Solution Architect - Agentic AI

NVIDIA; Hamburg; On-site; EUR 120,000 - 190,000; Full time

Job summary

NVIDIA is seeking an experienced Solutions Architect to drive enterprise-ready agentic AI solutions on the NVIDIA stack from Hamburg. You will lead technical discovery, design reference architectures, and build hands-on proofs of concept that scale from local prototypes to on‑prem deployments.

The role requires 8+ years in production LLM/agentic AI, strong Python and TypeScript/JavaScript, Kubernetes expertise, and deep collaboration with customers and partners.

Qualifications

• BS/MS/PhD or equivalent experience in CS/EE/Physics/Math or related field.
• 8+ years building, deploying, or supporting production LLM or agentic AI systems.
• Strong Python programming and with TypeScript/JavaScript proficiency.
• Practical knowledge of orchestration frameworks, agent frameworks, RAG platforms, 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.
• Ability to debug across full stack: app code, APIs, model endpoints, orchestration layers, retrieval systems, security controls.
• Experience working directly with customers in architectural roles.

Responsibilities

• Lead deep technical discovery with AI application wrapper partners to understand 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.
• Develop hands-on proofs of concept showing evolution from general AI wrappers to enterprise‑grade agent platforms.
• Use DGX Spark for local agent demos, sandboxed workflows, pilot environments, and desktop‑scale benchmarking.
• Standardize on NIM plus Dynamo for serving patterns in agentic apps, ensuring fast first token and multi-turn reasoning retention.
• Help partners implement secure runtime patterns including sandboxing, policy enforcement, and human-in-the-loop controls.
• Support multi-stage deployment paths from local DGX Spark to on-prem, sovereign, hybrid cloud, or AI Factory infrastructures.
• Optimize end-to-end agent workloads for latency, throughput, retrieval quality, cost, and GPU utilization.
• Create reusable enablement assets like reference architectures, workshop content, benchmark reports, and playbooks.

Skills

Python

TypeScript/JavaScript

LLM/Agentic AI

orchestration frameworks

Kubernetes

debugging across stack

Education

BS/MS/PhD in CS/EE/Physics/Math

Tools

NIM

Dynamo

Nemotron

NeMo

CUDA-X

Job 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 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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

If you are passionate about NVIDIA technology, we should talk!

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