NVIDIA · 4 months ago
Solutions Architect, Agentic AI
US, CA, Santa Clara
Full-time
Onsite
Senior Level
5+ years expNVIDIA is a leading company in AI technology, and they are seeking Solutions Architects to join their AI Enterprise Segment Team. The role focuses on developing agentic AI applications, integrating enterprise data, and collaborating with engineering teams to enhance NVIDIA's AI software products.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
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!
Qualification
Required
Strong foundational expertise, from a 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
Preferred
Expertise in building evaluation harnesses, success metrics, automated testing pipelines, and guardrail frameworks to ensure agentic AI workflows are safe, reliable, and production-ready
Skilled in fine-tuning and optimizing reasoning-focused LLMs and SLMs, including prompt engineering, quantization, and benchmarking
Experience developing production-grade deployment patterns using Kubernetes/OpenShift, CI/CD automation, and secure cloud-native infrastructure
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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2026-01-12
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2026-01-12
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