Senior Solutions Architect, Agentic AI - Public Sector
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 focusing on Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG) workflows.
Lead customer engagements including workshops, design sessions, and pre-sales technical presentations to address language-related business challenges.
Collaborate with NVIDIA engineering and public sector clients to train, optimize, and deploy LLMs using NVIDIA's hardware and software, including GPU cluster architectures.
Minimum Requirements
B.Tech, Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
10+ years of hands-on technical experience in generative AI with strong emphasis on training and deploying Large Language Models (LLMs).
Proven expertise in LLM training and fine-tuning using frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.
Not explicitly mentioned in the JD: Notice period or strict location requirements.
Ideal Candidate Profile
Demonstrated ability to optimize LLM models for inference speed, memory efficiency, and multi-GPU deployment at scale.
Experience collaborating with government, research, and public sector organizations on advanced AI solutions.
Skilled in leveraging GPU cluster architectures and container orchestration (e.g., Docker, Kubernetes) for scalable AI training and deployment workflows.