AI Engineering Manager - Finance

at Nvidia

📍 Santa Clara, United States

USD 168,000-322,000 per year

SENIOR

✅ On-site

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 @ 7 Compliance @ 4 Data Science @ 4 Leadership @ 4 Security @ 4 System Architecture @ 7

Details

NVIDIA is looking for an AI Engineering Manager to join the Finance AI team. The role involves leading a small team of AI engineers building AI solutions for Finance, evaluating vendor-driven finance AI solutions, onboarding new tools and technologies, and applying finance knowledge to select the right technology for each problem.

Responsibilities

Partner with the CFO organization, including FP&A, Accounting, Treasury, Tax, and Procurement, to identify high-value problems and convert them into AI applications, agents, and automation.
Set the technical direction and quality standards for how Finance builds and ships AI solutions.
Review designs and code, make technical decisions, and establish engineering standards for agents, retrieval pipelines, and model integrations.
Lead end-to-end technical evaluations of external AI vendors, including defining selection criteria, running structured proofs of concept and bake-offs, evaluating capability and cost, and making build-versus-buy recommendations.
Scale the team's output as AI adoption expands across Finance by establishing reusable components, patterns, and standards.

Requirements

Experience leading engineering teams that deliver production software as a manager, tech lead, or player-coach.
Hands-on experience building AI systems and strong knowledge of the data and system architecture that supports them.
Track record of delivering technology for real business problems, preferably in finance or another data-rich, regulated domain.
At least 10 years of overall experience in software or AI engineering, including experience leading teams and owning technical delivery.
At least 2 years of leadership experience.
Bachelor's or Master's degree in computer science, engineering, data science, or a related technical field, or equivalent experience.
Additional finance or accounting credentials are a strong plus.
Strong communication skills and the ability to work effectively with engineers and finance or business leaders.
Experience with formal vendor evaluations, proofs of concept, or build-versus-buy analyses involving security, procurement, and compliance partners.
Interest in current AI research, products, models, and frameworks.

Benefits

NVIDIA offers competitive salaries, a comprehensive benefits package, equity, and benefits for employees and their families. The position is full-time.