Senior AI Engineer

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

We are looking for a Senior AI Engineer to join our AML (Anti-Money Laundering) Tech team in Amsterdam. You will help build our next-generation financial crime investigation system, leveraging AI to manage and mitigate risk at scale. With our global footprint, you will have access to a uniquely rich dataset to fuel these solutions.

You will bridge the gap between applied research and engineering excellence, taking ownership of the end-to-end lifecycle of these AI systems – from initial ideation to production. We are building a Human-in-the-Loop system. By evolving our capabilities from isolated workflows to a highly performant, trustworthy agentic system, you will shape how humans and AI collaborate in a complex, regulated domain.

This is a unique opportunity to be part of the foundational group driving AI product development at Adyen. You will be building zero-to-one products, setting the architectural standards for our team, and defining how AI is practically deployed across the company.

In this role, you will:

• Build Agentic Systems: You will lead the design and deployment of robust, multi-step AI agents tailored for complex investigation workflows (orchestration, tool dispatching, state and memory management, error recovery, human-in-the-loop design).
• Develop Platform Infrastructure: You will build a scalable modular agent platform that seamlessly integrates with enterprise data to support Adyen’s massive operational scale and diverse use cases.
• Architect Evaluation Frameworks: You will design custom, domain-specific benchmarks and reusable infrastructure to rigorously test LLM reliability, edge cases, failure modes, and overall production readiness.
• Provide Strategic Leadership: You will act as the leading engineer for the team, driving the AI product roadmap in close collaboration with a high-performing product team and leadership, guide company-wide MLOps decisions, evaluate third-party tools, and lead cross-functional integration.

Who You Are:

• Experienced Builder: 5+ years in Software or Machine Learning Engineering, including 2+ years successfully designing and productionizing AI systems.
• Agentic Architecture Expert: Proven experience in applied AI, with a focus on building systems around pre-trained models (e.g., context engineering, fine-tuning, RAG, inference optimization, orchestrating model interactions with external tools to deliver solutions, multi-step tasks). You know exactly what separates a research prototype from a production agent.
• Engineering & MLOps Pragmatist: Highly proficient in Python with a strong grasp of engineering best practices and tracking "LLM-native" metrics (e.g., granular tracing, tokens/sec, cost-per-request).
• Proactive Leader: A self-starter who thrives in ambiguity, continuously raises the technical bar, influences system architecture, and mentors the team to build for scale.
• Educated: Master’s degree in a STEM field (Science, Technology, Engineering, Mathematics) or equivalent technical background.
• Bonus (Nice to Have): A strong foundation in traditional Machine Learning. You understand that this product sits within a broader ML ecosystem and pragmatically choose the right tool for the problem.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.