Accounting AI Transformation Internship

Internship Overview

You won't be running coffee orders or shuffling paperwork this summer. At Fervo, interns are handed something real: a project of your own, scoped with your manager on day one and yours to drive for the full 12 weeks. You'll work side-by-side with the teams building the next generation of geothermal energy, tackling problems that genuinely move the business forward. At the end of the summer, you'll present your work to our executive leadership team, department leads, and fellow interns, sharing real results with a real audience. This is a real seat at the table — and a real shot at what comes next.

Position Description

Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale. Our flagship Cape Station project in Milford, Utah is one of the largest next-generation geothermal developments in the world, and our Houston headquarters houses the engineering, commercial, and corporate teams driving Fervo's growth. This role sits at the intersection of accounting and automation — you'll work alongside Accounting and AI teams to identify manual, repetitive accounting workflows and help prototype ways to streamline them using automation and AI tools.

Requirements

Responsibilities

• Partner with the Accounting team to map current manual workflows (invoice processing, reconciliations, reporting)
• Identify candidate processes for automation or AI-assisted tooling
• Build lightweight prototypes or proofs-of-concept (e.g., Excel/Python scripts, GenAI-assisted workflows)
• Document current-state and future-state processes for stakeholder review
• Support pilot testing and rollout of approved automation solutions

Required Qualifications

• Rising Junior, Senior, Master's/MBA candidate wrapping up within the next year, or PhD candidate — we're building a pipeline toward full-time offers
• Pursuing a degree in Accounting, Finance, MIS, Computer Science, or Data Analytics
• Strong written and verbal communication skills, including comfort presenting to stakeholders and leadership
• Eagerness to learn, take initiative, and adapt quickly to new challenges
• Curious about AI and automation, with hands-on experience using tools like ChatGPT, Claude, Copilot, or Gemini

Preferred Qualifications

• Experience with energy systems, industrial operations, or geoscience applications
• Prior experience with RAG architectures, data engineering, or scalable model deployment