Top Artificial Intelligence Jobs in Madrid

The VP Analyst leads Gartner's AI strategy, creating insights, conducting analysis, advising clients, and mentoring team members. They engage with clients to address market trends and challenges.

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.

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.

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

Lead AI strategy and roadmap for Observability, embedding LLMs, RAG, vector search, and ML into log analytics, incident investigation, and SRE workflows. Partner with engineering, UX, sales, and customers to deliver AI-driven features, validate solutions, and drive adoption.

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 Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

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 Tech Lead Engineering, AI is responsible for shipping features quickly while maintaining quality by leveraging AI tools for development. They collaborate with cross-functional teams, make technical decisions, and ensure robust product delivery from design to deployment.

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

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 Backend Engineer will build and scale backend services and APIs, improve system performance, and design scalable architectures in a collaborative environment using AI coding tools.

The Founding Fullstack Engineer will develop and ship end-to-end product features across frontend and backend, optimize user experience, and integrate AI capabilities while ensuring system performance and scalability in a fast-paced startup environment.

The AI Growth Marketing Manager will build an AI-powered growth engine targeting enterprise-level clients, focusing on automated lead generation, marketing initiatives, and collaboration with top advertising partners.

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

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.

The Back-End Engineer, AI develops robust backend solutions using AI tools, collaborates with teams, and ensures high-quality product delivery while maintaining coding standards and performance optimization.

Lead transformation of business processes with AI-driven workflows, oversee automation lifecycle, integrate systems, and build data insights.

The AI Developer will design, implement, and deploy AI agents and workflows, integrating advanced models and ensuring reliable performance in production environments.

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 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.

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

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.