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Senior Solutions Architect, Retail

Job Overview

Location

US, CA, Remote

Job Type

Full-time

Category

Software Engineering

Date Posted

April 22, 2026

Full Job Description

đź“‹ Description

  • • As a Senior Solutions Architect, Retail at NVIDIA, you will drive the evolution of Agentic AI for enterprise retail, CPG, and QSR clients by designing and deploying sophisticated AI-native systems that transform raw LLM capabilities into high-performance, production-grade solutions.
  • • Day to day, you will build complex agentic systems with multi-agent coordination and long-horizon reasoning, develop domain-specific enterprise agents and RAG pipelines, optimize inference performance using NVIDIA’s GPU-accelerated stack, create PoCs and reference architectures, collaborate with ISVs and internal teams to refine NVIDIA software, empower partner engineers through workshops and architecture reviews, and scale expertise via reusable assets and documentation.
  • • You will join NVIDIA’s global AI infrastructure team, working with top-tier retail and consumer goods companies to advance the adoption of generative AI at scale, leveraging NVIDIA’s full stack including NIM, NeMo Framework, Dynamo, and Nemo Agent Toolkit to solve real-world enterprise challenges.
  • • In this role, you will deepen your expertise in cutting-edge Agentic AI architectures, gain influence as a trusted technical advisor to Fortune 500 retailers, master NVIDIA’s AI software ecosystem, and contribute to shaping the future of enterprise AI deployment through innovation, performance optimization, and scalable solution design.

Skills & Technologies

Python
Linux
TensorFlow
PyTorch
Senior
Remote
Degree Required

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About NVIDIA Corporation

NVIDIA Corporation designs and supplies graphics processing units, system-on-chips, and AI infrastructure hardware and software. Founded in 1993, the Santa Clara-based company serves gaming, data center, professional visualization, and automotive markets. Its products include GeForce GPUs, RTX graphics cards, Tesla and A100 accelerators, Jetson edge AI modules, and the CUDA parallel computing platform. NVIDIA also develops Omniverse for 3D simulation and collaborates on autonomous vehicle and robotics technologies.

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