Senior Solutions Architect, Agentic AI - Public Sector
Core
Architect and deliver end-to-end generative AI solutions leveraging NVIDIA's technologies, focusing on training Large Language Models (LLMs) and implementing Agentic and RAG-based workflows for government, research, and public sector clients.
Role type
Senior Solutions Architect (Generative AI / LLMs)
Builds
Production-ready LLM training pipelines, RAG-based information retrieval systems, and agentic AI workflows.
Domain
Generative AI, Large Language Models, Public Sector
Deliverable
production ML models
Required skills
LLM training and fine-tuning, RAG workflow design, GPU cluster architecture, distributed computing, model optimization for inference, technical pre-sales and solution design
Preferred skills
Containerization (Docker), orchestration (Kubernetes), NVIDIA GPU technologies, parallel processing
Technologies
TensorFlow, Pytorch, Hugging Face Transformers, NVIDIA GPUs, Docker, Kubernetes
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; Lead workshops and design sessions to define and refine generative AI solutions; Implement strategies for efficient training of LLMs; Design and implement RAG-based workflows; Provide technical leadership on best practices for LLM training and RAG solutions.
Seniority
Senior, hands-on IC
