Top Artificial Intelligence Jobs in Seville

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

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.

The role entails technical pre-sales support, client engagement, and project initiation in AI solutions, requiring strong technical and communication skills.

The role involves technical sales support, client engagement, project initiation, designing data solutions, and leading strategic assessments in Data and AI.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

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.

Design, build, and maintain a Kotlin-based, reactive AI agent framework/platform. Ensure performance, scalability, and code quality; troubleshoot bottlenecks; produce documentation and automation for internal developer use.

Join Leadtech as a Senior AI Full Stack Developer to build and scale an innovative platform utilizing AI agents. You'll develop features across a modern tech stack, manage user authentication, and integrate with various APIs.

The AI Training Specialist will design and deliver training programs to help employees adopt AI tools, adapting sessions for various audiences, and creating engaging learning experiences.

The role involves building AI-driven products, designing intelligent workflows, and developing data pipelines for efficient AI integration and automation.

As Lead AI Architect, you will design AI foundations for automation-focused products, oversee multi-agent systems, and lead technical direction for scalable AI architectures.

As Head of Data Engineering, you'll lead the design and implementation of a reliable data platform, managing a team and ensuring data quality while integrating with AI and product teams.

You will lead AI/ML projects, develop end-to-end solutions, mentor peers, and drive sales strategies while collaborating with multidisciplinary teams.

The Tech Lead will manage and enhance the architecture, training, and deployment of AI models, ensuring high standards of moderation and context management while driving substantial user impact.

The role involves deploying AI solutions, optimizing RAG pipelines, collaborating with Fortune 500 clients, forecasting opportunities, and leading demos.

As a Senior AI Engineer, you will lead project planning, deliver AI solutions, and provide consultancy focused on cloud platforms and Databricks. You'll also engage with clients and assist in establishing a local hub in Spain.

The Senior Product Manager will lead the strategic roadmap, conduct market research, manage monetization strategies, and mentor a team while collaborating across various departments.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

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.

As an AI Platform Engineer, you will automate workflows, design AI-driven systems, integrate LLM-based capabilities, and enhance operational efficiency.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The Senior AI Engineer will develop and enhance AI-powered payment solutions, collaborate with teams, and integrate new AI technologies.

The role involves architecting and designing scalable AI systems for payment processing, collaborating with cross-functional teams, and integrating innovative AI technologies.