Senior QA Engineer Conversational AI

Senior QA Engineer Conversational AI bij PostNL

As Senior QA Engineer Conversational AI, you ensure our smart conversation systems always work as intended. You lead the QA strategy for chatbots, voice and conversational search solutions, and thereby directly impact the AI First strategy of PostNL!

Daarom kies je als Senior QA Engineer Conversational AI voor PostNL

Visible impact: Your work directly influences how millions of people interact with our digital services every day.

Challenge: You define the QA approach and set quality standards for emerging AI technologies in one of the Netherlands’ largest service organizations.

Great Atmosphere: You collaborate in an open culture where your ideas are valued.

Freedom: You enjoy flexibility with hybrid working and self-scheduled days. Work from home and at a flexible workspace in our vibrant, state-of-the-art office in the historic Stationspostgebouw (next to Holland Spoor station).

Growth: You have ample opportunities for growth and development through training and career advancement.

Dit is jouw rol

As Senior QA Engineer Conversational AI, you are responsible for ensuring the quality, reliability, and consistency of our conversational solutions. You develop quality engineering strategies, test automation frameworks, and monitoring & observability tooling for both agentic AI and deterministic flows. Your goal? Making sure every interaction - via our conversational channels - is accurate, relevant, and on-brand.

You’ll work with platforms like Cognigy and use automation to streamline testing, from regression to intent recognition. You monitor performance, assess dialogues, and ensure compliance with security and privacy standards. Your insights help improve our AI solutions and deliver a seamless user experience.

Jouw collega's

You’ll join the Conversational AI team within our Digital department. This team includes a Solution Architect, AI Engineers, and a Solution Consultant. Together, you build smart, user-friendly digital interactions that improve our customer service. The culture is open, collaborative and focused on innovation and continuous learning.

Hier kom je terecht

Wij zijn PostNL. En samen met jou blijven we de favoriete bezorger. Dagelijks maken we 1,2 miljoen mensen blij met het bezorgen van bijzondere momenten. Dat kunnen we alleen dankzij jou en ons team mogelijk maken.

Dit bezorgen we jou

A role full of innovation and work that’s visible across the country. At PostNL, we aim to become the leading e-commerce logistics platform of the future. So we can deliver meaningful moments even smarter, faster, and better. Your mindset and our mission — that’s the perfect match. You can count on a strong package of benefits.

The top benefits of your role:

• Salary between €5,123.06 and €7,448.06 gross per month (scale 12) based on 37 hours.
• Hybrid working and flexible hours. Work from home two days or more? You’ll receive a €45 net monthly allowance.
• 8% holiday allowance and 25 vacation days for full-time employment.
• Travel allowance for commuting.
• Strong pension scheme via the PostNL pension fund.
• Laptop and phone.
• Access to learning and development via the PostNL Academy.
• Discounts on travel, events, and products.

Dit breng je mee

You’re detail-oriented, analytical and passionate about quality. You know how to test complex AI systems and how to communicate your findings clearly. You take initiative and enjoy working with others to solve problems and improve results. You bring coaching and mentoring capabilities.

You also bring:

• A Bachelor’s or Master’s degree in Computer Science, AI or a related field.
• 6+ years of experience in QA/testing, ideally with conversational AI or NLP systems.
• Conversational AI automation: Experience with frameworks or tools such as Botium, Cognigy framework, MS Bot, Rasa, or similar that support:
  • Multi-turn conversational flow validation (text & voice).
  • Intent and entity recognition testing (NLP/NLU).
• Test reporting and CI/CD integration: Setting up automated reporting, dashboards, and pipeline integration with CI/CD systems.
• Experience with synthetic test data generation (for AI models).
• Hands-on experience with test automation tools.
• Experience with platforms like Cognigy and multi-channel flow testing.
• Understanding of AI/ML systems and how to test them effectively, both functionally and non-functionally.