Solution Architect – Agentic AI
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Job Description
Solution Architect helping NVIDIA partners build enterprise-ready agentic AI products on NVIDIA’s AI stack. Creating reference architectures, proofs of concept, and secure deployment patterns.
Responsibilities:
- 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
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