Senior Solutions Architect, Generative AI
NVIDIA Corporation (company site, opens in a new tab)5+ yrsMumbaiOn-siteDirect career pageEst. 40–80 LPA
Posted on 12 Sept
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Job description
Structured overview of role & requirements
About This Role
- Architect and deliver end-to-end generative AI solutions focused on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows.
- Lead training, optimization, and scalable implementation of LLMs using NVIDIA hardware and software platforms.
- Collaborate with customers and internal teams to understand requirements, provide technical leadership, and support pre-sales activities including workshops and demonstrations.
Minimum Requirements
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
- 5+ years of hands-on experience in generative AI with strong emphasis on training and deploying Large Language Models.
- Proven experience deploying and optimizing LLMs for production inference environments using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Strong knowledge of GPU cluster architecture and experience leveraging GPUs for accelerated LLM training and inference.
Ideal Candidate Profile
- Experienced in architecting and delivering complex, scalable AI solutions specifically involving LLMs and RAG workflows.
- Able to engage effectively with customers and cross-functional teams to translate business challenges into technical solutions and lead technical workshops.
- Demonstrated proficiency with GPU-based AI workloads, model optimization, and deployment across cloud and on-premises environments.