Forward Deployed Engineer - Finance

NVIDIA•Santa Clara, CA

2d•$116,000 - $230,000

About The Position

NVIDIA Finance is hiring a Forward Deployed Engineer and AI enabling expert to help turn AI potential into measurable business outcomes. Embedded within the Finance AI team, this role works across finance functions, data platform teams, and applied AI. The engineer partners with finance leaders, subject-matter experts, data scientists and engineers, DevOps engineers, AI citizen developers, knowledge workers, and external vendors to discover high-value opportunities, build trusted solutions, and help teams adopt new ways of working. This hands-on role moves from ambiguous business problems to working prototypes, production-ready solutions, and sustained adoption. It combines technical depth, business judgment, program leadership, and the ability to teach in order to enable AI across NVIDIA Finance.

Requirements

Hands-on experience with Python, SQL, and Git, and Databricks or a comparable cloud data and AI platform.
Practical experience building and deploying modern AI, including LLMs, prompt and context design, agents, MCPs, and evaluations.
Experience integrating applications via APIs across structured and unstructured data.
Strong product and program judgment, including creating clarity from ambiguity, defining an MVP, managing dependencies and risk, and delivering iteratively.
Working knowledge of responsible AI, privacy, security, and governance.
Excellent communication skills, including the ability to teach technical concepts to nontechnical audiences and influence across functions without formal authority.
At least 3 years of experience in computer science, data science or engineering, analytics, automation, or applied AI.
A BS or MS degree in Data Science, Computer Science, Engineering, Economics, Finance, Business Analytics, or a related field, or equivalent experience.

Nice To Haves

Applied AI, automation, or advanced analytics experience in tax, corporate development, treasury, venture capital, financial services, procurement, audit, or related areas.
Experience designing agentic workflows and securely connecting models to enterprise systems such as SAP, SFDC, or Workday.
Experience building communities of practice and teaching varied technical audiences, and using feedback and adoption data to improve enablement.
Experience in a large, global technology company or another complex, high-growth environment.
A collaborative, customer-focused approach and demonstrated ability to influence across functions without formal authority.
Curiosity, sound judgment, and a bias toward learning through experimentation while maintaining high standards for quality and trust.

Responsibilities

Translate complex finance workflows and ambiguous business problems into requirements, technical designs, success measures, and delivery plans; guide architecture across data, models, APIs, orchestration, UX, and human-in-the-loop controls.
Prototype and productionize AI solutions, including agents, retrieval-augmented generation, workflow automation, analytics, and machine learning applications.
Partner with data owners and platform teams to securely integrate structured and unstructured data, establish access controls, and improve data quality and lineage.
Lead technically and organizationally complex initiatives from discovery through launch, balancing experimentation with enterprise scale, security, governance, and maintainability.
Build reusable reference architectures, patterns, and enablement assets.
Communicate recommendations, tradeoffs, and results to finance operators, executives, and engineers.
Help finance teams adopt new ways of working and enable AI across the Finance organization.