NVIDIA
Senior Solutions Architect, Agentic AI
$184K–$288K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Jul 16, 2026
- Location
- US, CA, Santa Clara
US, Remote - Experience
- 8+ years; no stated alternatives.
- Education
- BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
About the job
Leads enterprise software partners in designing, building, optimizing, and deploying production-grade Agentic AI systems on NVIDIA’s accelerated computing platform.
What you'll do
- Lead partner engagements from discovery and architecture through prototyping, production rollout, and scale.
- Build agentic AI systems, proofs of concept, benchmarks, and reusable architectures; advise on performance, reliability, safety, and security.
- Guide model customization and post-training, and relay partner deployment feedback to NVIDIA Product and Engineering.
What they ask for
- BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
- 8+ years of engineering, solutions architecture, applied ML, or technical deployment experience.
- Track record leading complex AI, ML, distributed systems, or enterprise software deployments from prototype to production.
- Production or production-like experience building LLM, generative AI, RAG, or agentic AI applications.
Nice to have
- Hands-on experience with NVIDIA AI software, such as NIM, NeMo Framework, Triton, or TensorRT-LLM.
- Experience with agent harnesses, sandboxed execution, policy enforcement, or secure enterprise agent runtimes.
Pay
184,000 USD - 287,500 USD (base salary)
Tools
Python, Linux, PyTorch, TensorFlow, OpenShell, OpenAI Agents SDK, LangGraph, LlamaIndex
AI focus
Design and deployment of agentic AI, including multi-agent orchestration, RAG, tool use, model customization, post-training, evaluation, and production optimization.
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