Senior Solutions Architect, Retail

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 21 days ago
Freshness: Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k

This role $236k

$136k $304k

below market most similar roles pay here above market

This role pays more than 89% of similar roles. Most pay $162,000–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Solutions Architect, Retail

Role Posting Log in to save

As a Senior Solutions Architect, Retail, you will join the team to own the evolution of Agentic AI for enterprise customers in the Retail, CPG, and QSR sectors. You will build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and high-performance retrieval pipelines. Your daily work involves developing full-scale solutions, building hands-on PoCs, and creating reference architectures for production-grade generative AI pipelines. You will utilize technologies including NIM, NeMo Framework, Dynamo, and NeMo Agent Toolkit, alongside Python, C/C++, PyTorch, and TensorFlow. Key responsibilities include optimizing inference performance using GPU-accelerated frameworks and integrating software into native platforms. You must possess expertise in orchestration frameworks like LangGraph, LlamaIndex, and CrewAI to transform raw LLM capabilities into industry-focused enterprise agents.

What does a Solutions Architect earn in Remote?

Median $220000 from 61 postings across 16 companies.

See salary data

Skills

Agentic AI RAG NVIDIA NIM NeMo Framework NeMo Agent Toolkit Python C/C++ PyTorch TensorFlow LangChain LangGraph LlamaIndex CrewAI LLM Distributed Computing SFT LoRA DPO PPO Quantization Linux

What you'll do

Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks.
Develop domain-specific enterprise agents and high-performance retrieval pipelines (RAG) across various data sources.
Optimize inference performance using GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack.
Build hands-on PoCs and reference architectures to serve as blueprints for production-grade generative AI pipelines.
Integrate NVIDIA software into native platforms alongside Enterprise ISVs to accelerate production workload deployment.
Provide technical workshops, deep-dive architecture reviews, and developer enablement to empower partner engineering teams.
Create reusable assets and documentation to help field teams deploy agentic AI solutions at scale.

What we're looking for

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 building agentic or multi-agent AI systems using frameworks like LangGraph, LlamaIndex, CrewAI, LangChain, or OpenAI Agents SDK.
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.

Save