Deep Learning Solution Architect - Agentic Performance
Core
Design, optimize, and deliver production-grade generative AI solutions for enterprise customers using NVIDIA's hardware and software ecosystem, focusing on LLM training, RAG workflows, and agentic inference.
Role type
Senior Solution Architect (Generative AI / LLMs)
Builds
Production-grade LLM solutions, RAG pipelines, and agentic inference systems
Domain
Enterprise Generative AI, Large Language Models, GPU Computing
Deliverable
production ML models
Required skills
LLM pretraining and fine-tuning, RAG workflow design, agentic inference orchestration, distributed training optimization, GPU cluster architecture, PyTorch, Hugging Face Transformers
Preferred skills
NVIDIA TRT-LLM, Megatron-LM, NVIDIA NeMo, LLM quantization, KV Cache tuning, Docker, Kubernetes, multi-GPU parallelism
Responsibilities
Architect end-to-end LLM solutions, collaborate with customers on business challenges, lead LLM training and performance tuning, design and integrate RAG and agentic pipelines, support pre-sales technical activities
