Top Artificial Intelligence Jobs in Amsterdam

Lead legal initiatives for data privacy and AI compliance in Europe; develop policies, provide legal guidance, manage risks, and ensure regulatory compliance.

This role involves leading engineering teams in the AI Platform, guiding delivery, supporting team growth, and ensuring technical alignment. Responsibilities include managing priorities, fostering collaboration, promoting best practices, and providing technical oversight and strategy to enhance platform capabilities and team dynamics.

The AI/ML Engineer role emphasizes technical leadership, project management, and client consultation, focusing on cloud solutions and system architecture. Candidates should have experience with data centers, systems architecture, and cloud technologies, aiming for innovative solutions within budget and time constraints.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

The AI Solutions Architect will provide technical leadership for strategic accounts, advising executives, driving adoption of data solutions, and mentoring team members while leveraging deep expertise in AI and data engineering.

The AI Deployment Strategist will drive AI adoption and deployment in industrial enterprises, collaborating with clients to design AI roadmaps, integrating AI into workflows, and ensuring customer success while navigating IT compliance and security constraints.

The AI Lead is responsible for managing AI teams, driving AI project strategies, and ensuring deployment efficiency in telecommunications. They will oversee AI R&D, mentor team members, and collaborate across teams to align AI solutions with business goals.

The Forward Deployed AI Engineer will support pre-sales, design AI solutions, implement projects, ensure quality, and guide customers through their journey.

The AI Content Expert will create and annotate training data, perform quality checks, and improve data guidelines, needing proficiency in multiple modalities and languages.

Design, build, and deploy production AI agents in Python, integrate with enterprise systems, evaluate and maintain agent performance, and collaborate cross-functionally while producing well-tested, documented code and CI/CD pipelines.

The Senior AI Engineer will design and develop advanced ML and NLP solutions for healthcare, collaborating across teams and mentoring juniors.

Lead the vision and execution for AI analytics in JetBrains Console, focusing on customer adoption, usage, cost, and decision-making.

As an AI Product Manager, you will define the product roadmap, collaborate with teams to develop AI features, conduct market research, and ensure ethical AI use.

Seeking an AI/ML Engineer to develop and optimize machine learning models for mobile apps, collaborating with teams to enhance user experiences.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Design and implement agentic tools, translating product needs to production, scale prototypes, improve semantic search, build evaluation pipelines.

As a Research Engineer, you will develop evaluation tools for AI coding agents, analyze failures, and improve Kotlin code generation techniques. You'll also build public benchmarks for agent performance and maintain evaluation infrastructure.

The Site Reliability Engineer ensures user-facing services run smoothly, focuses on systems reliability and scalability, and enhances operational practices through automation and engineering principles.

As an AI Engineer, you will design, build, and ship AI systems for publishing workflows, ensuring reliability, evaluation, and security while contributing to community engagement and content localization.

The Applied AI Engineer will support customer adoption of AI products, integrate AI models into applications, and improve product capabilities based on feedback.

The AI Engineer will develop GenAI solutions, manage production rollouts, serve as a technical advisor to customers, and collaborate with product teams to shape AI applications.

The Expert Partner will lead client engagements in Data & Analytics, advising on strategic initiatives, building teams, and managing client relationships to drive business success and financial objectives.

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.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.