Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Communication @ 6
Compliance @ 4
Data Engineering @ 4
Data Modeling @ 4
Data Science @ 4
Machine Learning @ 4
Reporting @ 7
Security @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is looking for a Solutions Architect to join the Finance AI & Data team. In this role, you will act as the bridge between finance and engineering by translating business needs into technical specifications, designing end-to-end solutions, and ensuring that solutions fit and scale within NVIDIA's broader technology landscape. You will articulate finance's requirements to product teams and co-develop partner solutions that solve measurable business problems.
Responsibilities
- Understand the challenges of the CFO organization and map them to NVIDIA technologies that can solve them.
- Determine how AI, systems, tools, and data compose into a working whole, while proactively identifying gaps between business needs and technology capabilities.
- Partner across finance, IT, data, security, and NVIDIA product and engineering teams.
- Debate data flows and AI harnesses with engineers, help finance leaders articulate workable and scalable designs, and identify effective solutions.
- Understand the high- and low-level architecture of projects spanning AI, machine learning, data engineering, automation, applications, ERP, compliance, and security.
Requirements
- Strong understanding of finance and accounting processes and data, including FP&A, close, reporting, and controls.
- Bachelor's or master's degree, or equivalent experience, in Business Analytics, Data Science, Economics, Computer Science, or Finance.
- At least 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.
Preferred Qualifications
- Hands-on experience building technical solutions, with literacy in data modeling and data architecture.
- Intuitive understanding of where projects fail and the ability to guide others around those risks.
- Experience in corporate or strategic finance, accounting, or adjacent areas.
- Track record of leading projects or workstreams and managing across business and technical groups.
- Enthusiasm for adopting and evaluating the latest AI technologies, combined with realistic expectations about their application.
Benefits
NVIDIA offers competitive salaries, a comprehensive benefits package, and equity. The company is committed to fostering an inclusive work environment and is an equal opportunity employer. Applications will be accepted at least until October 2, 2026.
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