Solution Designer Agentic AI

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Solution Designer Agentic AI

  • Engineering
  • Amsterdam
  • Medior
  • WO
  • Engineering
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Highlights

  • A €1,500 training budget per year, which can also be used for tuition fees.
  • A gross monthly salary between €5742,- and €8865,- depending on classification and work experience.
  • A fixed 13th-month salary and 8% holiday allowance.
Vacancy overview

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Solution Designer Agentic AI

Your role as Solution Designer Agentic AI

As the Solution Designer Agentic AI, you’ll design and deliver (Agentic) AI solutions alongside our AI engineers power KPN’s autonomous networks – creating intelligent agents that observe, decide, and act to optimize performance in real time. Collaborating with business stakeholders, domain experts, and engineering teams, you’ll design and maintain scalable AI pipelines that bring these capabilities into production and shape the future of self-managing networks.

Key daily responsibilities:

  • Translate the Solution Architect’s vision into detailed Agentic AI (technical and functional) designs, including multi-agent systems and reinforcement learning to drive autonomous network optimization and intelligent decision-making.
  • Develop functional and technical AI algorithms, analytics models, and machine learning systems tailored to operational domains, ensuring alignment with business-critical use cases.
  • Design scalable AI/ML pipelines with emphasis on reliability, performance, and maintainability.
  • Ensure production-grade robustness and compliance by designing resilient (Agentic) AI solutions that meet enterprise security and governance standards.
  • Collaborate cross-functionally with enterprise architects, solution architects, network specialists, data engineers, and AI engineers to deliver integrated, end-to-end (Agentic) AI network solutions.
  • Translate strategic network goals into adaptive, data-driven models powered by reinforcement learning and emerging (Agentic) AI technologies.
  • Continuously monitor and assimilate advancements in (Agentic) AI, reinforcement learning, and network automation to enhance innovation within the solution landscape.
More about your position

This is your team

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

Our Agentic AI and Data department: tasked with realizing a fully autonomous network, our Agentic AI and Data team stands at the leading edge of network transformation. We build, configure and operate (Agentic) AI solutions that optimize assurance, fulfillment, and inventory processes – ensuring network reliability, efficiency, and future readiness.

All benefits

What will you bring us?

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 minimum of 5 years of professional experience, of which at least 3 in the field of Artificial Intelligence, Machine learning, Autonomous Networks, or a closely related technical discipline.
  • A master’s degree in a relevant technical field such as Artificial Intelligence, Computer Science, Econometrics, Operations Research, Mathematics, or a comparable area of study.
  • Proven ability to collaborate effectively with stakeholders across technical and business domains, translating strategic objectives and operational needs into impactful Agentic AI solutions and implementations.
  • Demonstrated ability to develop custom AI and machine learning models from scratch, including data preparation, model selection, training, validation, and optimization for real-world deployment.
  • Proven experience of designing and delivering production-grade AI/ML solutions that translate complex algorithms into measurable business value.
  • Well-versed in software engineering methodologies and best practices – encompassing coding standards, code reviews, version control, CI/CD pipelines, automated testing, and security protocols.
  • Proficiency in Python and/or Java, with hands-on experience using AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and data-processing frameworks.
  • Experience designing and implementing RESTful APIs and deploying microservices using Docker, Kubernetes, and related container-orchestration techniques.
  • Demonstrated ability to guide and coordinate AI Engineers throughout the build and implementation phases, ensuring technical designs are accurately translated into scalable, high-performance solutions.
  • Interest in reinforcement-learning and agentic AI, actively exploring emerging frameworks and research to advance to autonomous solutions.
All requirements

What will you get from us

Natuurlijk hebben we als werkgever jou ook veel te bieden. Dit krijg je van ons:

  • Een bruto maandsalaris van minimaal € 5.742,- en maximaal € 8.865,- afhankelijk van je werkervaring, op basis van 40 uur
  • Vaste 13e maand, een deel krijg je maandelijks uitbetaald en een deel in januari van het volgende jaar. Óf je zet het in voor een FLEX & BOOST doel naar keuze! Klik hier om er meer over te lezen
  • Jaarlijks een individuele en collectieve verhoging conform onze CAO
  • € 1500 per jaar aan inzetbaarheidsbudget dat je naar eigen inzicht mag gebruiken voor bijvoorbeeld trainingen, coaching en cursussen
  • Flexibele vrije dagen: onze collega’s mogen zelf (in samenspraak met de manager) bepalen hoe zij met verlof omgaan
  • Een goede werk-privé balans (zoals 2 dagen kantoor, 3 dagen thuis, transitieverlof, feestdagwissel naar een feestdag van jouw religieuze of culturele voorkeur)
  • Thuiswerkshop om je werkplek thuis optimaal in te kunnen richten, uiteraard met een mobiele telefoon & laptop
  • 50% korting op onze producten en diensten, zodat je voordelig kunt internetten, bellen én streamen
  • Goede reiskostenvergoeding: je krijgt je OV kosten volledig vergoed of € 0,23 per kilometer als je met de auto reist. Kom je liever op de fiets? Dan kun je aanspraak maken op onze fietsvergoeding € 0,40 per kilometer
  • Mogelijkheid tot het aanschaffen van een leasefiets waar KPN maandelijks aan meebetaalt (bij onbepaalde tijd contract): Van stadsfiets tot e-bike en van racefiets tot speed-pedelec; jij kiest waar je op fietst
  • Uitstekende pensioenvoorwaarden: een totale inleg van 23% van je pensioengevende salaris waarvan KPN 16% inlegt en jij 7%

Ons geloof in technologie is groot. Dit wordt nóg krachtiger samen met menselijk contact, daarom ontmoeten we je graag!

Wil je meer weten? Neem contact op met onze recruiter Maggie Kramar via 06 21 90 46 51 maggie.kramar@kpn.com

 

Bij KPN hebben we recruitmenttalent dat slim samenwerkt en zo wint. Daarom wordt acquisitie naar aanleiding van deze vacature niet gewaardeerd.

All benefits

What happens after you apply?

You apply
01

You apply

Is this job opening your dream job? Thank you for applying. We will receive your application and contact you soon.

Phone call
02

Phone call

We'd like to get to know you better. We'll schedule an initial meeting. One of our recruiters will contact you by phone.

Second interview
03

Second interview

Both sides still satisfied? Then a second interview will be scheduled.

Welcome to the team
04

Welcome to the team

Welcome to KPN. Today starts your induction program.

Interested? Send us your application!

Apply through the form

Maggie Kramar

Can I help you?

Maggie Kramar

Recruiter

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