Senior Solutions Architect, Generative AI
NVIDIA CorporationMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Architect and deliver end-to-end generative AI solutions focused on Speech AI, Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG) workflows.
Collaborate directly with customers and internal teams to design tailored language AI solutions and support pre-sales technical activities.
Lead workshops and training on LLM training optimization and integrate RAG workflows into customer applications using NVIDIA hardware and software platforms.
Minimum Requirements
Bachelor's (B.Tech), Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
8+ years of hands-on experience in generative AI, specifically training and deploying LLMs and Speech AI models.
Proven expertise in training, fine-tuning, and deploying LLMs using TensorFlow, PyTorch, or Hugging Face, with strong GPU and parallel computing knowledge.
Work Experience Required: 8+ years in generative AI; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in production deployment and optimization of LLM and Speech AI models focusing on inference speed, memory efficiency, and resource utilization.
Strong background in GPU cluster architecture, parallel, distributed computing, and NVIDIA GPU technologies for scalable AI workflows.
Capable of leading technical workshops, collaborating with sales/business teams, and articulating complex AI concepts to varied audiences.