Solutions Architect, Executive Briefing Center

What you'll do

• Architect, build, and ship end-to-end Agentic AI applications featuring multi-agent coordination and long-horizon reasoning.
• Develop multi-agent systems, retrieval pipelines, and optimized inference stacks on NVIDIA’s accelerated computing platform.
• Write production-level code in Python and/or C/C++ to build scalable GPU-accelerated architectures.
• Create and present technical demos for use at trade shows and high-level executive customer meetings.
• Act as a Technical Advisor during Executive Briefings to explain sophisticated AI concepts to diverse audiences.
• Translate customer feedback into actionable product insights and roadmap requirements for engineering and product teams.
• Develop technical collateral, workshops, and developer community content to scale global expertise.
• Deploy large-scale AI workloads on public cloud platforms or on-premise infrastructure.

What we're looking 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 sophisticated agentic and multi-agent AI systems using orchestration frameworks like LangGraph, LlamaIndex, CrewAI, LangChain, or OpenAI Agents SDK.
• Solid understanding of MCP and A2A.
• Strong background in PyTorch and distributed GPU (post-)training.
• Ability to prototype and build scalable GPU-accelerated architectures using test-time compute, reinforcement learning, inference optimization, and post-training.
• Experience deploying workloads at scale on public cloud (AWS, GCP, Azure, OCI) or on-premise.
• Excellent communication and presentation skills to explain sophisticated ideas to both technical and non-technical groups.