AI Engineer - Network

JobsCloseBy Editorial Insights

KPN is hiring an AI Engineer in Network to design and operate agentic AI solutions for autonomous networks. You’ll collaborate with stakeholders and software teams to build scalable AI/ML pipelines, ensure production quality, monitor performance and deploy reinforcement learning driven agents in real time. The role demands strong software engineering, Python or Java, production ML deployment, and cloud native architectures with end to end AI systems from data pipelines to model serving. Salary ranges from €5,190 to €7,803 monthly plus a guaranteed 13th month, a €1,500 development budget, and hybrid work with Tue Amersfoort and Wed Amsterdam in person; apply via [email protected]. Tailor your CV to show production ML projects and cross functional collaboration, and express curiosity for agentic AI.

Company Description

About KPN and Network Services: KPN harnesses technology to securely connect everyone in the Netherlands to a sustainable future. The Network Services unit within B2CS maintains a high-performance network and leads AI-driven innovation, paving the way to a fully autonomous network.

Our agentic AI & Data department: tasked with realizing a fully autonomous network. Positioned at the forefront of network and service transformation, we build, configure and operate agentic AI solutions to deliver faster resolution, higher reliability and a step-change in customer experience across network and service domains. We are currently working on the Broadband Disruption Agent (DBA), expanding to On-Site Technician Support (OTS) agent for the mechanics, and moving into more production-grade solutions in our Agentic platform.

We are a young, international team with a strong learning mindset, combining deep technical expertise with enthusiasm for building real-world autonomous AI solutions.

Job Description

As an AI Engineer, you will design, build and maintain agentic AI solutions that power KPN’s move towards autonomous networks—creating 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. Here’s 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).
• € 1,500 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 it’s 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 [email protected]

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