Senior Solutions Architect, Agentic AI - Public Sector

Overview

Senior Solutions Architect responsible for architecting and delivering generative AI solutions for public-sector customers, with a focus on LLM training, Agentic AI, and RAG workflows.

What you'll do

• Architect end-to-end generative AI solutions using LLM, Agentic AI, and RAG workflows.
• Design tailored solutions for customer language-related challenges.
• Support pre-sales activities through technical presentations and demonstrations.
• Lead workshops and design sessions for LLM and RAG solutions.
• Train and optimize LLMs using NVIDIA hardware and software platforms.
• Implement RAG workflows in customer applications and systems.
• Provide technical guidance on LLM training and RAG implementation best practices.

What you'll need

• 10+ years of hands-on technical experience focused on generative AI and LLM training.
• B.Tech, master's, or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
• Experience deploying and optimizing LLMs for production inference.
• Expertise with TensorFlow, PyTorch, or Hugging Face Transformers.
• Knowledge of GPU cluster architecture and parallel processing.
• Experience presenting technical solutions and leading workshops or training sessions.

Nice to have

• Experience optimizing LLM inference speed, memory efficiency, and resource utilization.
• Familiarity with Docker and Kubernetes.
• Hands-on experience with NVIDIA GPU technologies and GPU cluster management.
• Experience designing scalable LLM training and inference workflows on GPU clusters.

Details

• Location: Gurugram, India.
• Work with government, research, and public-sector departments.