Intern - AI Engineer

Overview

The AI Engineer Intern focuses on researching and developing advanced healthcare informatics, particularly in the realm of emerging Artificial General Intelligence. It is designed to support improvements in healthcare treatment, payment, and operations. The intern will support multiple projects to set up the underlying architecture, such as context layer for data agents, setting up guardrails and governance. *We are currently looking for interns who can start immediately, 12 week internship, and work 40 hours per week.* Responsibilities: Technical Expertise

• SQL fundamentals — comfortable writing queries against structured data, not just describing them
• Exposure to LLM APIs (e.g., OpenAI, Azure OpenAI, Anthropic) and at least tutorial-level familiarity with one orchestration framework (LangChain, LlamaIndex, or similar)
• Git basics — comfortable with branching and reviewing code as part of a team workflow
• Ability to reason about data quality, duplication, and freshness
• Fetch and ingest data from live external sources (APIs and web sources) into a structured pipeline — handling formats, rate limits, and failures, not just calling a pre-built connector
• Design and build the schema and storage layer your pipeline writes to, in collaboration with data engineering
• Build and test AI components — embeddings, retrieval logic, prompts — using established patterns and tools

Communication & Collaboration

• Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
• Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.

Leadership & Management

• Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
• Supports technology project teams by coordinating specific tasks, assisting with day-to-day opera...