Solutions Architect, AI Models

Responsibilities

• A huge part of our work involves developing end-to-end AI solutions for enterprise use cases. We help customers adopt NVIDIA AI models and libraries by offering deep technical expertise.
• Tackle sophisticated AI challenges by applying skills across the AI model lifecycle—from data processing and orchestration to training, post-training, reinforcement learning (RL), evaluation, and model optimization.
• Support a broad model portfolio spanning LLMs, multimodal, retrieval, speech, content safety, and edge use cases.
• Partner with enterprise customers in co-design engagements — understanding their data, evaluation criteria, and success metrics to deliver customized AI solutions.
• As we work with customers across multiple industries, we help improve NVIDIA products and build creative solutions to overcome scaling challenges at the intersection of computer architecture, models, libraries, and AI applications.
• Contribute to the wider organization and community by sharing your expert knowledge. This can vary from contributing to open-source projects and product engineering to publishing findings and delivering hands-on training.
• Above all, you will be part of the team that helps bring NVIDIA technology to life in the Enterprise! We empower you and give you the tools to achieve this with the backing of all of NVIDIA, including other Solution Architects, Product, Engineering and
• Research teams. You’ll get to be the face and trusted expert advisor that our customers and partners rely on.
• What we need to see
• Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).

Languages