Generative AI Field Application Engineer Intern

Responsibilities

• Participate in the development and deployment of Generative AI use cases to improve engineering productivity, knowledge management, and business workflow automation.
• Design and implement AI-powered solutions using Microsoft Copilot, Copilot Studio, Glean, Vero, Power Automate, SharePoint and other enterprise AI platforms.
• Build and maintain internal knowledge assistants, AI agents, and document retrieval systems for engineering, sales, and customer support teams.
• Develop workflows for automated information collection, report generation, knowledge extraction, and data analysis from enterprise data sources.
• Create Proof-of-Concept (PoC) projects for AI-driven engineering use cases including technical knowledge search, customer visit report summarization, project tracking, and task automation.
• Evaluate and benchmark different AI tools, prompt engineering techniques, and agent architectures to improve solution quality and user experience.
• Collaborate with engineering, field application engineering (FAE), and digital transformation teams to identify and implement new GenAI opportunities.
• Document use cases, workflows, best practices, and technical implementation guides for internal adoption.

Requirements

• Master or Bachelor student in Computer Science, Software Engineering, Electronic Engineering, Artificial Intelligence, Data Science, Information Systems, or relevant disciplines.
• Strong interest in Generative AI, Large Language Models (LLM), AI Agents, and enterprise AI applications.
• Familiar with Python programming and basic software development practices.
• Familiar with one or more AI frameworks or platforms such as OpenAI API, Azure AI Services, Microsoft Copilot, Copilot Studio, LangChain, Semantic Kernel, or similar technologies.
• Understanding of Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, or knowledge management concepts is a plus.
• Familiar with Microsoft 365 ecosystem including SharePoint, Teams, Power Automate, Power Apps, or Power BI is a plus.
• Experience with web development, data visualization, workflow automation, or chatbot development is a plus.
• Strong analytical thinking and problem-solving skills.
• Good communication skills and teamwork for cross-functional and global collaboration.
• Good English reading and writing skills.

Preferred Qualifications

• Experience with AI agent development, chatbot implementation, or LLM-based applications.
• Experience with Glean, Vero, Microsoft Copilot, Copilot Studio, Power Platform, or similar enterprise AI tools.
• Experience with enterprise search, knowledge management systems, or document intelligence solutions.
• Contributions to open-source projects, hackathons, research projects, or AI-related publications are highly appreciated.