Senior Solutions Architect, Retail

Interested in developing innovative Agentic AI solutions with the world's top Retail, CPG, and QSR companies? Join NVIDIA as a Solutions Architect to own the evolution of Agentic AI for the enterprise. You will collaborate with top-tier Retail Companies to build and deploy sophisticated AI-native systems, focusing on multi-agent coordination, RAG-integrated workflows, and accelerated inference. By mastering NVIDIA’s core technologies—NIM, NeMo Framework, Dynamo, and Nemo Agent Toolkit—you will guide partners through the complexities of performance optimization and production-grade deployment. As a trusted advisor, you’ll transform raw LLM capabilities into high-performance, industry-focused enterprise agents. What you'll be doing: Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks. Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources. Optimize inference performance by bringing to bear GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack. Build hands-on PoCs and reference architectures that serve as the blueprint for production-grade generative AI pipelines. Collaborate alongside Enterprise ISVs to integrate NVIDIA software into native platforms, accelerating the deployment of production workloads. Collaborate with diverse internal teams to improve NVIDIA software through feedback from real-world implementations. Empower partner engineering teams through technical workshops, deep-dive architecture reviews, and developer enablement. Scale global expertise by crafting reusable assets and documentation that help field teams deploy agentic AI at scale. What we need to see: BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience. 8+ years of experience in deep learning, machine learning, or distributed AI systems. Strong programming and debugging experience...