Top Artificial Intelligence Jobs in Amsterdam

Manages end-to-end investigator and clinical site payments, including payment processing, invoice review, reconciliations, accruals, forecasting, reporting, risk management, and issue resolution. The role reviews data from study budgets, EDC, and CTMS systems; improves payment processes and systems; evaluates AI opportunities; and collaborates with global internal and external stakeholders.

Conduct foundational research on latent space models for voice AI, including neural audio codecs, generative speech models, interpretable embeddings, synthetic audio generation, multimodal speech-to-speech systems, and hardware-efficient training and inference. The role requires mathematical rigor, algorithmic innovation, scalable data pipelines, systems optimization, and controlled experimentation to advance speech and audio foundation models.

Leads enterprise Celonis implementations using AI-assisted delivery. Conducts discovery workshops, translates business needs into technical specifications, configures data models, process analyses, KPIs, dashboards, automations, and operational solutions, validates AI-generated outputs, quantifies business value, trains customers, and manages project outcomes. Requires deep process or industry expertise, strong consulting and analytical skills, proficiency in PQL, SQL, and Python, and willingness to travel up to 50%.

Leads Prosus’s product communications function for AI products, owning positioning, messaging, launches, media and analyst relationships, owned channels, and cross-functional alignment. Builds the communications discipline through playbooks, processes, measurement, and standards. Translates complex technology into compelling narratives for technical and non-technical audiences while connecting communications to adoption, reputation, and business results.

Develop and evolve data, privacy, and AI governance frameworks; translate regulatory and policy requirements into practical guidance; establish stewardship models, governance forums, and supporting tooling; deliver data and AI literacy programs; and advise cross-functional teams on responsible AI, bias, transparency, explainability, data quality, lineage, and regulatory compliance.

Develop a pro-human strategy for AI emphasizing controllable, verifiable, human-centered systems. Track efficient models, open-source AI, robotics, and industrial applications; engage international policymakers and stakeholders; build coalitions; and translate technical strategy into policy recommendations. The role requires strong AI technical fluency, policy engagement experience outside the US and China, excellent communication, stakeholder management, and independent strategic leadership.

Build and scale an AI-first sales enablement and certification function for a multi-product B2B SaaS portfolio. Create field-ready messaging, learning content, assessments, and certifications for account executives and business development representatives. Partner with solution engineers, subject matter experts, and designers; establish win/loss feedback loops; and use performance data to improve adoption, sales execution, and behavior change.

Build and operate secure, scalable payment services and third-party integrations while developing AI-powered and agentic workflows. Responsibilities include payment processing, reconciliation, settlement, tool calling, retrieval, permissions, guardrails, observability, testing, performance optimization, and technical architecture. The role requires Golang, production software engineering, distributed systems, databases, REST APIs, payment or POS integrations, LLM applications, and secure AI development practices.

Build, deploy, and own production-grade AI systems including LLM applications, RAG, agents, and tool-calling workflows. Implement evaluations, observability, tracing, guardrails, and prompt controls while managing cost, latency, and reliability. Collaborate within architectural guidelines, resolve production issues independently, and translate AI capabilities into measurable client value. Strong Python, modern AI stack expertise, production LLM experience, business communication skills, and English fluency are required.

Designs and maintains enterprise AI governance frameworks, controls, and lifecycle processes across Azure AI platforms. Builds platform engineering tools, automation, dashboards, and DevSecOps integrations for secure, compliant AI/ML delivery. Performs vulnerability management and risk assessment addressing AI-specific threats such as data leakage, model extraction, and prompt injection. Collaborates with cloud, security, data, compliance, and business teams to improve governance maturity and deliver scalable AI platforms.

Design and deliver production-grade agentic AI systems, including context engineering, orchestration, model evaluation, LLMOps, observability, guardrails, and security. Lead architecture, optimize performance and cost, establish reusable engineering standards, and mentor engineers. Build reliable, scalable AI capabilities integrated with customer knowledge repositories while ensuring measurable business impact and continuous improvement.

Build a model enablement platform for heterogeneous AI computing across AIPUs, CPUs, GPUs, NPUs, and other accelerators. Responsibilities include model ingestion, graph partitioning, compilation, runtime execution, performance profiling, memory and scheduling optimization, large-model offloading, and verification integrated into CI. The role combines architecture ownership with hands-on C++ and Python engineering across model frontends, compilers, runtimes, and application pipelines.

