Enterprise AI Solutions Architect for Retail

NVIDIA; California; On-site; USD 230,000 - 320,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Solutions Architect to drive the evolution of Agentic AI for the enterprise. You will design and deploy AI-native systems for top Retail, CPG, and QSR partners, focusing on multi-agent coordination and scalable inference.

You will leverage NIM, NeMo, Dynamo, and Nemo Agent Toolkit to translate LLM capabilities into production-grade solutions, run workshops, and build reusable assets for field teams across global deployments.

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 working with agentic or multi-agent AI systems employing frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK or similar orchestration frameworks
• 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.

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 bringing to bear GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack.
• Build hands-on PoCs and reference architectures that serve as the blueprint for production-grade generative AI pipelines.
• Collaborate alongside Enterprise ISVs to integrate NVIDIA software into native platforms, accelerating the deployment of production workloads.
• Collaborate with diverse internal teams to improve NVIDIA software through feedback from real-world implementations.
• Empower partner engineering teams through technical workshops, deep-dive architecture reviews, and developer enablement.
• Scale global expertise by crafting reusable assets and documentation that help field teams deploy agentic AI at scale.

Skills

Python

C/C++

Linux

PyTorch

LLM & Generative AI

Multi-agent systems

API integration

GPU-accelerated inference

Education

BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML or equivalent

Tools

NIM

NeMo Framework

Dynamo

Nemo Agent Toolkit

LangGraph

LlamaIndex

LangChain

OpenAI Agents SDK

Job description

NVIDIA is seeking a Solutions Architect to drive the evolution of Agentic AI for the enterprise. You will design and deploy AI-native systems for top Retail, CPG, and QSR partners, focusing on multi-agent coordination and scalable inference.

You will leverage NIM, NeMo, Dynamo, and Nemo Agent Toolkit to translate LLM capabilities into production-grade solutions, run workshops, and build reusable assets for field teams across global deployments.