Top Artificial Intelligence Jobs in Amsterdam

Lead a 4-person Data & AI team to define strategy, prioritize projects, set tech and governance guardrails, and deliver high-impact analytics and AI solutions. Split time between coaching the team and hands-on work (data modelling, capacity forecasting, pricing/AI prototypes), and enable the organisation to adopt AI responsibly and practically.

Design and implement execution primitives for AI/agent workflows in Kestra's Java core, build and maintain plugins to connect LLM providers and agent frameworks, convert agent use cases into reusable blueprints with product, and ensure AI executions are observable, debuggable, correct, and reliable.

Own AI workflows product: discover and validate AI use cases with customers, define roadmap and specs, create reusable blueprints with engineering, and prioritize what not to build.

As an AI-native growth hacker, you will implement a growth strategy, focusing on a specific growth wedge, leveraging AI tools, and measuring performance to scale successfully.

Design, build, and run production agentic workflows and reusable components for delivery processes. Implement RAG-backed knowledge bases, monitoring, evals, observability, and human-in-the-loop feedback to improve agents and integrate them with delivery teams and business tools.

Lead strategic AI adoption for enterprise customers across EMEA by designing, prototyping, and implementing agentic and conversational AI solutions. Drive discovery, architecture, POC/MVP delivery, evaluation frameworks, governance, and handover while mentoring teams and shaping product and roadmap decisions to achieve measurable business outcomes.

Lead and own Agent0: co-own roadmap with Product, hire and grow a senior AI engineering team, drive delivery of production-grade agentic AI, set evaluation and monitoring standards, prototype innovations, and provide thought leadership on AI production excellence.

Senior Director analyst providing thought leadership and actionable research on infrastructure and operations AI strategy. Produce insights, presentations, and client advisories; guide AI infrastructure, cloud adoption, integration, governance, and vendor selection. Lead research agenda, mentor analysts, collaborate cross-functionally (infrastructure, engineering, enterprise architecture, cybersecurity), support sales, and represent Gartner at events. Drive process improvements and influence senior stakeholders to align infrastructure and operations with business outcomes.

Design polished, mobile-first interfaces and prototypes for BJAKs AI and financial products. Translate requirements into wireframes, flows, and high-fidelity UI, maintain the design system, collaborate with PMs and engineers, iterate from user feedback, and ensure accessibility and responsiveness across devices.

Work within the Creative Studio/Technology team to design and build AI agents and image-processing pipelines. Prototype and integrate generative AI and computer-vision models into production workflows, develop tooling, and deliver tasks from brief to deployment while collaborating with designers and creatives.

As a Staff/Senior AI Engineer, you will develop production-ready coding agents and improve AI model capabilities for JetBrains' software development tools. Collaborating with teams, you'll focus on model training, evaluation, and product integration to enhance user experience.

As a Senior Software Engineer, you will design and implement AI-powered agents to automate assurance workflows and build production-ready solutions. You'll collaborate with product teams to enhance the development process and maintain high standards in code quality and architecture.

Research and engineer large multimodal and reinforcement-learning models for robotic agents: design, train, evaluate models; prototype in simulation and on hardware; build data pipelines, simulation environments, and distributed training infrastructure; collaborate to scale promising approaches into production and publish results.

Design and build research prototypes and production-capable systems to enable portable, interoperable agent and model workflows. Develop model routing, provider abstractions, memory and context representations, benchmarking suites, and evaluation protocols. Run ML experiments, implement robust APIs and integration layers, collaborate across research and engineering, and communicate results via reports, demos, publications, and open-source releases.

Own the AI observability backbone: deploy LLM and agent monitoring with Langfuse; capture traces, latency, token usage, cost, quality scores and safety signals; build Python exporters and tooling; design Grafana dashboards, Prometheus metrics and Azure observability; manage Terraform IaC and CI/CD; instrument workloads for health, cost, and SLA reporting; and support incident investigations.

Hands-on lead full-stack engineer who designs scalable architecture, ships production SaaS features, integrates AI tools, mentors senior engineers, improves deployment pipelines, and drives engineering quality.

Produce high-volume AI-generated product and fashion videos that align with brand style and technical standards. Implement and optimize AI video workflows and prompt engineering for faster production. Collaborate with marketing, creative, and product teams to support ad initiatives, maintain consistency across assets, and meet throughput and quality milestones as an independent contractor working 40 hours/week tracked via Hubstaff.

Create high-converting image and video content for e-commerce ads and product campaigns, optimize creatives for CTR and conversions, run end-to-end campaign design, and scale production using AI tools while maintaining brand consistency.

Lead development and scaling of AI-powered clinical applications using LLMs. Gather user and industry requirements, write product specifications, prioritize roadmaps, coordinate sprints and releases, validate quality with engineering and QA, and design generative AI capabilities to streamline pharmaceutical workflows and regulatory documentation.

Build and own the AI platform that enables fast, safe shipping: prototyping sandbox, CI/CD pipelines, automated tests and evals, agent runtime and orchestration, AI tooling, observability, and reliability. Drive platform standards, quality gates, and production-safe agent workflows so builders can ship rapidly and confidently.

Own end-to-end delivery of AI-powered automations: scope and shape client solutions, build demos and production systems (Python, FastAPI/Gradio, serverless), design prompts and data pipelines, validate outputs, and onboard clients while contributing patterns and R&D to the practice.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

As an AI Research Engineer, you will focus on model compression techniques to enhance performance of AI systems, ensuring efficient deployment on edge devices while maintaining accuracy.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.