Top Artificial Intelligence Jobs in the Netherlands

Build and deploy production-grade LLM capabilities for the Kayzen Console. Responsibilities include developing AI-backed APIs and full-stack features, implementing RAG, embeddings, agents, and tool calling, and establishing evaluation, monitoring, observability, and feedback systems. The role optimizes quality, latency, reliability, and cost; troubleshoots production issues; collaborates with Product, ML, and Engineering; and turns prototypes into maintainable AI products.

Own product areas within KIRA’s AI neobank, including insurance, payments, savings, investing, and travel. Define user problems, product scope, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, launch features, monitor performance, use research and feedback, and continuously iterate while balancing speed, customer experience, business impact, compliance, and operational complexity.

Own AI Investing product areas across financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial journeys; launch features, monitor performance, analyze feedback and data, and continuously improve products while balancing speed, customer experience, business impact, compliance, and operational complexity.

Leads global privacy and AI legal matters for a SaaS employment platform. Advises Product, Engineering, Security, and business teams on privacy by design, AI governance, data protection, workforce data, incidents, regulatory compliance, vendor reviews, transfers, and contract terms. Builds scalable policies, controls, templates, training, and customer-facing trust materials while monitoring global privacy and AI regulations.

Own AI Investing product areas by defining user problems, product direction, roadmaps, success metrics, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features, monitor performance, and drive iterative improvements. Balance user experience, business impact, speed, compliance, and operational complexity while making data-informed decisions with limited guidance.

Own AI Finance product areas across financial services, including insurance, payments, savings, investing, and travel. Define user problems, product direction, roadmaps, success metrics, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate using data, research, feedback, and production insights.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product direction, scope, metrics, roadmaps, and launches. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use research, feedback, experiments, and performance data to iterate quickly while balancing user experience, business impact, compliance, and operational complexity.

Own product areas within BJAK’s AI Investing and broader financial services offerings. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate using data, research, feedback, and production insights. The role requires strong ownership, prioritization, stakeholder management, and comfort making decisions with incomplete information.

Own product areas for an AI neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to ship features, monitor performance, and iterate using research, feedback, experiments, and production data. Balance speed, usability, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, launch features, monitor performance, analyze feedback and data, and drive continuous improvements while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas across KIRA’s financial services, defining user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial journeys. Use metrics, research, feedback, and production insights to launch features, monitor performance, make trade-offs, and drive continuous improvement.

Leads and grows a distributed EU-based AI and Machine Learning team, managing Data Scientists and Machine Learning Engineers. Responsibilities include line management, coaching, performance reviews, team culture, delivery processes, engineering quality, CI/CD, cloud automation, monitoring, architecture discussions, process improvement, and cross-regional stakeholder collaboration. The role partners with AI leadership on technical, organizational, and HR matters.

Own product areas across KIRA’s AI neobank, including insurance, payments, savings, investing, and travel. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify financial workflows; use research, feedback, data, and production issues to improve decisions; and launch, monitor, and iterate features while balancing speed, usability, business impact, compliance, and operational complexity.

Own product areas within AI Investing and broader financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams. Simplify complex financial products, use research and feedback to guide decisions, launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas across BJAK’s financial services, including investing, insurance, payments, and savings. Define user problems, roadmaps, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use metrics, research, feedback, and production insights to improve products after launch. The role requires fast execution, strong prioritization, stakeholder management, and independent decision-making in a remote Austria-based team.

Own product areas for BJAK’s AI Investing business across financial services. Define user problems, product strategy, scope, metrics, roadmaps, and launches while partnering with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, use research and performance data to guide decisions, launch quickly, monitor results, and continuously improve customer experiences while balancing growth, usability, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define product direction, user problems, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams. Simplify complex financial workflows, launch features, monitor performance, analyze feedback and data, and drive continuous iteration while balancing user experience, business impact, compliance, and operational complexity.

Own AI Stockbroking product areas across financial services, defining user problems, roadmaps, success metrics, launch plans, and customer journeys. Partner with engineering, design, data, operations, compliance, and business teams to ship features, monitor performance, use feedback and metrics, and drive continuous improvements while balancing speed, usability, business impact, compliance, and operational complexity.

Build and ship full-stack features for a data intelligence SaaS platform, spanning backend services and frontend interfaces. Use AI coding assistants to accelerate development while applying sound engineering judgment. Participate in architecture discussions, code reviews, testing, incident response, troubleshooting, documentation, and knowledge sharing. Partner with product managers to translate requirements into technical solutions. The role emphasizes SaaS architecture, AWS cloud fundamentals, Docker, Kubernetes, CI/CD, agile delivery, autonomy, and production ownership.

Own design, deployment, and operation of high-performance AI GPU fabrics and datacenter networking (RoCE, RDMA, BGP/ECMP, EVPN/VXLAN). Provide staff-level architecture, cross-team technical leadership, incident escalation, automation (Python/Bash), and operational standards for global datacenter and edge deployments, including inter-datacenter transport and security.

Own product areas for an AI neobank across financial services such as payments, savings, investing, insurance, and travel. Define user problems, roadmaps, metrics, scope, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; launch features; monitor performance; and iterate using data, research, feedback, and production issues.

Design, build, and operate the AI storage layer for GPU-heavy edge and core deployments. Architect and optimize storage for distributed training and inference, integrate storage with Kubernetes (CSI), tune performance (RDMA, NVMe-oF, GPU Direct Storage), lead reliability and operational practices, and provide staff-level architectural ownership and cross-team influence while executing hands-on storage engineering.

Create and optimize high-converting image and video advertisements and product promotions for e-commerce brands. Own campaigns from concept through execution, using Photoshop, Illustrator, Premiere, and AI tools for content generation, editing, voiceovers, and automation. Maintain brand consistency while improving click-through rates, engagement, conversions, and revenue. Work independently in a fully remote, performance-driven environment and demonstrate measurable portfolio results.

Own product areas within AI stockbroking and broader financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products, launch features, monitor performance, and iterate using data and feedback. The role requires strong product judgment, execution, prioritization, writing, stakeholder management, and ownership in a fast-moving environment.

Own product areas for an AI neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify customer journeys; launch features; monitor performance; and continuously improve products using data, feedback, research, and production insights.