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# Finance Systems AI/Automation Engineer

- **Company:** RELX Group plc
- **Location:** Raleigh, NC, United States
- **Salary:** $78,800.0 - $131,300.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Validation, Extract Transform Load (ETL), Data Systems, Software Debugging, JSON, Python (Programming Language), SQL Databases, Systems Integration, Enterprise Data Management, Cloud Platform System, AI Platforms, Tools for Reporting, Api Design, Software Coding, Restful APIs, Data Pipelines, Programming Languages
- **Published:** August 23, 2026
- **Apply:** https://dejobs.org/x/x/1F15FA74ACF04E479B3FCA1FF238E080/job/

## About the Role

* Hands-on development experience with Python, SQL, or similar programming languages.
 * Experience building automation scripts, data pipelines, or system integrations.
 * Experience working with APIs and structured data, including JSON and REST services.
 * Demonstrated ability to independently design and implement technical solutions.
 * Experience working within or closely supporting Finance, including FP&A, financial systems, or commercial finance environments.
 * Strong analytical and problem-solving capability.
 * Ability to debug and support production automation solutions.
 * Experience embedding AI or advanced analytics into operational workflows.
 * Familiarity with finance systems, cloud-based platforms, and enterprise data environments.

## Description

As an AI Automation Engineer, you will design, build, and deploy AI-enabled automation and data solutions within Commercial and Corporate Finance. This is a hands-on engineering role focused on writing code, building integrations, automating workflows, and embedding AI capabilities directly into finance systems and reporting processes. You will deliver production-ready solutions that reduce manual effort, improve data quality, and accelerate insight generation.

Responsibilities

 * Design, develop, and deploy AI-driven automation solutions for FP&A workflows.
 * Write and maintain code to automate monthly reporting production, forecast preparation and consolidation, data validation and quality controls, and first-draft financial analysis.
 * Build and maintain data pipelines to extract, transform, and load finance data between systems.
 * Develop integrations using APIs to connect finance systems, reporting tools, and AI services.
 * Prototype solutions quickly and move them into production environments with appropriate controls.
 * Debug, optimize, and enhance existing automation and reporting solutions.
 * Embed AI capabilities into structured finance workflows, including variance explanation support, automated commentary generation, and anomaly detection.
 * Take ownership of the full solution lifecycle from concept through design, build, test, deployment, and ongoing maintenance.


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