Finance AI Engineer

📋 Description

• Design and deploy scalable AI agents that automate repeatable finance workflows using Snowflake
• 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
• Develop and maintain SQL pipelines that feed the semantic views with accurate, up-to-date finance
• Run evals to measure the accuracy of the agents and refine the semantic views until outputs are
• Embed closely with finance teams to understand their needs and guide adoption of what you build

🎯 Requirements

• Minimum 2 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
• Firm grasp of LLMs and how context and prompt engineering influence model behavior and output
• Strong working knowledge of Python and SQL
• Excellent communication skills, with the ability to distill complex AI and data topics for
• Comfortable working directly with finance stakeholders to understand their needs and turn them into

🎁 Benefits

• Market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity