• Job Description

  Req#: 561523

  Job Title

  Internship Agentic AI – Fleet Trends & Equipment Diagnostics

  Job Description

  Internship Agentic AI – Fleet Trends & Equipment Diagnostics

  The start date: January - March 2026

  The length: minimum 6 months

  The hours: 40 hours/per week

  It's possible to write a thesis with this internship

  Are you passionate about Agentic AI concepts, data visualization, and building user-friendly analytical tools for real-world industrial applications? Do you want to make a tangible impact on the future of equipment reliability and fleet management? Join us at Philips and contribute to our Agentic AI initiative.

  We're looking for enthusiastic and motivated students to help us advance this critical mission. As an intern or thesis student, you'll gain hands-on experience in interface design and development, data visualization, working with large-scale service data, applying analytical methods, and contributing to high-impact solutions.

  The primary objective of this internship/thesis is to design, develop, and evaluate the core Agentic AI orchestration layer responsible for autonomously translating fleet events and traces data into precise fleet trends and equipment diagnostics.

  
  Your role:

  • Agentic Architecture Design: Design the robust architecture of the Agentic AI orchestration layer, defining its components for data intake, intelligent processing, and diagnostic output (e.g., using LangGraph).

  • Diagnostic Reasoning Engine Development: Develop and integrate the core tools (AI/ML models and logical rules) that enable the orchestration layer to accurately infer specific equipment diagnostics and complex fleet trends.

  • Insights & Evidence Generation: Generate diagnostics with supporting evidence. This includes providing supporting data along with visualizations, e.g. heat-maps, trends, correlations, that make complex insights easy to interpret and act upon.

  
  You're the right fit if:

  • Studying towards your Master degree in engineering, data science, AI, or any computer-related field

  • Previous experience with agentic AI and the ability to work on an orchestration layer for AI agents

  • Attention to details, structured, pro-active and independent working attitude

  • Excellent English verbal and written skills.

  
  How we work together
  We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.

  • Monthly full-time allowance between €500 - €700 gross, depending on educational level and if you would need to relocate to The Netherlands. If you will perform a part-time internship you will receive the allowance pro-rata.

  • Housing compensation, in case of relocating to the vicinity of the office, €300,- net if location is in the vicinity of Amsterdam, €255,- net for all other Philips locations. You need to provide a rental contract of the land lord, and your normal home-work travel distance need to be more than 50 km or travel time (one way trip) need to be more than 1.5 hours.

  • Travel compensation, if you are not eligible for a free public transport card; you will receive max. €192,- net

  • Paid holidays per internship term.

  • The opportunity to buy Philips equipment at our Philips shop

  
  About Philips
  We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.

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• About the company

  Learn more about Philips and how we help improve people’s lives through meaningful innovation in the areas of Healthcare, Consumer Lifestyle and Lighting.

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