AI Enablement Intern at Providence Equity Partners in New York, NY

Summary: Providence Equity Partners is a leading middle-market private equity firm focused on media, communications, and education. The AI Enablement Intern will support AI adoption across internal teams and portfolio companies by building practical AI solutions, collaborating with various teams to improve workflows and decision-making. Responsibilities: - Build and maintain a curated library of prompts, custom GPTs, agents, and repeatable automations for internal use - Act as a technical partner to internal AI champions: assess feasibility, define data requirements, build prototypes, and help scale what's working - Support team AI fluency through hands-on demos and practical guidance - Collaborate with the investment team to identify and build AI tools that accelerate deal workflows — including sourcing, screening, diligence, and investment memo preparation - Scope and implement other AI/ML solutions that improve the quality and consistency of investment decision-making across the deal lifecycle - Improve internal data collection and knowledge management processes to enable more effective AI applications - Prototype tools to automate recurring analyses, dashboards, and reporting outputs - Work with the technology team where deeper integrations are needed - Identify practical AI opportunities within portfolio companies, with a focus on revenue growth, cost optimization, and operational efficiency - Support evaluation of portfolio company AI adoption and impact - Help develop content for AI-focused portfolio initiatives and knowledge-sharing sessions - Handle ad hoc requests as they arise Required Qualifications: - 1-3 years of relevant experience or currently pursuing a graduate degree in Finance, Economics, Computer Science, Engineering, Data Science, or a related field - Hands-on track record building with AI tools (e.g., prompt engineering, workflow automation, agents, custom GPTs, or similar) - Foundational knowledge of accounting, corporate finance, and valuation concepts - Experience building financial models in Excel - Data engineering literacy: Able to define data sources, schema requirements, and API inputs/outputs needed to build solutions - Proactive approach to proposing use cases and developing solutions with limited direction - Strong collaborator able to work effectively across portfolio operations, investment, and technology teams, and translate between business needs and technical requirements - Demonstrated ability to synthesize large volumes of information and translate insights into clear, structured outputs - High attention to detail and strong quality control mindset - Ability to manage multiple workstreams in a fast-paced, deadline-driven environment - Intellectual curiosity and a genuine interest in private equity, investing, and applied AI within financial services Required Skills: AI tools experience, Data engineering literacy, Financial modeling in Excel Important Skills: Prompt engineering, Workflow automation Nice-to-Have Skills: Intellectual curiosity, Collaboration skills