Job DescriptionPrimary Function of Position: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.
Roles and Responsibilities:- Design and deploy scalable AI agents that automate repeatable finance workflows using Snowflake Cortex and CoWork
- 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
QualificationsRequired Skills and Experience- 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
Required Education and Training- Bachelor's degree in Computer Science, Data Science, Mathematics, Finance, Economics, or closely related quantitative field
Preferred Skills and Experience- Experience supporting or exposure to Finance, FP&A, or Accounting is highly preferred
- Familiarity in Tableau or other BI tools a plus
#WeAreIntuitive #LI-HYBRID #YAML
Additional InformationDue to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
This position may be filled at a different job level than listed here depending on
business need and/or on the selected candidate's experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the
candidate's qualifications, consistent with applicable law.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
