Solution Architect – Agentic AI

• 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

• 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

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