Top Artificial Intelligence Jobs in Spain

Responsible for processing global contracts, supporting sales and procurement, implementing contract management systems, and assisting with various legal matters.

Manage and implement AI-based customer service automation projects, improving user experience and performance across various channels and metrics.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

Lead the development of high-fidelity simulations and validation workflows for robotic systems, focusing on sensor simulation and mechanical modeling to ensure reliable performance in real-world and virtual environments.

Lead the development of AI perception systems, design models for real-time localization and multimodal fusion, and collaborate with engineering teams.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

Lead the development and launch of AI-powered shopping products, defining vision, collaborating with teams, and analyzing performance to enhance user experiences.

Design, build, and operate low-latency multi-agent LLM systems. Ensure high-quality real-time communication and optimize prompt programming and retrieval processes.

The role requires a Senior Full-Stack Software Engineer skilled in TypeScript and React, adapting to dynamic environments and collaborating cross-functionally in AI-powered projects.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

The role involves leading system design, ensuring technical excellence, mentoring team members, and collaborating with multiple teams to drive impactful AI solutions.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

As a Full-stack Software Engineer at Alan, you will build developer tools, internal platforms, and AI-native infrastructure to enhance workflows for engineers and non-engineers.

Develop and enhance the Ops AI Platform, focusing on building AI agents for operational tasks, integrating them with internal tools, and ensuring user autonomy in operations. Mentor engineers and influence system architecture.

You will develop AI systems for customer support, enhance member interactions, and scale operations from 1M to 10M users while mentoring engineers and influencing system architecture.

The Senior Director Analyst leads AI business strategy, advises clients on AI adoption, and produces thought-provoking content and research insights to drive business outcomes for technology leaders.

Drive AI product adoption and sales growth, achieve sales quotas, nurture customer relationships, and collaborate with sales teams, leveraging deep AI knowledge.

The Product Manager leads the development of AI-centric software products by coordinating between users and engineering teams, managing the product backlog, defining KPIs, and ensuring technical feasibility of features, all while enhancing user and developer experience.

Lead end-to-end product management for the Student Assistant AI product: define vision and roadmap, coordinate cross-functional teams, manage discovery to launch, prioritize backlog, run Scrum rituals, and use analytics, experiments, and user research to optimize outcomes while ensuring ethical AI and data privacy.

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.

Join the AI Engineering team to design, build, deploy, and scale production AI systems. Translate business problems into AI solutions, industrialize ML models, design AI pipelines and platforms, ensure performance and monitoring, and drive MLOps best practices across architecture and governance.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.