AI Engineer Network

As an AI Engineer you will design build and maintain agentic AI solutions that power KPNs move towards autonomous networkscreating intelligent agents that can observe decide and act to optimize performance in real time. You will collaborate closely with business stakeholders (across TDO and CM) domain experts and engineering teams to develop scalable AI solutions and platforms to bring autonomous capabilities reliably into our operational processes.

Key daily responsibilities:

• Build develop and maintain agentic AI systems that enable autonomous network optimization and decision-making (e.g. the disruption broadband agent).
• Make system designs validate software quality check run-time behavior and focus on production ownership.
• Build and maintain scalable AI/ML pipelines with a strong focus on reliability performance and maintainability.
• Define and implement monitoring testing and governance strategies to ensure robustness and compliance of agentic AI solutions in production.
• Collaborate with network domain experts data engineers and software teams to integrate agentic solutions into real-time network environments.
• Translate network objectives into data-driven self-adapting models using reinforcement learning and emerging AI tools.
• Stay up to date on innovations in agentic AI reinforcement learning and telecom network automation.

Qualifications :

You are eager to learn and can adapt quickly both technically and personally. You have strong analytical skills and take ownership of your work. You enjoy working with both technical and non-technical colleagues and can make complex ideas easy to understand.

To be successful in this role you bring:

• A strong background in software engineering (e.g. designing building and operating distributed systems in production).
• Solid experience with Python and/or Java including writing clean testable and maintainable code.
• Hands-on experience applying AI/ML techniques in production not just experimentation (e.g. model deployment monitoring lifecycle management).
• Experience with AI/ML frameworks and the ability to integrate models into larger software systems.
• Understanding of end-to-end AI systems including data pipelines model serving monitoring and feedback loops.
• Familiarity with cloud-native architectures (e.g. containerization CI/CD scalable services) and building reliable platforms.
• Interest in reinforcement-learning and agentic AI actively exploring emerging frameworks and research to advance to autonomous solutions. 
• Work Location Schedule:
  Monday: Amsterdam
  Tuesday: Amersfoort (mandatory)
  Wednesday: Amsterdam (mandatory)
  Thursday: Amsterdam
  Friday: Client office

Additional Information :

As an employer we have a lot to offer you. Heres what you get from us:

• A gross monthly salary starting from 5.190- to a maximum of 7.803- depending on your work experience based on a 40-hour workweek.
• A guaranteed 13th-month salary: part of it is paid out monthly and part in January of the following year. Or you can allocate it towards a FLEX & BOOST goal of your choice! Click here to learn more.
• Annual individual and collective salary increases according to our collective labor agreement (CAO).
• 1500 per year in a personal development budget that you can use at your discretion for training coaching or courses.
• Flexible leave days: our employees can (in consultation with their manager) decide how they want to handle their leave.
• A healthy work-life balance with 2 days in the office and 3 days working from home transition leave and the option to swap holidays for ones that align with your religious or cultural preferences.
• A home office setup workshop to optimize your remote workspace including a mobile phone and laptop.
• 50% discount on our products and services so you can enjoy affordable internet calls and streaming.
• Excellent travel reimbursement: full coverage for public transport or 0.23 per kilometer if you travel by car. Prefer cycling You can receive 0.40 per kilometer.
• The option to purchase a lease bike co-funded by KPN (with a permanent contract): whether its a city bike e-bike racing bike or speed pedelec you get to choose.
• Outstanding pension benefits: a total contribution of 23% of your pensionable salary with KPN contributing 16% and you contributing 7%.

Would you like to learn more Feel free to contact our recruiters Martijn Schaap via E-mail at

At KPN we have recruitment talent that collaborates smartly and wins together. Unsolicited acquisition regarding this vacancy is not appreciated.

Remote Work :

No

Employment Type :

Full-time