Solutions Architect, Agentic AI

🕒 September 4, 2025

🏄 California – Remote

🏄 California – Remote

💵 $148k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Deliver innovative and optimized AI agents using Test Time Compute, Reinforcement Learning, inference optimization and model fine-tuning • Integrate enterprise data sources into agentic applications that retrieve and generate insights from text, code, and images • Develop deep research assistants, multi-modal dialogue systems, and task-specific agents supporting enterprise workflows • Engage with engineering teams, apply technical judgment, and stay ahead of AI advancements • Provide direct feedback from implementations to improve NVIDIA AI Enterprise Software and scale knowledge by educating vertical teams and building communities

🎯 Requirements

• BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience) • 5+ 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 • Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams

🏖️ Benefits

• equity • benefits