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Senior Solutions Architect, Retail

NVIDIA· Architect, Solutions
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Hybrid (Remote)$184k - $287.5kFull-timePosted 6mo ago

About the role

Solutions Architect focused on Agentic AI for enterprise in the Retail/CPG/QSR space, partnering with top retailers to design and deploy AI-native systems with multi-agent coordination, RAG workflows, and accelerated inference using NVIDIA core technologies.

Responsibilities

  • Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks.
  • Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
  • Optimize inference performance by leveraging GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack.
  • Build hands-on PoCs and reference architectures for production-grade generative AI pipelines.
  • Collaborate with Enterprise ISVs to integrate NVIDIA software into native platforms, accelerating deployment of production workloads.
  • Collaborate with internal teams to improve NVIDIA software based on real-world implementations.
  • Empower partner engineering teams through technical workshops, deep-dive architecture reviews, and developer enablement.
  • Scale global expertise by creating reusable assets and documentation to help field teams deploy agentic AI at scale.

Qualifications

  • BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
  • 8+ years of experience in deep learning, machine learning, or distributed AI systems.
  • Strong programming and debugging experience in Python, C/C++, and Linux environments.
  • Background in using deep learning libraries like PyTorch or TensorFlow.
  • Hands-on experience building LLM and generative AI applications.
  • Experience with agentic or multi-agent AI systems using frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK or similar.
  • Experience building tool-using AI agents that interact with APIs, databases, and enterprise systems.
  • Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures.

Skills

Required:PythonC/C++LinuxPyTorchLLM / Generative AIAgentic / Multi-agent Systems
Nice to have:TensorFlow

Benefits

  • equity
  • benefits (see NVIDIA Benefits)
Last updated Oct 9, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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