Solutions Architect, Executive Briefing Center

Responsibilities

• Architect, build, and ship end-to-end Agentic AI applications for a variety of use cases—spanning multi-agent coordination, long-horizon reasoning, planning, and tool use.
• Act as Technical Advisor alongside fellow Subject Matter Experts (SME) in Executive Briefings.
• Creating and presenting demos that are used at Trade Shows or Customer Meetings.
• Partner with NVIDIA engineering, product, and sales teams to secure build wins, translate customer feedback into actionable product and roadmap insights, and scale global expertise through technical collateral, workshops, and developer communities.
• What we need to see
• 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 such as LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK —including tool-using and routing agents. Solid understanding of MCP and A2A is vital.
• Strong background in PyTorch and distributed GPU (post-)training. Able to quickly prototype and build scalable GPU-accelerated architectures. Applies test-time compute, reinforcement learning, inference optimization, and post-training. Deploys workloads at scale on public cloud (AWS, GCP, Azure, OCI) or on-premise.
• Strong grasp of the way C-Suite and

Languages