AI Operations Engineer – Finance

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology — and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is encouraged to do their best work.

You will be an AI operations engineer within the Finance AI and Data Science team. You will work alongside data scientists, data engineers, AI developers, finance, IT, and other business partners enabling robust agentic systems supporting our finance organization. Your work will ensure continued best-in-class accuracy of production agents, automate assessment of citizen-developed models, help implement Nvidia-on-Nvidia AI solutions, and prevent unexpected behavior in deployed models from reaching business stakeholders.

Responsibilities

• Leverage AI, automation, and business knowledge to systematically assess bot & agent answer quality, flagging potentially incorrect or incomplete answers for human review.
• Create robust evaluation data sets and data flywheels based on finance feedback, business priorities, and knowledge bases.
• Monitor & optimize AI systems using observability stacks to track model performance, system health, and lifecycle metrics.
• Build continuous evaluation pipelines to measure production model outputs, accuracy, and confidence distributions.

Requirements

• 5+ years of experience in AI-adjacent areas (MLOps, NLP, or related roles), with at least 2 years applying generative AI to business problems.
• BS/MS or equivalent experience in Data Science, Computer Science, Information Systems, Software Engineering, Economics, or other technical fields. Technical Master’s with corporate/ops finance or business background is preferred.
• Experience working with production AI applications, including monitoring, tracing, logging, performance evaluation, and data flywheels.
• Hands-on expertise in model evaluation frameworks, including LLM-as-a-judge and human-in-the-loop review workflows.
• Excellent communication to work with business partners, IT, internal development teams, and senior management.

Ways to stand out

• Subject matter expertise in corporate finance, ops finance, and/or adjacent areas.
• Generative AI expertise including prompt optimization, vector databases, RAG pipeline implementation, mixture-of-experts, and MCP. Deep understanding of integrating generative technology into deterministic systems.
• Experience with complex multi-agentic systems.
• Experience implementing secure authentication and authorization systems for AI services with role-based access controls.
• Teaching or mentoring experience in technical domains, enthusiasm for exploring and implementing new technologies, and creative problem-solving skills.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits.

Additional information

• Applications for this job will be accepted at least until September 30, 2025.
• NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. NVIDIA does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.