Top Artificial Intelligence Jobs in the Netherlands

Own a technical product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a financial product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI-native fintech product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, regulatory requirements, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Apply AI with evaluation, safeguards, and human oversight while coordinating Engineering, Compliance, Operations, Treasury, Finance, and Design.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Integrate regulatory requirements such as KYC, transaction monitoring, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while aligning engineering, compliance, operations, finance, and external partners.

Own an AI investing product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Embed regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating engineering, design, compliance, operations, treasury, and finance.

Own an AI neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate KYC, transaction monitoring, privacy, limits, and licensing requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Lead the architecture and production delivery of AI agents and intelligence systems for payments. Build reliable, low-latency LLM applications with tool use, orchestration, memory, RAG, multilingual conversations, evaluation, observability, and safety guardrails. Develop merchant intelligence and AI operations automation, mentor engineers, establish technical direction, and collaborate across Product, Data Science, and engineering teams in a compliance-sensitive global environment.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Integrate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Owns an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partners with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Integrates regulatory requirements across KYC, transaction monitoring, limits, privacy, and licensing. Applies AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a technical product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Integrate regulatory requirements across KYC, monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, and human oversight while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Lead architecture and delivery of perception and spatial AI models from cloud training to deployment on automotive-grade SoCs. Define deployment-first architectures, convert state-of-the-art research into production pipelines, set evaluation and hardware-aware validation standards, partner across research/product/customers, remain hands-on prototyping and debugging, and hire and mentor a high-performing engineering team.

Work on strategic digital transactions projects (payments, identity, open banking). Perform analyses, stakeholder interviews, translate technical/commercial insights into roadmaps and specifications, support proposals and proposition development, and contribute to client-facing delivery within small cross-functional teams.

Build and maintain production-grade agentic AI systems for an internal AI platform. Design AWS infrastructure, knowledge graph solutions using Neptune or Neo4j, and LLM-based reasoning and retrieval workflows. Troubleshoot integrated systems, collaborate across teams, influence technical direction, and support engineering best practices. The contract is expected to last 4–6 months, with possible extension, and requires strong Python, AWS platform engineering, and agentic AI expertise.

Own product areas within AI stockbroking and broader financial services, defining 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, use data and feedback to guide iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Evaluate and label photos, graphics, videos, stickers, designs, and AI-generated content in Dutch. Assess linguistic quality, accuracy, and cultural appropriateness; build Dutch-specific datasets for Canva AI internationalization; meet labeling targets; refine annotations based on feedback; and collaborate with global data-labeling teams to maintain consistent quality.

Owns an AI-focused financial product vertical end to end, including strategy, metrics, backlog, technical design, money-movement correctness, regulatory requirements, AI evaluation, and launch readiness. Partners with engineering, design, compliance, operations, treasury, and finance to ship reliable, trustworthy products across regulated markets. Requires strong system-design knowledge, technical product leadership, regulated-domain experience, and hands-on judgment with LLM products.

Leads major product areas for KIRA’s AI stockbroking and neobank app. Owns product direction, priorities, roadmaps, standards, metrics, execution, launch quality, and continuous improvement across multiple squads and financial-service workstreams. Guides product managers, product owners, designers, and engineers; balances UX, data, engineering, regulatory, operational, and business considerations; and simplifies complex financial products into usable customer journeys.

Lead product direction and execution for major areas of an AI investing and neobank app. Own roadmaps, priorities, product standards, metrics, launch quality, and continuous improvement across multiple squads and financial services. Guide product managers, product owners, designers, and engineers while balancing regulatory, operational, technical, user, and business constraints. Mentor product teams, simplify complex financial journeys, and build a fast, high-quality, outcome-focused product culture.

Lead product direction and execution for major areas of an AI neobank app. Own roadmaps, priorities, product standards, success metrics, launch quality, and continuous improvement across multiple squads. Guide product managers, designers, engineers, and product owners while balancing user experience, data, engineering, business, regulatory, and operational constraints across financial services including payments, savings, investing, insurance, and travel.

Lead product direction, roadmap, standards, priorities, and success metrics for major AI finance app areas. Guide PMs, product owners, designers, and engineers across multiple squads and financial services, translating regulatory and business constraints into product decisions. Own launch quality, post-launch learning, continuous improvement, and product culture while balancing strategy, UX, data, engineering, and business outcomes.

Own product areas for KIRA’s AI Stockbroking App and broader financial services products. Define user problems, roadmaps, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, research, feedback, and production insights.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

The position involves conducting research and teaching in mathematics-enhanced AI for biomedical applications, mentoring students, and advancing interdisciplinary initiatives.

The Senior Consultant will manage digital transformation projects, focusing on strategy, marketing excellence, and customer experience. They will collaborate globally while ensuring project quality and governance.