# Solution Architect - Agentic AI at NVIDIA

NVIDIA is hiring a Solution Architect - Agentic AI for a remote role open to applicants in Germany. Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/4079f749-5f43-451a-b597-3744ac68991d).

AI Level 3, AI centrality 65 out of 100. Remote (Germany, Remote).

## Details

- Company: [NVIDIA](https://jobsbylevel.com/companies/nvidia)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Remote (Germany, Remote)
- Posted: October 12, 2026
- Apply: https://jobsbylevel.com/go/4079f749-5f43-451a-b597-3744ac68991d

## Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join us at NVIDIA, where we are pushing the boundaries of AI to develop the future of computing! Our Agentic AI Applications and Specialized Agents team is leading this transformation, driving innovation in AI-native software. As a Solutions Architect, you’ll play a pivotal role in helping our partners build enterprise-ready agentic AI products on the NVIDIA stack. This outstanding opportunity allows you to work with innovative technology and collaborate with individuals known for their creativity and problem-solving skills in the industry. You’ll be instrumental in making NVIDIA the technical foundation for AI application wrappers, orchestrating agents, and specialized workflows. What You’ll Be Doing: Lead deep technical discovery with AI application wrapper partners to understand their product architecture, agent topology, and orchestration model. Build reference architectures that integrate NVIDIA NIM, Nemotron, model routing, Dynamo, NeMo, AI-Q, CUDA-X libraries, OpenShell, and NemoClaw. Build hands-on proofs of concept to demonstrate how partners can evolve from general-purpose AI wrappers to specialized, enterprise-ready agent platforms. Use DGX Spark for local agent demos, secure sandboxed workflows, developer playbooks, pilot environments, and desktop-scale benchmarking for agentic use cases. Standardize on NIM plus Dynamo for serving patterns in agentic applications, ensuring fast time to first token and multi-turn reasoning retention. Help partners integrate secure runtime patterns including sandboxing, policy enforcement, and human-in-the-loop control points. Support multi-stage deployment paths from local DGX Spark development to on-prem, sovereign, hybrid cloud, or AI Factory infrastructure rollouts. Optimize end-to-end agentic workloads for latency, throughput, retrieval quality, cost efficiency, and GPU utilization. Develop reusable enablement assets like reference architectures, workshop content, benchmark reports, and playbooks for agentic application wrappers. What We Need To See: BS, MS, PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related engineering field—or equivalent practical experience. 8+ years in building, deploying, or supporting production LLM or agentic AI systems. Strong Python programming and practical proficiency with TypeScript or JavaScript. Practical knowledge of orchestration frameworks, agent frameworks, RAG platforms, workflow automation systems, or AI application builders. Familiarity with model serving and inference optimization, including NIM and Dynamo. Experience with Kubernetes, Helm, containers, and GPU-backed workloads in cloud, hybrid, or on-prem environments. Ability to debug across the full stack: application code, APIs, model endpoints, orchestration layers, retrieval systems, infrastructure, and security controls. Expertise in working directly with customers in architectural roles and the capability to impact both creators and corporate decision-makers. Comfort with uncertainty and the ability to rapidly transition from idea to proof of concept. Ways To Stand Out From The Crowd: Practical experience working directly with NVIDIA NIM, Nemotron, NeMo, Dynamo, AI-Q, OpenShell, NemoClaw, or NVIDIA AI Enterprise. Experience with

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Source: https://jobsbylevel.com/jobs/solution-architect-agentic-ai-at-nvidia-afb77a

## Cite this page

Level. https://jobsbylevel.com/jobs/solution-architect-agentic-ai-at-nvidia-afb77a.

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