Top Artificial Intelligence Jobs in Spain

The AI Product Manager will lead the AI product strategy, oversee development, and collaborate with teams to deliver innovative AI solutions that drive customer value.

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.

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

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

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

Build, operate, and maintain internal AI-driven automations (primarily in n8n) to connect tools, data, and LLMs. Ensure reliability, scalability, security, and usability while partnering with Product, Engineering, and business teams to reduce manual work and standardize best practices.

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.

Partner with Value Stream leadership to identify, evaluate, and implement AI and digitalization solutions (ML, NLP, CV, RPA, GenAI). Lead feasibility studies, proofs-of-concept, take solutions through testing and rollout, and monitor adoption. Collaborate with delivery, IT and Lean teams to ensure scalable, interpretable, and responsible AI deployments for automotive and mobility clients.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

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.

Lead the design and delivery of AI-driven workflows, integrating modern technologies into editorial systems while mentoring engineers and collaborating with teams.

As an AI Product Engineer, you will design and develop AI agent workflows, evaluate technology stacks, and prototype innovations to enhance educational materials. Collaboration and documentation are key to sharing AI knowledge within the team.

As a Finance AI Application Specialist, you'll manage and optimize financial systems, implement AI solutions, collaborate with finance teams, and provide support.

The CRO Manager will optimize conversion rates through AI-driven experimentation and analysis, managing end-to-end CRO cycles and collaborating with engineering teams.

The Product Manager will drive the growth of an AI-powered business writing assistant through product strategy, development, and performance optimization, collaborating with cross-functional teams.

As an Onboarding Executive, you will facilitate the onboarding process for new clients, ensuring smooth implementation and effective communication while building AI assistants tailored to client needs.

Assist clients with AI-related technical issues, providing support, troubleshooting, and collaborating with internal teams to ensure customer satisfaction.

The AI Engineer will design and implement AI/ML pipelines, work on GenAI applications, and improve telecom network operations through intelligent automation and predictive insights.

The AI Architect will design scalable AI solutions, manage AI models, guide data architecture, and advocate for responsible AI principles within a collaborative environment.

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

Lead development of production-grade MLOps pipelines and Generative AI solutions on AWS. Work directly with startup Data Science/R&D teams to design, implement, and deliver end-to-end GenAI projects, ensuring customer success from inception to completion.

Lead the development of computer vision systems for scene understanding, manage technologies, mentor engineers, and stay updated on AI trends.