Top Artificial Intelligence Jobs in Spain

As an AI Application Product Manager, you will design and develop AI applications to enhance decision-making processes, focusing on UX, and collaborate across teams to drive product development.

Develop AI applications and solutions to enhance business processes using the Celonis platform, focusing on prediction, simulation, and anomaly detection.

Develop and implement AI applications focused on prediction, simulation, and anomaly detection, enhancing decision-making for clients using innovative solutions.

Manage AI application products, enhance solution suites with AI capabilities, collaborate across teams, and build user-friendly applications using ML techniques.

As an Associate Principal AI Application Product Manager, you will enhance domain-specific AI solutions, develop user-friendly AI applications, and collaborate across teams to integrate AI capabilities into products.

Develop AI applications focusing on prediction, simulation, and anomaly detection. Collaborate with various teams to enhance AI capabilities and improve decision making.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

The Project Manager will lead software integration projects in the life sciences sector, managing resources, tracking progress, and ensuring timely delivery while collaborating with various stakeholders to improve platform solutions.

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.

As an Associate Applied AI Engineer, you'll support customers applying AI solutions, leveraging Celonis Process Intelligence to resolve their business challenges. The role involves customer engagement, developing tailored AI solutions, and mentoring within the Value Engineering team.

The Senior Data & AI Strategist will lead data and AI transformation initiatives, advise clients, and ensure impactful strategy delivery, while mentoring team members.

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 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 VP of Trade Payables will develop and manage trade payables products, conduct market research, and foster innovation, collaborating with various teams to ensure product effectiveness and integration.

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.

Design and implement complex simulation architectures, develop modules and tools for simulators, and perform testing in an Agile environment.

The Test Engineer will define test methods, manage telemetry analysis, validate results, and contribute to flight test programs, ensuring quality across testing processes.

The Simulation Software Engineer designs, develops, and tests software modules for simulation systems, particularly in the aviation and defense industry, while promoting Agile methodologies.

Design and implement complex simulation architectures for A400M, Eurodrone, and UAS, with a focus on Agile development and software integration.

The Machines & Systems Engineer will develop specifications for machines, manage projects, support maintenance, and contribute to R&T initiatives within a multidisciplinary team at Airbus.

The AI Platform Engineer will build and productize AI capabilities, design multi-tenant platforms, enable governance, and integrate protocols for scalable services.

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.

The Director Analyst evaluates AI networking technologies, predicts market trends, communicates insights to clients, and collaborates to enhance account success.

The Senior AI Engineer will enhance developer workflows by implementing AI-driven tools throughout the software development lifecycle (SDLC), focusing on context engineering and LLM integration.

The Senior AI Engineer will lead AI adoption, define production patterns, and ensure scalable AI integration into engineering workflows across platforms.