DevOps Engineer -AI Engineer for GenAI Assistants within Customer Service

For Rabobank in Utrecht, we are looking for an AI Engineer for GenAI Assistants within Customer Service.

About us & the role:

We believe customer interactions are evolving toward AI agents that actively support personalized financial choices. These agents depend on high-quality enterprise data and knowledge to provide accurate, grounded, and reliable support. Preparing this information and systematically evaluating the quality of AI assistants are essential to creating valuable customer-service solutions.

That is why we are looking for an AI Engineer to strengthen our Conversational AI teams. You will focus on preparing enterprise data and knowledge for advanced AI assistants and applying evaluation frameworks across single-turn, multi-turn, simulated, and agentic scenarios. In this role, you will help ensure that our assistants provide accurate, grounded, and reliable support to advisors.

You will work in a hybrid setup, ideally spending one day a week onsite in Utrecht, collaborating closely with teams to implement new conversational and AI concepts. On Mondays, our department works from the office. For the rest of the week, we coordinate among ourselves whether we work from home or the office. The Digital & Customer Interaction Tribe aims to deliver an excellent customer experience, regardless of how the customer contacts Rabobank. Core values of our area include fun, collaboration, proactivity, and problem-solving.

Your main focus will be on:

• Collaborate within a scrum team to prepare, structure, enrich, and validate enterprise data for AI knowledge bases and AI Chatbots;
• Build and maintain data pipelines in Databricks to process structured and unstructured data for AI knowledge bases;
• Apply evaluation frameworks to test advanced chatbots across single-turn, multi-turn, simulation-based, and agentic scenarios;
• Prepare, clean, transform, and enrich source data to improve the quality and reliability of information used by AI assistants;
• Create and maintain evaluation datasets covering realistic conversations, complex cases, edge cases, and multi-step workflows;
• Implement automated testing, monitoring, and quality gates for changes to data, prompts, models, retrieval, and orchestration;
• Deploy and manage cloud infrastructure using Infrastructure as Code, particularly Azure Bicep and CI/CD pipelines;
• Analyse evaluation results and translate findings into improvements across knowledge, retrieval, prompts, tools, and application logic.

• A strong engineering and data-quality mindset, with an affinity for Agile development;
• A proactive, hands-on approach to solving complex AI-quality and cloud-engineering challenges;
• Strong critical thinking, ownership, and accountability for production-ready solutions;
• Excellent communication skills and a customer-centric attitude;
• A relevant HBO or university degree and fluency in English.
• Language: English and Dutch mandatory;
• Strong proficiency in Python and experience with data engineering and automated testing;
• Hands-on experience with Azure, Databricks, DevOps, CI/CD, and Infrastructure as Code, preferably Bicep;
• Experience building data pipelines and preparing structured and unstructured enterprise data for AI knowledge bases and RAG applications;
• Experience applying evaluation methods to advanced chatbots, including multi-turn, simulated, and agentic interactions;
• Familiarity with Context Engineering, Agentic AI, Function Calling, retrieval strategies, and tool use.

For Rabobank in Utrecht, we are looking for an AI Engineer for GenAI Assistants within Customer Service.

We believe customer interactions are evolving toward AI agents that actively support personalized financial choices. These agents depend on high-quality enterprise data and knowledge to provide accurate, grounded, and reliable support. Preparing this information and systematically evaluating the quality of AI assistants are essential to creating valuable customer-service solutions.

The Digital & Customer Interaction Tribe aims to deliver an excellent customer experience, regardless of how the customer contacts Rabobank. Core values of our area include fun, collaboration, proactivity, and problem-solving.

Optie tot verlenging: Nee

Hybride: Je werkt hybride, met maandag als vaste kantoordag in Utrecht. De overige dagen worden in overleg ingevuld, met een streven naar minimaal één kantoordag per week.

Overig algemeen:

Belangrijk:

• De vacature sluit mogelijk eerder bij voldoende geschikte professionals.
• Geef in je motivatie aan of je geplande vakanties of verlof hebt.
• Geef in je CV aan of een interne referentie opgevraagd mag worden.
• Je dient de Nederlandse en Engelse taal machtig te zijn.
• Een motivatie en CV in het Nederlands is gewenst.

Aanvullende informatie:

• Vanwege toenemende drukte op de Rabobank-locatie aan de Croeselaan in Utrecht, geldt vanaf april 2026 een nieuw parkeerbeleid. Van maandag tot en met donderdag is parkeren voor externe medewerkers niet meer mogelijk. Alleen op vrijdag is parkeren nog toegestaan.
• Je moet op de hoogte zijn van de toepasselijke wet- en regelgeving rondom arbeidsvoorwaarden en de CAO van Rabobank. Deze rol valt onder schaal 09 van de Rabobank CAO.
• Je mag voor slechts één aanvraag tegelijk worden voorgesteld.
• Je moet beschikbaar zijn voor de gehele gevraagde periode.
• Er vindt een pre-employment screening (PES) plaats, uitgevoerd door een externe partij. Je kunt pas starten na afronding van deze screening.
• Je dient in het bezit te zijn van een geldig identiteitsbewijs (paspoort of ID-kaart) dat zowel bij de intake als op de startdatum van het contract geldig is.