Senior Solutions Architect, Agentic AI - Public Sector
NVIDIA Corporation (company site, opens in a new tab)10+ yrsGurugramOn-siteDirect career pageEst. 50–90 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About 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.