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Finance-Focused AI Engineer
Virtual Vocations Inc
1 hour ago
Full-time
On-site
East New York, New York, United States
Working remotely, the full-time Finance-Focused AI Engineer will develop AI-powered tools to enhance financial analysis and streamline close activities, collaborating closely with finance stakeholders to deliver practical solutions that improve efficiency and decision-making.
Key responsibilities
Build AI-assisted solutions for variance commentary and close-checklists that generate insights from financial data Develop experiences using Databricks and governed finance data to facilitate natural language exploration for analysts Collaborate with FP&A Analysts to create tools that enhance financial decision-making and measure solution adoption and productivity gains
Required qualifications
Bachelor's degree in Finance, Accounting, Computer Science, Information Systems, Engineering, or a related field, or equivalent experience 2+ years of hands-on experience with Databricks and building data-driven solutions 2+ years of experience in LLM application engineering, including prompt and context engineering 2+ years of experience using Python with full-stack development skills for production-ready applications 2+ years of experience working closely with Finance teams, with knowledge of FP&A processes and financial reporting
Build AI-assisted solutions for variance commentary and close-checklists that generate insights from financial data Develop experiences using Databricks and governed finance data to facilitate natural language exploration for analysts Collaborate with FP&A Analysts to create tools that enhance financial decision-making and measure solution adoption and productivity gains
Required qualifications
Bachelor's degree in Finance, Accounting, Computer Science, Information Systems, Engineering, or a related field, or equivalent experience 2+ years of hands-on experience with Databricks and building data-driven solutions 2+ years of experience in LLM application engineering, including prompt and context engineering 2+ years of experience using Python with full-stack development skills for production-ready applications 2+ years of experience working closely with Finance teams, with knowledge of FP&A processes and financial reporting