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 #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon.