AI Research & Engineering Intern

## About the Team & Role Artificial Intelligence Research & Engineering (AIRE) is responsible for enterprise AI solution implementation and governance across OCC. AIRE evaluates emerging AI capabilities, builds secure and compliant platforms, and partners with business and technology teams to deliver AI-driven solutions that improve operational efficiency and decision-making. Core functions span Generative AI Solutions & Engineering, AI Governance & Risk Management, AI Vendor & Platform Management, and AI Training & Enablement. Currently moving aggressively into agentic AI, leveraging frontier technologies, such as Anthropic's Claude platform and models, to transform how OCC operates, one functional area at a time. This intern will work directly with our engineering team to help design, prototype, and evaluate agentic AI solutions built on frontier platforms. Depending on interests and skill set, contributions could include building and testing AI agent workflows, supporting governance and risk-review processes for new AI use cases, or helping assess vendor/platform capabilities. The intern will gain hands-on exposure to how a leading financial market infrastructure company is operationalizing generative and agentic AI at enterprise scale. ## Job Summary & Responsibilities This intern will join the AI Research & Engineering (AIRE) team and work hands-on building agentic AI solutions using frontier platforms (e.g., Anthropic's Claude models and tooling) to automate and enhance functional areas across OCC. Projects & responsibilities may include: - Agent design & prototyping — Build and iterate on AI agent workflows for a specific OCC functional area, working alongside engineers who own these systems in production. - Platform integration — Integrate agentic solutions with internal data sources and APIs, gaining experience with the same MCP/tool-use patterns our engineers use to connect models to enterprise systems. - Evaluation & testing — Design test cases and evaluation frameworks to measure agent accuracy, reliability, and safety, which is a core ongoing responsibility for AI engineers ensuring solutions are production-ready. - Governance & risk awareness — Partner with the AI Governance & Risk Management functions to understand compliance and risk considerations for deploying AI in a regulated financial environment, a responsibility every AI engineer on the team shares. - Documentation & knowledge sharing — Document agent architectures, prompt designs, and lessons learned, contributing to the team's internal playbooks, mirroring how full-time engineers formalize and scale successful pilots. - Cross-functional collaboration — Work directly with business stakeholders in the target functional area to gather requirements and validate that the agentic solution solves a real operational problem, the same stakeholder-facing skill required in the full-time role.