AI Engineer, Finance Automation Lead

Live Nation Worldwide, Inc.; Chicago (IL); On-site; USD 152,000 - 190,000; Full time

Benefits offered by this job

Health benefits

Concert tickets

Stock options

Parental leave

Tuition reimbursement

Volunteer time off

Job summary

Live Nation Entertainment is seeking a technical leader to transform how our Finance organization operates, automating complex workflows and enabling smarter decision-making at scale. Based within Venue Nation Analytics, you will own AI-powered solutions across the accounting lifecycle, from invoicing to forecast, working with the Data Science team to deploy to production.

This role requires 8+ years of engineering experience, including 3+ years with production LLM-based apps, strong Python/SQL

Qualifications

• Minimum 8+ years engineering experience with 3+ years building production LLM-based apps.
• Strong understanding of finance and accounting concepts.
• Full-stack development with React/Streamlit-like interfaces.
• Proven ability to work independently in ambiguous environments.

Responsibilities

• Build and ship AI-powered solutions across the accounting lifecycle.
• Apply LLMs, RAG, and agentic workflows to real business problems.
• Stand up pilots in development, validate with business users, deploy to production.
• Collaborate with Data Science to apply AI to forecasting and planning workflows.

Skills

Engineering experience

LLM apps

Python

SQL

Full-stack

React/Streamlit

Finance knowledge

Communication

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Finance, Accounting, or related field

Tools

Databricks

ERP integrations

Job description

Live Nation Entertainment is seeking a technical leader to transform how our Finance organization operates, automating complex workflows and enabling smarter decision-making at scale. Based within Venue Nation Analytics, you will own AI-powered solutions across the accounting lifecycle, from invoicing to forecast, working with the Data Science team to deploy to production.

This role requires 8+ years of engineering experience, including 3+ years with production LLM-based apps, strong Python/SQL