Internship – Agentic AI to Boost Operation Support

The student will be involved in exploring and designing Agentic AI solutions to support Fab Key Users in incident troubleshooting and resolution. This includes applying Artificial Intelligence and Machine Learning Operations (MLOps) techniques and tools to enhance automated troubleshooting through Large Language Models (LLMs) that interact with self-defined knowledge repositories, create and maintain integrated knowledge bases with up-to-date information, and leverage real-time data together with historical incident resolutions to improve troubleshooting effectiveness. The solution will provide users with detailed symptom analysis and recommended resolutions while escalating complex issues to human support when necessary. In addition, the student will leverage Generative AI to automate the extraction of critical failure insights from 8D reports and generate comprehensive, high-fidelity test cases that validate the effectiveness of implemented solutions against identified root causes, architectural gaps, and systemic failures, thereby minimizing the risk of recurring production issues. The student will also contribute to scaling AI-driven document intelligence capabilities to perform deep semantic analysis of 8D (Eight Disciplines) problem-solving reports by identifying technical, systemic, and escapee root causes, analyzing integration-layer workflows, reconstructing the sequence of failure events, and autonomously generating detailed test cases to verify the robustness of corrective actions and ensure the long-term effectiveness of implemented solutions.

Your Role

Key responsibilities in your new role

• AI and MLOps Development: Design and implement AI agents using system design thinking and MLOps methodologies
• Incident Automation: Develop self-remediation workflows to automate incident troubleshooting and resolution
• Digital User Support: Build conversational AI solutions to assist users with service-related inquiries
• Knowledge Management: Maintain accurate and up-to-date information repositories for troubleshooting
• Machine Learning Analytics: Apply machine learning techniques to identify patterns in operational and incident data

Internship Learning Outcomes

• System Design Thinking: Apply structured problem-solving approaches to AI solution development
• IT Service Management: Gain knowledge of incident and problem management processes and tools
• Generative AI Technologies: Develop hands-on experience with GenAI, ChatGPT, NLP, LLMs, and RAG frameworks
• Cross-Functional Collaboration: Work with service desk, factory users, and operational support teams across locations

Your Profile

Qualifications and skills to help you succeed

• Educational Background: Pursuing a Bachelor's degree in Electrical Engineering, Electronic Engineering, Mechanical Engineering, or Computer Engineering
• Analytical Mindset: Demonstrate strong analytical thinking and problem-solving capabilities
• Programming Knowledge: Possess foundational skills in Python, R, NLP, LLMs, and ChatGPT technologies
• System Design Exposure: Familiarity with system design thinking concepts is an advantage
• Preferred Internship Period: Jan 27 - Jun 27

Contact:
Hillary Woo

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