Year-Round Intern, AI Research & Engineering

About the Role

• Year-round intern (1,000 hours max, January 2027–December 2027)
• Hybrid work environment
• Internship type: Year-round intern
• Location: Chicago

About the Team & Role

The Artificial Intelligence Research & Engineering (AIRE) team implements and governs enterprise AI solutions. The team evaluates emerging AI capabilities, builds secure platforms, and partners with other teams to deliver AI-driven solutions. Core functions include Generative AI Solutions & Engineering, AI Governance & Risk Management, AI Vendor & Platform Management, and AI Training & Enablement. The team is actively developing agentic AI solutions using frontier technologies like Anthropic's Claude platform.

This intern will work directly with the engineering team to design, prototype, and evaluate agentic AI solutions built on frontier platforms. Potential contributions include building and testing AI agent workflows, supporting governance and risk-review processes for new AI use cases, or assessing vendor/platform capabilities. The intern will gain hands-on exposure to operationalizing generative and agentic AI at an enterprise scale within a financial market infrastructure company.

Key Responsibilities

• Agent design & prototyping: Build and iterate on AI agent workflows for specific OCC functional areas.
• Platform integration: Integrate agentic solutions with internal data sources and APIs using MCP/tool-use patterns.
• Evaluation & testing: Design test cases and evaluation frameworks to measure agent accuracy, reliability, and safety.
• Governance & risk awareness: Understand compliance and risk considerations for deploying AI in a regulated financial environment.
• Documentation & knowledge sharing: Document agent architectures, prompt designs, and lessons learned.
• Cross-functional collaboration: Work with business stakeholders to gather requirements and validate solutions.

Requirements & Tech Stack

• Rising senior or second-year graduate student, graduating December 2027 or May/August 2028.
• Desired Majors: Computer Science, Data Science, Statistics, Applied Mathematics / Mathematics, Engineering, Physics, Machine Learning, Financial Engineering / Financial Mathematics, Economics.
• Solid programming skills in Python (most common) and/or SQL, Java, C++, or R.
• Coursework or project experience in machine learning, AI, or data science.
• Exposure to AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Interest or experience in generative AI — LLMs, prompt engineering, or agentic systems.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Experience with data pipelines or data engineering tools (Spark, Databricks, etc.).
• Strong analytical thinking and ability to communicate technical work clearly.
• Curiosity, initiative, and a strong foundation for quick learning.
• Strong academic performance (GPA 3.5+ preferred).
• Demonstrated initiative (independent projects, research, hackathons, or startup experience beyond coursework).
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Comfort working cross-functionally with business, risk, and technology teams.
• Strong problem-solving skills and a self-directed approach to learning new tools/technologies.
• Interest in financial services, market infrastructure, or regulated industries is a plus.
• Familiarity with Agile/collaborative development practices (version control, code reviews, sprint-based work).

Qualifications

• Interns are eligible only for paid sick leave accrued based on hours worked. No other benefits apply.