Intern, Construction AI Agent Research

Autodesk

full-time

Posted on: 9/24/2025

Origin: • 🇨🇦 Canada

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Entry Level

GraphQLNeo4jPythonPyTorch

About the role

Design and prototype multimodal AI agents using LLMs, VLMs, and multi-agent frameworks.
Integrate agent protocols to enable interactions between agents and external tools (APIs, databases, resources).
Build a functional AI agent prototype with demos for querying, data analysis, and inter-agent interactions in AEC projects.
Explore graph querying methods and multimodal data to interpret and combine textual, visual, and sensor data from construction sources.
Perform hands-on research on AI agent architectures for construction applications and present results through reports, demos, or academic contributions.
Collaborate with a global team at the intersection of AI, robotics, and construction technology.
Contribute to advancing digital twins, multimodal reasoning, and scalable AI systems for the AEC industry.

Pursuing a Master's or PhD in Computer Science, Machine Learning/AI, Robotics, or a related field, with familiarity in AEC domains.
Strong proficiency in Python and experience with AI frameworks such as LangChain, PyTorch, or similar for building agents and models.
Hands-on experience with LLMs, vision-language models (e.g., GPT-4V, Claude, Gemini), and graph tools (e.g., Neo4j, GraphQL, or similar).
Understanding of multimodal data processing, including techniques for combining textual, visual, and sensor inputs.
Solid grasp of agent protocols (e.g., Model Context Protocol, Agent2Agent Protocol) and experience with external tool integrations (e.g., APIs).
Excellent analytical, problem-solving, and communication skills.
Passion for innovative technology in construction.