AI Operations Engineer – Finance

AI Operations Engineer

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. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is hiring 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 us implement Nvidia-on-Nvidia AI solutions, and prevent unexpected behavior in deployed models from reaching business stakeholders.

What You'll Be Doing:

• 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.

What We Need To See:

• 5+ years of experience in AI-adjacent areas (ML ops, NLP, or related roles), with at least 2 years applying gen 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 corp / 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 From The Crowd:

• Subject matter expertise in corporate finance, ops finance, and/or adjacent areas.
• GenAI 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.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, ambitious and enjoy having fun, then what are you waiting for apply today!

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.

Applications for this job will be accepted at least until September 30, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.