Solutions Architect, Executive Briefing Center

What you'll do

• Architect, build, and ship end-to-end agentic AI applications, including multi-agent systems, retrieval pipelines, and optimized inference stacks.
• Advise as a technical subject matter expert during executive briefings and create and present demos for trade shows and customer meetings.
• Partner with engineering, product, sales, and account teams to develop proofs of concept, improve presentations, and translate customer feedback into product insights and technical collateral.

What they ask for

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or a related field (or equivalent experience).
• 2+ years as an ML/Software Engineer or Solutions Architect writing production-level code in Python and/or C/C++ in Linux environments.
• Validated experience building agentic and multi-agent AI systems with orchestration frameworks; solid understanding of MCP and A2A.
• Strong PyTorch and distributed GPU training background; ability to prototype scalable GPU-accelerated architectures and deploy workloads at scale on public cloud or on-premise.

Nice to have

• Practical experience with the NVIDIA agentic AI software stack.
• Experience with LLM evaluation, benchmarking, observability, safety guardrails, fine-tuning, and optimizing reasoning-focused LLMs and SLMs.

Pay

124,000 USD - 195,500 USD base salary (Level 2); 152,000 USD - 241,500 USD base salary (Level 3)

Tools

Python, C/C++, Linux, PyTorch, LangGraph, LlamaIndex, CrewAI, LangChain

AI focus

Develop and demonstrate agentic and multi-agent AI applications, including retrieval, reasoning, planning, tool use, distributed GPU training, inference optimization, and post-training.