Top Artificial Intelligence Jobs in Spain

The Corporate Finance AI Expert advises finance leaders on AI strategies, governance, and implementation while producing insights on finance processes and AI technologies.

Responsible for designing, building, and maintaining AI/ML products, implementing automated pipelines, and supporting lifecycle management while collaborating with cross-functional teams.

The role focuses on improving AI cluster resiliency through AIOps solutions, automation workflows, and customer engagement for installations and troubleshooting.

As an AI Scientist, you'll develop AI models from large datasets, collaborate with experts, translate business challenges into scientific solutions, and stay updated on AI research.

Analyzes large datasets for data-driven business decisions and develops machine learning models and algorithms for practical applications.

The Director Analyst will create valuable research for clients in cybersecurity, analyze market trends, and support sales efforts with insights and presentations.

Lead and manage AI governance initiatives, ensure compliance with regulations, facilitate stakeholder engagement, and develop impactful AI education programs.

The Global Category Manager will lead strategic sourcing and supplier management for AI-related products, ensuring alignment between procurement and AI program objectives while driving innovation and cost efficiency.

As an AI Solution Architect, you will drive the adoption of AI solutions, guide product implementation, support sales efforts, and ensure customer success while integrating GenAI technologies into client operations.

The AI Engineer will develop software for machine learning projects, collaborating with data scientists while focusing on software development best practices and support for model building.

The AI Specialist responds to customer inquiries, troubleshoots tech issues related to AI, and collaborates with teams for client satisfaction.

As an AI Engineer, you will develop, deploy, and maintain AI systems, collaborating with AI Scientists and Data Engineers to ensure efficient production models and integration with existing systems.

The AI Technology Lead will drive AI adoption, manage integration of AI technologies, facilitate an AI Tech Community, and align AI strategies with business needs.

As a Senior AI Architect, you will design AI architectures, ensuring systems are scalable and secure, while collaborating on innovations in intelligent systems.

Lead the development and scaling of technology-enabled Safety/Pharmacovigilance solutions, manage cross-functional teams, and drive innovation with customers and partners.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.

The role involves supporting digital transformation by improving user experience with Salesforce, collaborating on app development, and organizing user testing sessions.

As a Lead Full Stack Engineer, you will drive the technical strategy and development of our SaaS insurance platform while mentoring engineers and overseeing AI integration.

Design and implement Salesforce-based contracting solutions, oversee technical architecture and lead development teams during project lifecycle.

Lead the design and evolution of AI architectures at Kyndryl, ensuring quality and scalability while driving innovation across multidisciplinary teams. Mentor professionals and align technology with business strategy for impactful solutions.

Lead the design and integration of AI solutions in financial services, ensuring customer satisfaction and technical solution alignment while mentoring technical teams and maintaining compliance.

The role involves developing AI solutions for financial institutions, focusing on generative AI and LLM-based applications like chatbots, document processing, and voice solutions. You'll work with AWS services to improve customer interactions and compliance.

As a DevOps Engineer, you will design and manage CI/CD pipelines for AI solutions, support cloud infrastructure, and implement MLOps best practices.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Lead the technical direction for AI Creativity apps, manage a cross-functional engineering team, and design end-to-end architecture, focusing on user experience and technical excellence.