Senior Solutions Architect, Agentic AI - Public Sector
NVIDIA Corporation (company site, opens in a new tab)10+ yrsGurugramOn-siteDirect career pageEst. 60–95 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 training and optimization of LLMs using NVIDIA hardware/software; implement and integrate RAG workflows into customer applications.
- Collaborate with customers, sales, business development, and engineering teams to tailor solutions, support pre-sales, and contribute to generative AI technology evolution, especially in government, research, and public sectors.
Minimum Requirements
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
- 10+ years of hands-on experience in generative AI focusing on training and deploying Large Language Models (LLMs).
- Proven deployment and optimization of LLMs in production environments using frameworks like TensorFlow, PyTorch, or Hugging Face.
- Strong knowledge of GPU cluster architecture and experience with model training and inference optimization on GPUs.
Ideal Candidate Profile
- Demonstrated experience optimizing LLMs for inference speed, memory, and resource utilization at scale.
- Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable AI model deployment.
- Experience working directly with public sector, government, or research clients on advanced AI solutions, indicating strategic alignment with these domains.