Senior Solutions Architect, Agentic AI

NVIDIA

Solutions Architect driving the future of AI by building agentic AI applications at NVIDIA. Focusing on innovative AI agents leveraging advanced techniques and engineering solutions.

Posted 7/20/2026full-timeSanta Clara • California • 🇺🇸 United StatesSenior💰 $224,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Deep Learning and Machine Learning, with strong software engineering skills in Python and C/C++. Proficient in developing advanced multi-agent systems and integrating enterprise data sources into AI applications.

Highest-signal resume keywords

Deep LearningMachine LearningPython ProgrammingTensorFlowMulti-Agent Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningMachine LearningPython ProgrammingC/C++ ProgrammingSoftware EngineeringDebuggingData StructuresAlgorithmsInference OptimizationModel Fine-Tuning

Soft Skills

Clear CommunicationCollaborationMultitasking

Tools & Technologies

TensorFlowPyTorchLinuxGPUsLangGraphLlamaIndexCrewAI

Industry Keywords

AI AgentsEnterprise DataMulti-Modal Dialogue SystemsTask-Specific AgentsRapid Prototyping

Tech Stack

Tools & technologies

LinuxPythonPyTorchTensorflow

About the role

Key responsibilities & impact

The Agentic AI team mission is to deliver innovative and optimized AI agents using the latest techniques including Test Time Compute, Reinforcement Learning, inference optimization and model fine-tuning.
We specialize on engineering new solutions to fit our customers needs by integrating their enterprise data sources into meaningful agentic applications.
You’ll work with agentic frameworks to develop applications that retrieve and generate insights from enterprise data, including text, code, and images.
Your focus will be on creating high-impact solutions such as deep research assistants, multi-modal dialogue systems, and task-specific agents that support a wide range of enterprise workflows.
You’ll be deeply engaged with engineering teams, stay ahead of the latest AI advancements, and apply strong technical judgment to everything you deliver.
Provide direct feedback from these first-time implementations to improve our software products and scale knowledge by educating vertical teams and building communities on NVIDIA AI software products!

Requirements

What you’ll need

Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).
12+ years experience demonstrating an established track record in Deep Learning and Machine Learning.
Strong software engineering and debugging skills, including experience with Python, C/C++, and Linux.
Experience with GPUs as well as expertise in using deep learning frameworks such as TensorFlow or PyTorch.
Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
Experience with building advanced multi-agent systems, using libraries like LangGraph, LlamaIndex, CrewAI.
Ability to multitask effectively in a dynamic environment, as well as clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.

Benefits

Comp & perks

equity
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