AI Forward Deployed Engineer - Finance-focused (US)

Worldwide Clinical Trials•Durham, NC

1d•$121,500 - $240,500•Remote

About The Position

This role focuses on transforming how Finance teams operate by developing AI-powered tools. The goal is to provide finance analysts with more time by creating practical solutions that accelerate close activities, enhance financial analysis, and improve access to and understanding of financial data. The position is at the intersection of finance, data, and AI, developing tools for variance commentary, financial planning and analysis, and close processes, while adhering to strong governance and compliance standards. The work aims to enable finance professionals to concentrate on higher-value analysis and decision-making. This is an opportunity for individuals with a blend of finance expertise and software engineering skills who are adept at solving complex business challenges using modern data and AI technologies.

Requirements

Bachelor's degree in Finance, Accounting, Computer Science, Information Systems, Engineering, or a related field, or equivalent relevant experience.
2+ years of hands-on experience with Databricks and building data-driven solutions.
2+ years of LLM application engineering experience, including prompt engineering, context engineering, retrieval, structured outputs, and evaluation.
2+ years of experience using Python and sufficient full-stack development skills to deliver production-ready applications.
2+ years of experience working within or closely alongside Finance teams, with knowledge of FP&A processes, monthly close activities, budgeting, forecasting, variance analysis, and revenue recognition fundamentals.
Experience working with finance systems and governed financial data, including platforms such as NetSuite, Certinia, and Workday Adaptive Planning.
Proficiency in English

Nice To Haves

Familiarity with Microsoft 365 and Copilot, MLflow, Databricks Vector Search, Databricks Genie, Genie Code, and/or GenieOne
CRO or pharma-services experience
SOX exposure

Responsibilities

Build AI-assisted variance commentary and close-checklist solutions that generate draft insights from financial data and identify key business drivers.
Develop experiences using Databricks Genie and governed finance data to enable analysts to explore information through natural language.
Partner with FP&A Analysts and Project Financial Analysts to deliver tools that improve efficiency and enhance financial decision-making.
Measure and report solution adoption, usage, and productivity gains to demonstrate business impact.
Create assistive reconciliation capabilities that support finance teams while preserving human ownership of controls and approvals.
Design and deliver AI-enabled applications using Databricks, Python, and modern LLM technologies.
Ensure solutions align with governance requirements by maintaining clear separation between AI-generated recommendations and financial control activities.
Collaborate with finance stakeholders to understand processes, close cycles, planning activities, and reporting needs.