Senior Solutions Architect, Retail
Core
Design, build, and deploy enterprise-grade Agentic AI solutions for Retail, CPG, and QSR companies using NVIDIA's AI stack.
Role type
Senior Solutions Architect (Agentic AI)
Builds
Multi-agent coordination systems, RAG-integrated workflows, and production-grade generative AI pipelines.
Domain
Enterprise AI / Generative AI / Retail Technology
Deliverable
production ML models
Required skills
Deep learning, Machine learning, Distributed AI systems, Python, C/C++, Linux, PyTorch, TensorFlow, LLM application development, Agentic/Multi-agent AI frameworks, Tool-using AI agents, GPU-accelerated architecture
Preferred skills
NVIDIA NIM/NeMo/Dynamo, LLM evaluation frameworks, Fine-tuning techniques (SFT, LoRA, DPO), Reasoning optimization, Parallel/distributed computing
Technologies
NVIDIA NIM, NeMo Framework, Dynamo, Nemo Agent Toolkit, LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK
Responsibilities
Build complex agentic systems with multi-agent coordination and long-horizon reasoning; Develop full-scale solutions including domain-specific enterprise agents and RAG pipelines; Optimize inference performance using GPU-accelerated frameworks; Build hands-on PoCs and reference architectures; Collaborate with Enterprise ISVs to integrate NVIDIA software; Empower partner engineering teams through technical workshops and architecture reviews; Scale global expertise by crafting reusable assets and documentation.
Seniority
Senior, hands-on IC
