6 months contract
Driving AI Forward at Rabobank
Rabobank's Agentic AI Centre of Excellence (CoE) is a small, high-impact team that is defining how one of Europe's largest banks can safely put AI agents to work at scale. We operate at the frontier of what's technically possible in a regulated financial environment, which means we constantly balance the tension between moving fast and meeting real institutional constraints. Were looking for people who combine technical excellence with adaptability, collaboration and a strong sense of ownership. These qualities are key to making our cultural shift real and impactful.
Who were looking for
You are a builder with hands on experience developing agentic AI systems and AI-powered applications. You have full-stack platform development experience, and know how to turn proofs-of-concepts into deployed production-grade solutions, and you have enough data science fluency to quantitatively assess whether an agent actually performs well, or just appears to. You communicate clearly and with precision, and can translate between engineers, product managers, and business stakeholders.
You are pragmatic and assertive when working under institutional constraints. Where resources are limited, and approval chains are long, you find ways to make things work without cutting corners that matter. When priorities shift, you reorient quickly and keep moving. You collaborate effectively with other teams to include Rabobank's requirements on data safety and data protection into a larger Agentic AI solution that meets all regulatory requirements and best practices. Your work will directly influence how millions of customers experience AI-driven banking.
Your mindset matters
Are you an entrepreneurial thinker whose ideas deserve to be heard? In our Area, leadership actively drives innovation and removes roadblocks so you can focus on what matters. Weve got your back.
What makes this role special
- Work in a culture that values initiative, grit and impact.
- Freedom to experiment, learn and grow-with full leadership support.
- A healthy work-life balance because sustainable performance matters.
- We value curiosity, resilience and the ability to learn fast.
A word of caution
Were not just looking for GenAI enthusiasts-were looking for exceptional Engineers & Data Scientists. People who aim for excellence, thrive on solving tough challenges and know how to build from first principles. If your coding journey started before the rise of GenAI, you'll feel right at home. We value data scientists and engineers who understand the fundamentals, who can build & beyond.
You and your job
Were building AI solutions that are as impactful for our customers as they are exciting for us to create - and we need your help. Youll be part of a multi-disciplinary team with end-to-end ownership of your work: from data ingestion to deployment and monitoring.
Practical examples
- You are part of an empowered self-performing team. Your voice is heard and you contribute directly to the product, or service, your squad is responsible for.
- Design and build responsible and cost effective AI solutions for up to 9,5 million Rabobank customers.
- Convert a use-case specific code base to re-usable building blocks used by 100+ tech teams.
- Pair-program with members of your squad and also across other Squads within Rabobank to solve critical or complex problems.
Functie-eisen
Technical Leadership:
- Design and implement scalable GenAI solutions using Azure services (e.g., Azure OpenAI, Azure ML, AKS, Azure Functions, API Gateway) and moving to portability and cloud-agnostic, resilience etc over time.
- Develop and maintain CI/CD pipelines using GitHub, Azure DevOps, Terraform, Bicep and Kong.
- Build Python-based microservices and automation tools to support ResGen/GenAI workflows, infrastructure provisioning and agent-based orchestration.
- Integrate and manage GenAI agents (e.g., LangChain, Semantic Kernel) to support complex multi-step workflows and decision-making processes.
- Ensure security, compliance and performance optimization across ResGen/GenAI workloads.
Competenties
Collaboration & Stakeholder Engagement:
- Collaborate with Data Science, Product and Business teams to translate requirements into technical solutions.
- Collaborate on the design and deployment of AI workflows, including prompt engineering, chaining and memory management.
- Communicate technical concepts effectively to both technical and non-technical stakeholders.
- Act as a trusted advisor on GenAI strategy, infrastructure scalability and operational excellence.
Soft Skills & Leadership Qualities:
- You are relentless in getting things done, you dont give up, you adapt & find another way to complete your assignment. Lead by example in problem-solving, adaptability & continuous improvement.
- Entrepreneurial - Salesmanship mindset - you see valuable opportunities to pitch your ideas to Leadership and you have the persistence to adapt your pitch even if you are told no.
- Excellent communication skills - able to simplify complex ideas and build trust across teams. Foster collaboration and alignment across engineering and business teams.
- Mentorship mindset - Mentor juniors and contribute to a culture of learning and innovation.
Inclusiviteit en diversiteit
Uiteraard staat deze vacature open voor iedereen die zich hierin herkent. We geloven dat diverse teams van belang zijn voor ons als lerende organisatie, die voorop wil blijven lopen in de wereld van werk. Want juist verschillen tussen mensen zorgen voor groei. Van collega's, klanten, kandidaten en daarmee van Randstad Professional. Heb jij een uniek talent? We ontmoeten je graag.