Top Artificial Intelligence Jobs in Spain

The Staff Product Manager will lead the AI-powered Managed Detection and Response (MDR) offering, driving product strategy, development, and stakeholder engagement while leveraging market insights to enhance product performance.

As a Sr. Product Manager, you will lead the development of AI-powered pricing tools, collaborating with data scientists and engineers while focusing on customer needs and data-driven decisions.

As a Senior Software Engineer, you will develop features for the AI Ecosystems team, utilizing TypeScript, NodeJS, and work with databases to enhance customer integration capabilities.

Lead a creative team in digital marketing, optimize campaigns using AI tools, develop creative frameworks, and mentor team members.

The role involves architecting and designing scalable AI systems for payment processing, collaborating with cross-functional teams, and integrating innovative AI technologies.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

The Group Privacy Lead Counsel will drive privacy governance for innovative products and AI compliance, managing privacy assessments and contributing to regulations like the EU Data Act.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The AI & Automation Engineer will design, develop, and deploy AI solutions to optimize business processes, collaborate with stakeholders, and drive AI literacy within the organization.

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

The Senior ML Solutions Architect will design and deliver scalable ML solutions, guide customers, and implement MLOps pipelines, requiring extensive experience in AI technologies.

Lead privacy governance for innovative products, manage cross-functional privacy assessments, and ensure regulatory compliance in AI and data practices.

The role involves architecting and building high-performance Golang microservices, enhancing ML infrastructure, and developing scalable data solutions. A focus on cloud-native architecture and strong technical leadership is essential.

In this role, you will drive the adoption of AI tools in software development by integrating AI tooling, leading cross-functional initiatives, and promoting change management within the organization.

Lead the Customer 360 roadmap, ensuring comprehensive data integration and management to enhance customer experience through actionable insights and AI adoption.

The Marketing Manager will drive qualified leads, accelerate deals, and increase awareness for AI Safety Services through campaigns and events. This role requires collaboration with sales and product teams and demands strong project management and data analysis skills.

The AI Engineer will design AI solutions, develop prototypes, enhance user experience, and improve operational efficiency using advanced AI and ML techniques.

As an AI Automation Engineer, you'll analyze operations, identify automation opportunities using AI, and deliver scalable solutions integrated into company workflows.

Lead and develop an AI-native engineering organization, focusing on engineering excellence, talent development, and automating workflows for financial services clients.

The Staff AI Engineer will design and deliver AI agents, oversee their development lifecycle, integrate tools and data, ensure compliance, and optimize performance, collaborating cross-functionally to meet business objectives.

As Product Owner of AI Solutions at Sanoma Learning, you will shape product vision, manage product backlog, coordinate releases, champion data-driven decisions, and ensure ethical AI practices.

Lead a team of engineers in developing ML solutions, focusing on LLMs and AWS cloud services, while managing projects and fostering team growth.

Responsible for developing and launching AI-powered solutions, overseeing integration within core operations, and driving product strategy aligned with business objectives.

The Expert Engagement Manager will lead client collaborations, ensure delivery of AI solutions, manage client relationships, and drive value creation.

Responsible for implementing and maintaining AI chatbot applications and scalable web applications, managing Kubernetes platforms on AWS and Azure, and collaborating with stakeholders.