Senior AI Solutions Architect — Generative AI & MLOps

NVIDIA

Illinois

On-site

USD 184,000 - 288,000

Full time

9 hours ago

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Benefits offered by this job

Equity

Benefits

Travel up to 20%

Job summary

NVIDIA seeks an outstanding AI Solutions Architect to help customers build with our AI tech, focusing on inference for Generative AI and LLMs. You will advise across teams, analyze performance, and collaborate on MLOps workloads using NVIDIA hardware and software platforms.

Ideal candidates have deep DL experience (PyTorch, TensorFlow), strong Python, and Kubernetes expertise, with 8+ years in the field. Some travel is expected.

Qualifications

Deep learning experience with PyTorch and TensorFlow.
Strong programming foundations and software design.
Experience with GPU orchestration and MIG in Kubernetes.
Background in AI inference for Generative AI/LLMs.

Responsibilities

Partner with solution architects and product teams to define high‑value solutions.
Engage with developers, researchers, and data scientists across domains.
Partner with lighthouse customers and partners targeting our computing platform.
Help customers adopt NVIDIA tech and MLOps solutions.
Analyze performance and power efficiency of AI inference workloads on Kubernetes.
Occasional travel to conferences and customer sites (up to 20%).

Skills

Deep Learning frameworks

Python programming

GPU orchestration

MIG in Kubernetes

Problem solving

C/C++ programming

Education

BS/MS/PhD in CS/EE/Physics/Math or related

Equivalent experience

Tools

PyTorch

TensorFlow

Kubernetes

Docker

NVIDIA TensorRT

NIM, Dynamo

TensorRT-LLM

Job description

Ideal candidates have deep DL experience (PyTorch, TensorFlow), strong Python, and Kubernetes expertise, with 8+ years in the field. Some travel is expected.

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