Senior Solutions Architect, Agentic AI jobs in United States
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NVIDIA · 3 days ago

Senior Solutions Architect, Agentic AI

NVIDIA is seeking an outstanding Senior AI Engineer or Solutions Architect to join their growing team focused on partner enablement for Agentic AI. In this role, you will lead by example as both a strategic technical expert and a hands-on developer, building innovative proof-of-concept solutions and reference architectures for AI agents using NVIDIA's platforms.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Building an end-to-end agentic AI applications that solve real-world enterprise problems across various industries
Serve as the primary technical domain expert for pre- and post-sale for partners, embedding deeply with them to design and deploy Generative AI solutions. Maintain strong relationships with leadership and technical teams to drive adoption, and successful utilization of NVIDIA GenAI platforms
Accelerate partner/customer time to value by providing repeatable reference architecture guidance, building hands-on prototypes, and advising on standard methodologies for scaling solutions to productions
Define the scope, success metrics, and evaluation criteria for partner-led customer projects, ensuring they are built on standardized and reproducible GPU-accelerated workflows
Enable strategic partners to launch their own Professional Services and platforms by tailoring NVIDIA agentic AI blueprints for high-impact customer workloads. You will proactively find opportunities to drive deeper adoption and utilization of NVIDIA's Generative AI products
Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads

Qualification

AI model deploymentGenerative AI systemsPython programmingDeep Learning frameworksNeMo FrameworkLLM frameworksCUDAProject ownershipCommunicationFast-paced environment

Required

MS or PhD degree in Computer Science/Engineering, Machine Learning, Data Science, Electrical Engineering or a closely related field (or equivalent experience)
8+ years of meaningful work experience in deploying AI models at scale as a Software Engineer or Deep Learning engineer
Consistent track record of building enterprise-grade agentic AI systems using open-source models and solid foundation in deep learning, with a particular emphasis on generative models
Hands-on experience with LLM and agentic frameworks (NeMo Agent Toolkit, LangChain, Semantic Kernel, Crew.ai, AutoGen) and evaluation and observability platforms. Comfortable building prototypes or proofs of concept
Strong coding development and proficiency in Python, C++ and Deep Learning frameworks (PyTorch, or TensorFlow)
Excellent communication and presentation skills to effectively collaborate with both internal executives, partners and customers

Preferred

Demonstrate expertise in building applications and systems using NeMo Framework, inference at scale, NIMs, AI Blueprints
Take end-to-end ownership of projects, proactively acquiring new skills or knowledge as needed to drive success
Excel in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact
Understanding of different advanced agent architectures and emerging communication protocols (MCP or Google A2A)
NVIDIA GPUs and system software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink and others

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

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 Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase