NVIDIA
Senior Solutions Architect, Retail
$184K–$356K
US, CA, Remote · Senior · Full-time · Posted Oct 6, 2026
- Experience
- 8+ years in deep learning, machine learning, or distributed AI systems.
- Education
- BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
About the job
Build and deploy production-grade, GPU-accelerated agentic AI solutions for retail, CPG, and QSR partners, and guide their adoption and optimization.
What you'll do
- Build enterprise agentic systems, including multi-agent coordination, planning, and RAG pipelines.
- Optimize inference and develop PoCs and reference architectures for production generative AI workloads.
- Advise and enable partners through integrations, architecture reviews, workshops, and reusable deployment resources.
What they ask for
- BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
- Strong programming and debugging experience in Python, C/C++, and Linux environments.
- Background using deep learning libraries such as PyTorch or TensorFlow.
- Hands-on experience building LLM and generative AI applications, including agentic or multi-agent systems and tool-using agents.
Nice to have
- Experience with NVIDIA GPUs and AI software, including NIM, NeMo Framework, NeMo Retriever, or NeMo Agent Toolkit.
- Experience with LLM evaluation, safety guardrails, model tuning, reasoning-model optimization, or GPU-focused parallel and distributed computing.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Python, C/C++, Linux, PyTorch, TensorFlow, NIM, NeMo Framework, Dynamo
AI focus
Develop, integrate, and optimize agentic AI systems, including multi-agent coordination, RAG, tool-using agents, accelerated inference, and production generative AI pipelines.
Model-written summary · the original posting is authoritative