Senior Staff AI Engineer – Finance

NVIDIA•Santa Clara, CA

2d•$200,000 - $322,000

About The Position

NVIDIA is seeking a Senior Staff AI Engineer to join its Finance AI team. The role focuses on designing, building, evaluating, and operating AI-powered applications, agents, and automation for Finance. It is primarily an applied engineering position building on foundation models, with opportunities to demonstrate where customized Nemotron models outperform prompting and retrieval. The engineer will develop end-to-end agentic systems in partnership with Finance stakeholders, establish architecture and shared engineering practices, evaluate emerging AI technologies, and collaborate with the model team to leverage, fine-tune, and post-train Nemotron models for finance use cases. The position also involves mentoring engineers and representing AI engineering to Finance and NVIDIA leadership.

Requirements

Master's or PhD, or equivalent experience, in computer science, engineering, data science, or a related technical field.
12+ years of experience building and operating production systems, including 3+ years with LLM or agent systems.
Track record as a core technical contributor who has shipped multiple LLM-powered applications or agents and owned them in production.
Hands-on experience with skill-based workflows, harnesses, and agent orchestration frameworks.
Expertise in advanced retrieval techniques and deep hands-on expertise designing evaluations and observability for LLM systems.
Strong Python skills and solid engineering fundamentals.
Extensive experience with agentic and adversarial software engineering.
Understanding of LLM security and safety risks.
Practical understanding of networks and operating systems.

Nice To Haves

Ability to influence without authority, align engineers and business leaders on difficult decisions, and set direction across teams.
Experience with NVIDIA's applied AI stack.
Recognized applied AI expertise demonstrated through conference talks, open-source contributions, or published work.
Experience at a large technology company and/or in a finance-adjacent environment.
Depth across fine-tuning and reinforcement learning techniques.

Responsibilities

Develop and own agentic systems end to end, from scoping problems with finance partners through evaluation harnesses, retrieval quality, and production cost and reliability.
Set architecture, shared primitives, patterns, and quality bars for other engineers to build on.
Mentor engineers and represent AI engineering to Finance and NVIDIA leadership.
Test emerging models, agent frameworks, retrieval techniques, and tools; conduct hands-on experiments and make clear build-or-no-build recommendations.
Partner with the model team to leverage, fine-tune, and post-train NVIDIA Nemotron models for finance use cases.