Senior Solutions Architect, Agentic AI

What you’ll do

• Architect, build, and ship end-to-end Agentic AI applications for M&E use cases including multi-agent coordination, long-horizon reasoning, planning, tool use, and high-performance RAG pipelines over heterogeneous media assets.
• Act as hands-on technical advisor and domain expert during pre- and post-sale stages, working closely with customer AI researchers and engineers to prototype and deploy solutions on NVIDIA platforms.
• Optimize inference performance and total cost of ownership using the full NVIDIA AI inference stack; build proofs-of-concept, reference architectures, and reusable blueprints.
• Partner with NVIDIA engineering, product, and sales teams to secure build wins, translate customer feedback into product insights, and scale expertise through technical collateral and workshops.

What you’ll bring

• BS/MS/PhD in CS, EE, Physics, Math, AI/ML, or related field (or equivalent experience).
• 8+ 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, or OpenAI Agents SDK.
• Strong background in PyTorch and distributed GPU (post-)training; able to prototype and build scalable GPU-accelerated architectures and deploy at scale on public cloud or on-premise.

Technologies

LangGraph · LlamaIndex · CrewAI · LangChain · OpenAI Agents SDK · PyTorch · NVIDIA NIM · NeMo Framework · TensorRT-LLM · Kubernetes

About NVIDIA

Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.

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