NVIDIA
AI Engineering Manager - Finance
$168K–$322K
US, CA, Santa Clara · Manager · Full-time · Posted Oct 5, 2026
- Experience
- 10+ overall years in software/AI engineering, including time leading teams and owning technical delivery; 2+ years of leadership experience.
- Education
- Bachelor's or Master's degree in computer science, engineering, data science, or a related technical field, or equivalent experience.
About the job
Leads a Finance AI engineering team building and scaling AI applications, agents, and automation, while setting technical standards and evaluating external AI vendors.
What you'll do
- Partner with Finance functions to identify high-value problems and deliver AI applications, agents, and automation.
- Set technical direction and quality standards; review designs and code and guide engineering decisions.
- Lead vendor evaluations, POCs, and build-vs-buy recommendations; establish reusable components and patterns.
What they ask for
- Experience leading engineering teams that ship production software.
- Hands-on experience building AI systems and understanding their supporting data and system architecture.
- Track record of delivering technology for business problems in finance or another data-rich, regulated domain.
- Bachelor's or Master's degree in computer science, engineering, data science, or a related technical field, or equivalent experience.
Nice to have
- Additional finance or accounting credentials.
- Experience with formal vendor evaluations, POCs, or build-vs-buy analyses alongside security, procurement, and compliance partners.
Pay
168,000 USD - 264,500 USD base salary (Level 2); 200,000 USD - 322,000 USD base salary (Level 3)
AI focus
Build and scale AI applications, agents, retrieval pipelines, model integrations, and automation for Finance; evaluate external AI solutions and emerging technologies.
Model-written summary · the original posting is authoritative