Own LLM and VLM enablement on Axelera AI hardware, from studying and profiling models through productionizing them in the Voyager SDK. Responsibilities include PyTorch references, quantization, weight mapping, model contracts, pipeline integration, KV-cache management, multimodal serving, accuracy validation, and bring-up platform development. The role also shapes GenAI, agent, and speech capabilities for edge devices.

Leads EMEA AI, paid media, digital marketing, website, virtual event, email, and nurture strategies. Manages four direct reports, agencies, budgets, forecasting, campaign planning, AI marketing adoption, localized digital experiences, GEO initiatives, and performance optimization. Partners with global and regional stakeholders to improve engagement, conversion, pipeline contribution, and customer lifecycle outcomes.

Lead a new AI engineering team by owning delivery, roadmaps, use-case prioritization, hiring, team development, performance management, and stakeholder communication. Identify business opportunities for AI, guide solutions from concept to production, manage risks and dependencies, and partner with Engineering, Trading, Quant, technical leads, and staff engineers to deliver measurable outcomes.

Builds scalable data, analytics, and agentic AI solutions using Python, SQL, Databricks, and cloud platforms. The role integrates enterprise data from Salesforce, SAP, and ServiceNow; develops curated datasets, semantic and metric layers; analyzes commercial and financial performance; and productionizes AI agents with evaluation, testing, governance, and CI/CD practices. It also coordinates cross-functional initiatives and communicates insights and recommendations to business and technical stakeholders.

Design, develop, and deploy enterprise-grade Agentic AI solutions using LLMs, RAG, multi-agent systems, and intelligent automation. Build scalable AI and data pipelines across Azure and AWS, integrate vector databases and enterprise data sources, and implement MLOps for deployment, monitoring, evaluation, and retraining. Collaborate cross-functionally to translate business requirements into reliable production AI applications, applying containerization, orchestration, CI/CD, security, and governance practices.

Leads a multinational BDR organization of approximately 18 representatives through team leaders. Owns BDR strategy, playbook development, performance management, metrics, sales technology adoption, process optimization, and cross-functional alignment with Sales, Marketing, and senior leadership. The role combines strategic planning with hands-on operational leadership across European and US markets, driving scalable prospecting, qualification, conversion, and team development.

Communications Interns support client teams with media strategies, press materials, research, content creation, social and digital campaigns, product launches, influencer campaigns, and events. They monitor news and cultural trends, contribute creative ideas, and experiment with AI tools for research, media analysis, content creation, and campaign planning. The role develops writing, strategic thinking, presentation, and communications skills while working on integrated campaigns for major brands.

Own the lifecycle of AI products by translating business priorities into executable roadmaps, partnering with engineering and design, driving delivery, and incorporating user feedback. Lead client demonstrations, define and evaluate product metrics, coordinate cross-functional teams, and align product development with broader innovation strategy. The role requires strong product management, leadership, communication, analytical, agile, and user research skills.

Designs and maintains scalable, secure, governable AI platform infrastructure for a banking client. Responsibilities include developing Azure cloud-native solutions, CI/CD pipelines, platform automation, AI service integrations, infrastructure templates, observability, and reliability capabilities. The role supports AI developer teams and aligns platform architecture with security, regulatory, privacy, and data governance requirements.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Lead the claims team while personally handling complex and disputed non-life claims from first notice of loss through settlement or denial. Make coverage, reserve, payment, recovery, and fraud decisions; coach handlers; manage complaints and third parties; monitor performance; and improve processes. Drive responsible AI adoption for claims automation, ensuring compliance with delegated authority, carrier requirements, GDPR, and applicable regulations. Feed claims insights into products, reporting, audits, and policy improvements.

Lead enterprise AI adoption by coordinating training, enablement, change initiatives, governance, compliance, demand management, and delivery oversight. Manage the AI project portfolio, business cases, roadmaps, risks, stakeholder alignment, and communication across business, technology, risk, legal, and architecture teams. Accelerate responsible scaling of AI solutions across markets while translating complex AI concepts into practical business value and supporting user adoption.

Lead internal communications across European hubs, connecting executive leadership, People teams, and employees. Develop communication plans, editorial calendars, Slack governance, All Hands meetings, executive messaging, change-management narratives, and engagement dashboards. Support post-merger integration and culture unification while using AI to scale communications. Partner with executives on sensitive organizational updates and translate complex fintech strategies into clear, engaging content.