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# Solution Architect - Agentic AI

- **Company:** Nvidia
- **Location:** Wurselen, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Nvidia CUDA, Computer Engineering, Data Centers, Software Debugging, Python (Programming Language), Inference Optimization, TypeScript, Policy as Code, Haystack, LangChain, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Llamaindex, HybridCloud, Agentic-AI, Kubernetes, Information Technology, CrewAI, AutoGen, Machine Learning Operations, Nim (Programming Language)
- **Published:** October 13, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/Germany-Remote/Solution-Architect---Agentic-AI_JR2026891

## About the Role

* 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 platforms like Lovable, n8n, Haystack, LangChain, LlamaIndex, AutoGen, CrewAI, or MCP-based systems.

 * Expertise in secure agent runtime build, sandboxing, tool permissioning, confidential computing, policy-as-code, or enterprise governance controls.

 * Familiarity with DGX Spark as a local AI development platform, or experience crafting developer playbooks bridging desktop prototyping to data-center deployment.

 * Background in sovereign AI, regulated enterprise environments, or private/on-prem deployment models.

## Description

* 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.