Finance AI Engineer

Finance AI Engineer (Finance) Company Description

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive
. As a global leader in robotic-assisted surgery and minimally invasive care
, our technologies-like the da Vinci surgical system and Ion
-have transformed how care is delivered for millions of patients worldwide.

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life.

If you're ready to contribute to something bigger than yourself and help transform the future of healthcare
, you'll find your purpose here.

The Finance AI Engineer designs, builds, and deploys the AI agents, skills, and semantic views that Finance runs on. This is a hands-on engineering role that turns repeatable finance workflows into reusable AI agents on Snowflake Cortex and CoWork, so that finance users can query complex data in natural language and get accurate, trusted answers. The engineer owns technical delivery end-to-end, from first prototype to stable production, and is the quality gate before any output reaches a finance stakeholder.

This role sits at the intersection of AI, data, and finance. The engineer embeds closely with finance teams to understand their needs, translates those needs into working solutions, and guides adoption of what they build. Success depends as much on communication and stakeholder trust as on technical depth, since the professionals who rely on these tools think in terms of financial models and business outcomes, not technical details.

• Design and deploy scalable AI agents that automate repeatable finance workflows using Snowflake Cortex and Co Work
• Build skills that allow non-technical users to complete full finance workflows in a single prompt
• Create and own semantic views in YAML format that encode business context, financial metrics, and table relationships, enabling users to query complex data in plain English and get accurate answers
• Develop and maintain SQL pipelines that feed the semantic views with accurate, up-to-date finance data
• Run evals to measure the accuracy of the agents and refine the semantic views until outputs are reliable for finance users
• Embed closely with finance teams to understand their needs and guide adoption of what you build
• Own technical delivery from first prototype to stable production across multiple finance workloads

• 2-4 years of experience in AI/ML or data science, with hands-on use of agentic coding tools
• Proven experience creating semantic views in YAML format that encode business context, financial metrics, and table relationships (Required)
• Firm grasp of LLMs and how context and prompt engineering influence model behavior and output quality
• Strong working knowledge of Python and SQL
• Excellent communication skills, with the ability to distill complex AI and data topics for non-technical audiences
• Comfortable working directly with finance stakeholders to understand their needs and turn them into working solutions
• Self-directed and able to take a loosely defined problem and drive it to completion with minimal oversight
• This role requires working onsite in our Sunnyvale, CA office Tuesday, Wednesday, and Thursday every week

• Bachelor's degree in Computer Science, Data Science, Mathematics, Finance, Economics, or closely related quantitative field

• Experience supporting or exposure to Finance, FP&A, or Accounting is highly preferred
• Familiarity in Tableau or other BI tools a plus

#We Are Intuitive  #LI-HYBRID #YAML

Due to the nature of our business and the role, please note that…