Senior Solutions Architect, Retail - Remote

Originally posted 6 October 2026 by the employer. Relisted by the employer on 7 October 2026.

About the role

You will work with enterprise partners utilizing core technologies including NVIDIA NIM, NeMo Framework, Dynamo, and NeMo Agent Toolkit.

What you'll do

- Build agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks. - Develop domain-specific enterprise agents and high-performance retrieval pipelines (RAG) across diverse data sources. - Build hands-on PoCs and reference architectures serving as blueprints for production-grade generative AI pipelines. - Collaborate with Enterprise ISVs to integrate NVIDIA software into native platforms and support partner engineering through technical workshops and architecture reviews. - Create reusable assets and documentation to help field teams deploy agentic AI implementations.

What you'll need

- BS, MS, or 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 in Python, C/C++, and Linux environments. - Experience utilizing deep learning libraries including PyTorch or TensorFlow. - Hands-on experience building LLM and generative AI applications. - Experience working with agentic or multi-agent AI systems utilizing frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, or OpenAI Agents SDK.

Skills: AI-native systems, multi-agent coordination, RAG-integrated workflows, GPU-accelerated frameworks, generative AI pipelines