AI Data Engineer Intern – Build Scalable AI Pipelines

McKinsey & Company

Chicago (IL)

On-site

USD 122,000 - 125,000

Full time

4 days ago

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Job summary

McKinsey & Company seeks a data-engineering-minded contributor to build foundational data infrastructure powering AI applications using LLMs, retrieval systems, and agentic architectures. You will design scalable pipelines, secure data environments, and prepare data for AI-driven systems in collaboration with cross-functional teams and clients.

You will also translate hypotheses into engineered features, contribute to R&D in AI capabilities, and grow as a technologist by working with experts

Qualifications

Upcoming graduation between December 2026-August 2027 with a degree in an engineering discipline.
Experience in a data-focused role (internships, academic projects acceptable).
Ability to write clean, well-documented code in Python and SQL.
Exposure to data engineering in AI/ML contexts and data platforms.

Responsibilities

Build the foundational data infrastructure powering AI applications leveraging LLMs, retrieval systems, workflows, and agentic architectures.
Design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems in collaboration with cross-functional teams and clients.
Translate hypotheses into engineered features and contribute to R&D for next-generation AI capabilities.