Top Artificial Intelligence Jobs in Amsterdam

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 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.

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.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to deliver simple customer journeys. Use data, feedback, research, and production issues to improve decisions, launch features, monitor results, and drive iterations while balancing speed, usability, business impact, compliance, and operational complexity.

Own AI Investing product areas and define user problems, product scope, success metrics, roadmaps, and launch plans. Partner with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features quickly, monitor performance, and iterate using data, research, feedback, and production insights. The role requires strong product judgment, execution, prioritization, communication, stakeholder management, and ownership in a fintech or high-growth environment.

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

Lead enterprise vulnerability management across infrastructure, cloud, applications, and code. Use LLMs and generative AI to automate detection, analysis, prioritization, and remediation. Collaborate with security, DevSecOps, cloud, and app teams to implement AI-driven workflows, reduce manual effort, and ensure timely remediation and compliance.

Designs end-to-end enterprise AI architectures on AWS, including LLM orchestration, integrations, cloud infrastructure, security, scalability, and governance. Leads technical discovery workshops, creates architecture documentation and standards, guides engineering squads, reviews designs, presents decisions to senior stakeholders, and evaluates third-party AI platforms for buy-versus-build decisions. Requires extensive senior architecture experience and fluent Dutch and English.

Create high-converting video ads for e-commerce brands across Meta and social platforms. Responsibilities include using AI tools to edit and repurpose footage, develop hooks and visual storytelling, produce creative variations, add captions and motion graphics, collaborate with marketing and creative teams, incorporate feedback, and manage multiple projects while meeting deadlines.

Join sales and delivery as a technical expert to scope, design, implement, and improve custom AI solutions on the Lleverage platform. Support pre-sales calls, lead solution design and implementation, advise customers, shape product roadmap, and improve live-solution quality.

Lead end-to-end implementation of QVAC-powered AI deployments, align client objectives with product capabilities, coordinate cross-functional teams, manage roadmaps, governance, and production rollouts, and produce executive reporting while ensuring privacy-preserving and distributed inference solutions meet client requirements.

The Backend Engineer will develop and maintain features for Restream web services, design backend APIs, ensure infrastructure resilience, and contribute to a collaborative team environment.

Design and build scalable AI applications and intelligent agents using Python and LLMs. Implement agentic workflows (reasoning, planning, tool calling), RAG, prompt engineering, and embeddings. Integrate with APIs, vector databases, microservices, and cloud platforms. Test, monitor, and optimize AI applications while following security, governance, and responsible AI practices and collaborating with cross-functional teams.

Seeking a Senior Full-Stack Engineer to develop AI-driven web and mobile applications, focusing on scalable architectures and API integrations. Collaborate with product teams to translate features into technical solutions.

Senior technical lead embedding with customer teams to design, architect, and deliver production-grade AI/ML solutions. Drive model optimization, high-performance training (TPUs), efficient serving (vLLM), MLOps, agentic systems, GDPR-compliant private AI, ROI and cost optimization, pre-sales technical support, mentoring, and external thought leadership.

Build and maintain the marketing automation backbone and AI agent integrations. Implement event tracking, data pipelines, CRM customizations, and cross-channel workflows. Prototype agent infrastructure, connect APIs/webhooks, automate go-to-market tasks, and produce analytics and attribution to support growth and experimentation.

Build and ship secure, production-ready CI/CD and AI-integrated features end-to-end. Design, implement, and iterate on products (e.g., hardened GitHub Actions, agent features), work closely with Product and front-end teams, make architectural decisions, and extend Chainguard's agentic AI capabilities into customer-facing experiences.

Design and implement user-facing features from concept through implementation, combining UX design and front-end engineering. Build, iterate, and maintain UI/UX and business logic to drive engagement and conversion, collaborate with product/marketing/support, participate in code reviews, and leverage modern tools and deployment workflows.

Develop and maintain open-source, silicon-optimized AI/ML inference application packages (Inference Snaps) for Linux/Ubuntu Core. Debug, write high-quality code, review upstream contributions, secure and optimize local inference deployments across embedded devices to gateways, and collaborate with a distributed team and stakeholders.