NeoGenomics Laboratories is seeking an AI Finance Innovation Intern to help integrate AI into its Finance operations. The intern will develop AI-enabled solutions for various use cases while ensuring integration into existing workflows and maintaining compliance with internal controls.
Develop a working understanding of the Finance workflows associated with each assigned use case, including data sources, process steps, decision points, and current pain points, through direct observation and structured conversations with the team
Review the use case briefs prepared by finance leadership, ask clarifying questions, and align with your manager on scope, success criteria, and delivery milestones before moving into build
Design and build AI-enabled solutions for each assigned use case, applying appropriate tools and techniques to the specific workflow being improved
Ensure each solution is integrated into the team’s active workflow not delivered as a standalone artifact with clear handoffs to the analysts and business partners who will use it day to day
Build with auditability and internal controls in mind from the start; solutions must maintain data integrity, produce reproducible outputs, and meet any SOX compliance requirements applicable to the relevant process
Conduct structured testing against real Finance data and scenarios, identify failure modes, and iterate until the solution performs reliably under conditions the team will actually encounter
Produce clear, complete documentation for each implemented solution, written for who will maintain the solution covering inputs, logic, outputs, known limitations, and step-by-step operating instructions
Maintain a solution log throughout the internship that captures design decisions, iterations, and lessons learned creating an institutional record that survives beyond the internship itself
Partner with the analysts and business partners who will own each solution after your internship ends, ensuring they understand how it works, when to use it, and how to identify when something has gone wrong
Conduct working sessions or training as needed to build comfort and confidence with each solution among the relevant users, addressing questions and concerns directly rather than through written documentation alone
Gather end-user feedback throughout implementation and use it to improve solutions before the internship ends
Present a final summary to finance leadership at the conclusion of the internship, covering what was built, what was adopted, and any recommendations for continued development
Qualification
Required
Currently enrolled in an undergraduate or graduate program in Finance, Accounting, Information Systems, Business Analytics, or a related field
Demonstrated experience building with AI tools in an applied context coursework, independent projects, or prior work experience all count
Ability to work within a defined scope and deliver against milestones in a structured, time-bound environment
Proficiency in Excel and comfort working with financial and quantitative data
Strong communication and interpersonal skills; able to explain how a solution works to someone who did not build it and to earn adoption from business partners who are accustomed to doing things differently
High attention to detail and a personal standard for output quality consistent with a regulated, audit-facing environment
Preferred
Prior internship or work experience in a finance, accounting, or analytical role
Familiarity with internal controls, SOX compliance, or financial data governance in a corporate environment
Experience building solutions that other people use in any context, technical or otherwise
Proficiency in SQL, Python, Tableau or comparable analytical tools
Prior experience writing technical documentation for a non-technical audience
Benefits
Demonstrated history of delivering results you will contribute implemented solutions actively utilized by a publicly traded company, rather than providing only presentation materials or prototypes.
Deep, practical experience with AI implementation inside the governance constraints that enterprise environments impose, including auditability, data integrity, and compliance requirements most early-career professionals never encounter.
Hands-on experience driving adoption the organizational skill of making something new stick which is consistently harder than building the solution itself and consistently more valuable on a resume.
Executive visibility: your final presentation will be delivered to finance leadership, and your work will be evaluated on whether it is still in use after you leave, not on how it looked in a demo.
A substantive portfolio of documented, real-world AI implementations with concrete business context to speak to in future interviews
Our mission: We save lives by improving patient care.