Solution Architect – Agentic AI

🔥 0 minutes ago

🌐 Germany, United Kingdom, +3 more countries – Remote

🇩🇪 Germany – Remote 🇬🇧 United Kingdom – Remote 🇨🇭 Switzerland – Remote 🇳🇱 Netherlands – Remote 🇫🇷 France – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Lead deep technical discovery with AI application wrapper partners • Build reference architectures integrating NVIDIA NIM, Nemotron, model routing, Dynamo, NeMo, AI-Q, CUDA-X libraries, OpenShell, and NemoClaw • Build hands-on proofs of concept for specialized, enterprise-ready agent platforms • Use DGX Spark for local agent demos, secure sandboxed workflows, developer playbooks, pilot environments, and desktop-scale benchmarking • Standardize NIM plus Dynamo serving patterns for agentic applications • Help partners integrate sandboxing, policy enforcement, and human-in-the-loop controls • Support deployment from local DGX Spark development to on-prem, sovereign, hybrid cloud, or AI Factory infrastructure • Optimize agentic workloads for latency, throughput, retrieval quality, cost efficiency, and GPU utilization • Develop reusable reference architectures, workshop content, benchmark reports, and playbooks

🎯 Requirements

• 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 • 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 application code, APIs, model endpoints, orchestration layers, retrieval systems, infrastructure, and security controls • Expertise working directly with customers in architectural roles • Capability to impact both creators and corporate decision-makers • Comfort with uncertainty and ability to rapidly transition from idea to proof of concept • Practical experience with NVIDIA NIM, Nemotron, NeMo, Dynamo, AI-Q, OpenShell, NemoClaw, or NVIDIA AI Enterprise • Experience with 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 or developer playbooks bridging desktop prototyping to data-center deployment • Background in sovereign AI, regulated enterprise environments, or private/on-prem deployment models

🏖️ Benefits

• Diverse, supportive work environment • Equal opportunity employer • NVIDIA technology and AI innovation environment