AI-Driven Finance Automation Engineer

relx; Dayton (OH); On-site; USD 79,000 - 131,000; Full time

Benefits offered by this job

Annual incentive bonus

Country-specific benefits

Well-being initiatives

Job summary

LexisNexis Legal & Professional in the United States is seeking an AI Automation Engineer to design, build, and deploy AI-enabled automation and data solutions within Finance. You will write code, build integrations, automate workflows, and embed AI capabilities into finance systems to deliver measurable business impact.

This hands-on role requires Python/SQL, API work, and a passion for turning data into insights while collaborating with FP&A teams.

Qualifications

• Hands-on development with Python/SQL or similar languages.
• Experience building automation scripts, data pipelines, or system integrations.
• Experience working with APIs and structured data (JSON/REST).

Responsibilities

• Design, develop, and deploy AI-driven automation solutions for FP&A workflows.
• Write and maintain code to automate monthly reporting production, forecast prep and consolidation, data validation, 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 with appropriate controls.
• Debug, optimize, and enhance existing automation and reporting solutions.
• Embed AI capabilities into structured finance workflows, including variance explanation and anomaly detection.

Skills

Python

SQL

APIs

Analytics

Problem solving

Job description

LexisNexis Legal & Professional in the United States is seeking an AI Automation Engineer to design, build, and deploy AI-enabled automation and data solutions within Finance. You will write code, build integrations, automate workflows, and embed AI capabilities into finance systems to deliver measurable business impact.

This hands-on role requires Python/SQL, API work, and a passion for turning data into insights while collaborating with FP&A teams.