Top Artificial Intelligence Jobs in Barcelona

The AI GTM Engineer will design and govern AI agent infrastructure for marketing, building automated workflows and ensuring compliance with brand voice and data security standards.

As a Tech Lead in the AI Lab, you'll lead a team of engineers, set technical direction, and code 70% of the time while mentoring junior staff.

Lead the design of scalable data and AI solution architectures on Google Cloud Platform, supporting implementation, troubleshooting, and optimization of data initiatives.

Design and deploy AI-driven solutions for data analytics and machine learning. Collaborate across teams to build MLOps, optimize costs, and ensure model performance.

The AI Engineer will design, build, and deploy AI solutions, focusing on data analytics and machine learning, and collaborate with interdisciplinary teams.

The role involves designing and implementing low-code AI solutions, developing workflows, and improving automation for business processes across various domains.

The AI Transformation Lead will accelerate AI adoption by identifying opportunities, translating challenges into AI solutions, and driving organization-wide change.

As a Senior AI Product Manager, you will own the AI Travel Agent product, leading the full post-booking servicing scope while collaborating with engineering and customer success on product discovery and delivery.

This role involves managing Microsoft Commercial Marketplace integrations, evaluating opportunities, conducting feasibility assessments, and leading R&D for novel API integrations and enhancements.

As an AI Engineer, you'll build production-ready AI solutions, improve processes with AI insights, and collaborate with product teams to enhance platform interactions.

As an AI Engineer, you will build AI agents for preventive health, focusing on reasoning, clinical workflows, and ensuring reliable production systems.

The AI Content Expert II will generate annotations and training data for Large Language Models across multiple formats, ensuring quality and compliance with guidelines while collaborating with scientists and engineers.

Lead data science initiatives, driving innovation with AI and analytics, while influencing strategic decisions and managing team resources effectively.

Seeking a Full-Stack Software Engineer to build the core of an Agentic AI Platform. Responsibilities include frontend and backend development, product design collaboration, and infrastructure management with a focus on clean, maintainable code.

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.

As an AI Product Manager, you'll shape the AI product roadmap, collaborate with cross-functional teams, and ensure AI technologies meet user needs and business objectives.

As an AI/ML Engineer, you will develop and optimize machine learning models for mobile applications, collaborate with teams to enhance user experiences, and implement AI techniques to improve app performance.

The Research Scientist will leverage Generative AI and ML to solve business problems, design experiments, and recommend scalable solutions, collaborating with stakeholders.

Join the AI Engineering team to design, build, deploy, and scale production AI systems. Translate business problems into AI solutions, industrialize ML models, design AI pipelines and platforms, ensure performance and monitoring, and drive MLOps best practices across architecture and governance.

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.

Manage and deliver AI/ML projects, ensuring strategic alignment and adoption across functions. Oversee project phases and facilitate change management for AI-driven innovations.

As an AI Machine Learning Engineer, you'll develop and deploy AI solutions, implement MLOps workflows, and partner with stakeholders to translate business challenges into technical requirements.

Lead the Generative AI team to develop production-ready AI applications. Oversee strategy, team management, technical guidance, and stakeholder collaboration to enhance innovative AI solutions across N26's business.

The Senior Product Manager will lead the Applied AI Learning team to create intelligent, personalized learning experiences by managing the product portfolio and ensuring effective utilization of data for learner progress.