Solutions Architect - Finance

AI in this role

Solutions architect bridging finance and engineering to design scalable AI, data, and ERP systems at NVIDIA.

nvidia-gpus

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Solutions Architect to join the Finance AI & Data team at NVIDIA! In this role, you'll act as the bridge between finance and engineering: translating business needs into technical specifications, designing end-to-end solutions, and making sure each one fits and scales within NVIDIA's broader technology landscape. You'll articulate finance's requirements to product teams and co-develop partner solutions that solve measurable business problems. Does this opportunity sound interesting? If so, we'd love to hear from you!

What you'll be doing:

We seek someone that deeply understands the challenges of the CFO org and map them to the right Nvidian technologies that will solve them.
Determine how AI, systems, tools, and data compose into a working whole, proactively raising gaps between what business needs and what the technology can do.
Partner constantly across finance, IT, data, security, and NVIDIA's product and engineering teams.
Debate data flows and AI harnesses with engineers, help finance leaders articulate workable and scalable designs, and find the solution that gets the job done.
Understand the high- and low-level architecture of projects spanning AI, ML, data engineering, automation, application, ERP, compliance, and security.

What we need to see:

A strong understanding of finance and accounting processes and data—FP&A, close, reporting, and controls.
BS/MS or equivalent experience in Business Analytics, Data Science, Economics, Computer Science, or Finance.
5+ years of experience using technology to solve business problems, including at least 2 years in a technical or technical-adjacent role.
Excellent communication and organizational skills.

Ways to stand out from the crowd:

Hands-on experience building technical solutions, plus literacy in data modeling and data architecture. An intuitive understanding of where projects fail that lets you guide others around those points.
Experience in corporate or strategic finance or accounting roles or adjacent areas.
A track record of leading projects or workstreams and managing across both business and technical groups.
An enthusiastic early adopter of the latest AI technology – and a realist about expectations. You’ve tried it, you’ve played with it, and you know if it fills an important space in your tool box.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Solutions Architect - Finance at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Solutions ArchitectureFinanceData EngineeringEnterprise ArchitectureNvidia Gpus

Questions you could be asked

Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where finance was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where enterprise architecture was part of your work. What did you do?
Walk me through how you've used Nvidia Gpus in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Solutions Architecture, Finance, Data Engineering, Enterprise Architecture, and Nvidia Gpus. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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