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Senior Solutions Architect, Generative AI

NVIDIA· Architect, Solutions
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Gurugram, Indiafull-timePosted 1mo ago

About the role

Senior-level Solutions Architect focused on Generative AI, with specialization in training LLMs and Agentic AI, responsible for architecting end-to-end generative AI solutions (LLMs, Agentic, RAG), guiding pre-sales, collaborating with customers and NVIDIA engineering, and leading training/optimization of LLMs on NVIDIA hardware.

Responsibilities

  • Architect end-to-end generative AI solutions with a focus on LLMs, Agentic and RAG workflows.
  • Collaborate with customers to understand language-related business challenges and design tailored solutions.
  • Support pre-sales activities, including technical presentations and demonstrations of LLM and RAG capabilities.
  • Work with NVIDIA engineering teams to provide feedback and contribute to technology evolution.
  • 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; lead training and optimization of LLMs 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.
  • Integrate RAG workflows into customer applications and systems; stay updated on developments in language models and generative AI technologies.
  • Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions.

Qualifications

  • 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 emphasis on training LLMs
  • Proven track record of deploying and optimizing LLM models for inference in production environments
  • In-depth understanding of state-of-the-art language models (e.g., GPT-3, BERT)
  • Expertise in training and fine-tuning LLMs using TensorFlow, PyTorch, or Hugging Face Transformers
  • Proficiency in model deployment and optimization techniques for efficient inference on GPUs
  • Strong knowledge of GPU cluster architecture and parallel processing for accelerated training/inference
  • Excellent communication and collaboration skills to explain complex concepts to diverse audiences
  • Experience leading workshops, training sessions, and presenting technical solutions

Skills

Required:Generative AI architectureLarge Language Models (LLMs)RAG workflows
Nice to have:Agentic AI

Benefits

  • Competitive salaries
  • Generous benefits package
  • Opportunities to work with cutting-edge NVIDIA technologies
  • Diversity and inclusive workplace
  • Career growth within a rapidly expanding engineering team
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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