Top Artificial Intelligence Jobs in Spain

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.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The intern will assist in building AI applications, developing and testing machine learning models, and supporting data analysis and evaluation while gaining hands-on experience in AI engineering practices.

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

The AI Office Lead drives AI strategy, governance, education, and community building within Cigna's International Health department, ensuring compliance and organizational alignment in AI efforts.

As an Onboarding Consultant, you'll drive customer engagement and success with CloudTalk's AI suite, ensuring timely adoption and effective use of the platform.

Lead architecture and design of cross-team AI systems, define engineering and operational best practices, ensure reliability and scalability, drive LLM and AWS-based solutions, mentor engineers, and represent technical expertise in hiring and community events.

Own and build Python-based microservices and scalable AI tooling end-to-end. Design, deploy and debug distributed, cloud-native solutions (IaC, Kubernetes, serverless). Measure impact with metrics, troubleshoot complex cross-environment issues, and iterate proactively to deliver resilient, production-ready systems.

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

The AI / Machine Learning Researcher will conduct applied research, develop prototypes, and work with data to create AI-driven features related to home design.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

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.

As an Artificial Intelligence Lead, you will develop and implement AI strategies in the Insurance domain, enhancing processes like underwriting, pricing, and claims automation while managing cross-functional teams and ensuring compliance with regulations.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

As an AI Software Development Engineer Intern at Ferrovial, you'll contribute to AI-powered software components, learn AI development practices, and support teams in utilizing AI tools.

Develop and deliver a production-ready banking platform as part of a multidisciplinary team, collaborating on new functionalities and technical improvements in a Scrum environment.

As an iOS Engineer, you will design and develop mobile banking products, improve features, ensure quality through testing, and collaborate with teams to innovate in banking technology.

Lead the strategic development and implementation of AI technologies across Wealth Management and Insurance, driving digital transformation through advanced AI solutions while ensuring compliance with ethical guidelines.

Lead the AI & Data department: develop, train, validate, and deploy ML/DL models including forecasting and generative AI; build and maintain robust data pipelines, ETL, and BI dashboards; manage model versioning, monitoring, and production retraining.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.