AI Solutions Co-op (Fall 2026)

MSM is a woman-owned, experiential agency bringing brands to life through strategy, award-winning experience design, and flawless execution for trade shows, events, environments, and customer engagements. We deliver with genuine passion and a commitment to exceeding customer expectations and creating exceptional customer experiences. Our employees support, promote, live, and breathe a service culture, where we:

·         Thrive in a demanding environment

·         Build meaningful relationships

·         Demonstrate a positive attitude and adapt to change

·         Set high standards and strive to exceed

The Role

Help build a private, secure, cloud-based AI assistant that searches and interprets our library of architectural documents (hundreds to thousands of PDF, Word, and Excel files containing both text and 3D rendered images). The assistant must understand the drawings visually, answer in seconds, and learn from new files each month. Built entirely in Microsoft Azure using Azure AI Search and Azure AI services — cloud-first, no on-premises infrastructure, with enterprise security as a core requirement. Google Cloud (Gemini Enterprise / Vertex AI Search) is a viable secondary option using the same overall approach.

Key Responsibilities

• Configure a secure Azure environment (Blob Storage, encryption, private networking, role-based access).
• Build the ingestion pipeline with Azure AI Document Intelligence to extract text, tables, and embedded renderings.
• Create a multimodal Azure AI Search index and connect page images to an Azure OpenAI vision model for visual Q&A.
• Set up automatic incremental indexing so new monthly files are absorbed without reprocessing the library.
• Tune retrieval for fast responses; test accuracy against real drawings; document setup and produce a production recommendation.

Required Skills

• Python (coursework or project experience); comfort with REST APIs and the command line.
• Familiarity with cloud computing, ideally Microsoft Azure or Google Cloud as a secondary option.
• Exposure to AI/ML concepts (LLMs, embeddings, or NLP); strong problem-solving and clear written communication.

Preferred

• Hands-on Azure AI (AI Search, Azure OpenAI, Document Intelligence), RAG or vision models, Entra ID / security concepts, PowerShell / SQL / C#.

What You’ll Gain

• Real production experience on Microsoft Azure and Azure AI services, an end-to-end secure cloud AI solution for your portfolio, and direct mentorship from an experienced solutions architect.