problems and translate them into tailored LLM-based solutions.
- Design and lead workshops and technical sessions to define, optimize, and deploy RAG-based and LLM-powered systems.
- Train and fine-tune state-of-the-art LLMs on NVIDIA platforms, optimizing for performance, cost, and efficiency.
- Deploy and integrate LLMs and RAG workflows in cloud and on-premise environments, enabling real-world applications.
- Work closely with NVIDIA engineering and product teams, influencing the evolution of generative AI tools and technologies.
- Build and share best practices for model training,



deployment, and performance optimization using NVIDIA GPUs and AI platforms.

What We Need To See
- Master's or Ph.D. in Computer Science, AI, or a related field
- 5+ years of hands-on experience with LLM training, deployment, and production optimization
- Deep understanding of language models like GPT-3, BERT, and experience with RAG
- Proficient in PyTorch, TensorFlow, and Hugging Face Transformers
- Familiar with GPU acceleration, distributed computing, and inference tuning on NVIDIA hardware
- Experience presenting to clients and leading cross-functional collaboration
- Strong communication skills—able to clearly explain technical details to diverse audiences

Ways To Stand Out From The Crowd
- Experience deploying LLMs in cloud (AWS, Azure, GCP) and on-prem clusters
- Proficiency with Docker, Kubernetes, and GPU cluster management
- Proven ability to optimize LLM inference for speed,

📌 Senior Solutions Architect, Generative AI (Bengaluru)
🏢 NVIDIA
📍 Bengaluru