Top AI & Machine Learning Jobs

Lead Adyen’s Personalize Intelligence team developing machine-learning systems for real-time Checkout optimization and AI products. Provide technical leadership on architecture, reliability, and scalable services; coach machine learning scientists and data engineers; define goals and product roadmaps with Product; collaborate across Design, Engineering, Data, and leadership; monitor system performance; foster an inclusive, high-performing culture; and recruit new team members.

Build and operate Adyen’s enterprise AI governance framework, translating global AI and privacy laws into policies, standards, assessments, and practical workflows. Advise on generative and agentic AI, risk classification, model evaluation, fairness, explainability, red teaming, privacy, and human oversight. Partner cross-functionally with Risk, Security, Product, Compliance, Legal, Engineering, and Data Science; deliver training, monitor regulatory developments, and support audits and inquiries.

Lead product and operations for Fin.ai to drive autonomous, auditable resolution of merchant support queries. Own roadmap, quality metrics (resolution rate, CSAT), team of AI support specialists, cross-functional integration with Engineering/Data, and compliance controls for payments regulations.

Lead design and implementation of LLM-powered conversational financial interfaces. Architect secure, zero-trust orchestration (tools, chains, policy layers), own full-stack services and data pipelines, partner with product, and mentor global teams to deliver production-grade intelligent customer experiences.

Hands-on AI engineering role to research, implement, and productionize GenAI/LLM systems for fintech. Build scalable foundation-model applications and AI agents, drive AI strategy, mentor teams, and ensure safe, regulation-aware innovation.

Lead development of AI-integrated, streaming customer interfaces and backend Java services. Build dynamic Vue/Preact components, architect agentic AI workflows and zero-trust guardrails, ensure production reliability, reduce latency, mentor engineers, and collaborate with product to deliver secure financial user experiences.