AI Operations Engineer – Finance

Details

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 the 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 datasets and data flywheels based on finance feedback, business priorities, and knowledge bases.
• Monitor and 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 skills to work with business partners, IT, internal development teams, and senior management.

Ways to Stand Out

• Subject matter expertise in corporate finance, operations 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 (RBAC).
• Teaching or mentoring experience in technical domains, enthusiasm for exploring and implementing new technologies, and creative problem-solving skills.

Compensation & Benefits

• Base salary ranges (determined by location, experience, and comparable pay):
  • Level 3: 152,000 USD - 230,000 USD
  • Level 4: 168,000 USD - 264,500 USD
• Eligible for equity and benefits (see NVIDIA benefits page).

Additional Information

• Applications accepted at least until September 30, 2025.
• NVIDIA is an equal opportunity employer and values diversity in its workforce.