Agentic AI Solutions Architect & Demos Lead

NVIDIA; United States; On-site; USD 124,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Executive Briefings exposure

Job summary

NVIDIA is seeking an Executive Briefing Center Solutions Architect in the United States. You will architect, build, and ship end-to-end agentic AI applications, coordinating multi-agent systems and tool use for executive briefings and customer engagements.

You will prototype and write production code in Python/C++ on Linux, deploy workloads across cloud or on-prem, and present demos at trade shows and meetings. Strong communication and a track record in GPU-accelerated AI are essential.

Qualifications

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or related field (or equivalent)
• 2+ years as ML/Software Engineer or Solutions Architect writing production-level Python/C/C++ in Linux
• Experience building agentic and multi-agent AI systems using orchestration frameworks
• Strong background in PyTorch and distributed GPU training; cloud and on-prem deployment experience
• Excellent communication and presentation skills for technical and non-technical audiences

Responsibilities

• Architect, build, and ship end-to-end Agentic AI apps for multi-agent coordination and tool use
• Act as Technical Advisor alongside SMEs in Executive Briefings
• Create and present demos for Trade Shows or Customer Meetings
• Collaborate with NVIDIA engineering, product, and sales to translate feedback into product roadmaps and technical collateral

Skills

Python

C/C++

Linux

Solutions Architect

Communication skills

Agentic AI

Multi-agent systems

PyTorch

Cloud deployment

Education

BS/MS/PhD in CS or related

Tools

LangGraph

LlamaIndex

CrewAI

LangChain

OpenAI Agents SDK

MCP (Model Context Protocol)

A2A

PyTorch

Job description

NVIDIA is seeking an Executive Briefing Center Solutions Architect in the United States. You will architect, build, and ship end-to-end agentic AI applications, coordinating multi-agent systems and tool use for executive briefings and customer engagements.

You will prototype and write production code in Python/C++ on Linux, deploy workloads across cloud or on-prem, and present demos at trade shows and meetings. Strong communication and a track record in GPU-accelerated AI are essential.