Top Artificial Intelligence Jobs in Madrid

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

As a Full-stack Software Engineer, you will enhance developer workflows, build AI-native tools, and ensure robust infrastructure for product teams at Alan, focusing on seamless integration and operational excellence.

The AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

The Principal Product Manager will drive the strategy for AI-based pricing and reconciliation across travel services, manage model lifecycles, and ensure operational integrity in real-time financial data processing in collaboration with cross-functional teams.

Lead strategy, production, and commercial performance for owned casino games. Own roadmap, vendor management, end-to-end production, RTP/volatility strategy, live operations, and post-launch performance.

Manage access to Omnipod products across territories, develop payer relationships, and contribute to market access strategies while analyzing data and utilizing health economic tools.

The Principal Engineer will define architecture and strategy for Redis capabilities in AI, design scalable systems for vector search, lead complex initiatives, and mentor engineers.

As an AI Engineer, you will build LLM systems, maintain AI solutions, collaborate across teams, and refine infrastructure integration while ensuring system uptime and accuracy.

Create advanced, verifiable physics problems for AI training and evaluation, ensuring technical precision and reproducibility with complete solutions.

As a Full-Stack Developer, you will build and scale AI products using Next.js and NestJS, manage backend services, integrate APIs, and collaborate with teams to deliver features efficiently.

Contribute to ABB Robotics by developing innovative software solutions, working independently and collaboratively in R&D projects, and ensuring quality and adherence to standards.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

The Product Manager will own the CRM & Retention module of a casino platform, focusing on player lifecycle management, AI-driven automation, and performance metrics to drive commercial success.

The AI Operations Specialist will design, deploy, and optimize AI-driven workflows, enabling automation and improving operational efficiency. Key tasks include building AI agents, integrating tools, and training teams on AI solutions.

The AI Motion Designer will create marketing videos using AI tools, producing and adapting content for various platforms, and managing the video production process from concept to delivery.

Responsible for building and scaling AI-driven platforms, developing RESTful APIs, integrating third-party services, and collaborating with teams on product features.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.

As a Chatdesk Expert, you'll provide customer support through social media and email, ensuring great experiences, flexible schedules, and work from anywhere.

As a Full Stack Engineer, you'll build backend services and tools for AI agents, integrate APIs, define interfaces, automate workflows, and apply DevOps best practices. You'll collaborate with teams to design solutions that address business challenges through automation.

The AI Deployment Engineer manages the technical integration of CrewAI's platform with customers, ensuring successful deployment and customer relationships post-sale while addressing technical challenges and optimization needs.