Develop and evaluate a real-world AEC design use case, supporting design decisions through a collaborative, multi-agent AI workflow
Iteratively prototype, test, and refine AI-driven workflows, documenting both successes and failures
Build and maintain code repositories, along with clear documentation and compelling visual outputs
Identify and define new use cases and assess industry applicability of developed solutions
Communicate research outcomes through internal presentations at the conclusion of the internship
Contribute to or lead the preparation of a peer-reviewed publication for an external AI and/or AEC conference

Requirements

Currently enrolled in a full-time Master’s or Ph.D. program in AI, Computer Science, Architecture, or a related field, with an expected graduation date of December 2026 or later
Experience with AEC design workflows and design decision-making processes involving competing metrics and trade-offs
Experience developing AI-driven workflows that coordinate multiple reasoning steps or agents to support complex design decisions, simulations, or data-driven processes in the AEC domain
Proficiency in Python, including experience integrating AI workflows with AEC or 3D modeling software

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonAI-driven workflows3D modeling softwaredesign decision-makingprototypingtestingdocumentationdata-driven processesmulti-agent AI workflowcode repositories

Soft Skills

collaborationcommunicationpresentationleadershipresearchproblem-solvingcritical thinkingadaptabilitycreativityattention to detail

Certifications

Master’s degreePh.D.