Forward Deployed Engineer - Finance

Details

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 at the intersection of finance functions, data platform teams, and applied AI. The role partners with finance leaders, subject-matter experts, data scientists, data engineers, DevOps engineers, AI citizen developers, knowledge workers, and external vendors to discover high-value opportunities, build trusted solutions, and support the adoption of new ways of working.

This is a hands-on role requiring the ability to move from an ambiguous business problem to a working prototype, a production-ready solution, and sustained adoption. The position combines technical depth, business judgment, program leadership, and teaching skills to enable AI across the Finance organization.

Responsibilities

• Translate complex finance workflows and ambiguous business problems into clear requirements, technical designs, success measures, and delivery plans.
• Guide architecture across data, models, APIs, orchestration, user experience, 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.

Requirements

• Hands-on experience with Python, SQL, and Git, along with Databricks or a comparable cloud data and AI platform.
• Practical experience building and deploying modern AI systems, including large language models, prompt and context design, agents, MCPs, and evaluations.
• Experience integrating applications through APIs across structured and unstructured data.
• Strong product and program judgment, including the ability to create clarity from ambiguity, define an MVP, manage dependencies and risks, and deliver 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.
• BS or MS degree in Data Science, Computer Science, Engineering, Economics, Finance, Business Analytics, or a related field, or equivalent experience.

Preferred Qualifications

• 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, 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 the 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.

Benefits

NVIDIA offers competitive salaries, equity, and a comprehensive benefits package.