Top Artificial Intelligence Jobs in Lisbon

Manage global AI-focused B2B marketing campaigns, create compelling narratives, develop content, and partner with various teams for successful campaign execution.

As a Performance Marketing Strategist, you will analyze and optimize acquisition campaigns, leverage AI tools for creative strategies and leadership, and manage external agencies to enhance campaign effectiveness.

Lead AI initiatives for Datadog Notebooks by designing, developing, and deploying ML/AI-driven features, including robust agent systems and enhanced user experiences.

The Data Science Manager will lead teams of data scientists and machine learning engineers to execute Feedzai's product AI vision, managing technical projects and recruiting top talents, while providing technical leadership and ensuring project success.

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 AI-Native Engineer will design intelligent systems for an AI-native ecosystem, streamline workflows, and collaborate on innovative solutions in software engineering.

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

The role involves designing and building AI applications, integrating tools for internal and customer use, and utilizing frontend technologies. Collaborate with teams to create workflows using existing AI models and open-source tools.

The AI Transformation Lead will drive AI culture and adoption across the organization, coordinate the AI Guild, and identify impactful AI use cases, ensuring responsible and effective AI usage and measuring its impact.

The AI Automation Engineer will design, build, and implement AI solutions for internal teams at Rydoo, enhancing workflows and operational efficiency.

As Head of Data & AI, you will lead Data Engineering, Data Science, and Analytics teams to build an AI-ready data platform, optimize pricing and enhance customer experiences through actionable data insights.

As an AI Engineer, you'll design and build AI systems for production applications, focusing on client solutions and maintaining system performance through evaluations and observability.

The ML/AI Tech Lead will improve search algorithms, integrate AI features, design new functionalities, and manage a development team, advancing user query relevance.

Lead strategy, production, and commercial performance for owned casino games. Own roadmap, vendor management, end-to-end production, RTP/volatility strategy, live operations, and post-launch performance.

Lead design, development, and deployment of AI-driven Notebook features. Drive technical strategy, prototype and scale ML systems, build agent workflows, define evaluations, coordinate cross-team integration, and mentor engineers.

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 Technical Product Manager will define and drive AI-related product strategies, collaborating with cross-functional teams to enhance developer workflows. Responsibilities include roadmap execution, understanding user needs, and ensuring successful product launches.

The Senior Data Engineer will drive innovation using AWS and big data technologies, collaborate with teams, and ensure data integrity while architecting pipelines and enabling AI-powered data products.

The AI QA Engineer designs and executes tests for AI-driven customer service agents, focusing on quality metrics, automation frameworks, and cross-functional collaboration. They ensure reliable AI performance by validating workflows and addressing biases and safety standards.

The AI Specialist will identify AI opportunities, transform processes through tech-driven solutions, implement AI tools, and manage project execution from concept to deployment while advising on best practices.

The Lead AI Engineer will lead the AI Ops team, developing automations and AI agents to improve internal operations and customer service in a fintech setting, while managing engineers and prioritizing tasks effectively.

The AI Designer will create UI concepts using AI tools and manual design, focusing on visual storytelling, usability, and product-ready design. Responsibilities include AI-driven creation, rapid ideation, refinement of designs, building UI systems, and ensuring high-quality execution.

Lead the product team at Zego, driving strategic direction and AI integration, managing cross-functional programmes, and mentoring PMs to enhance product impact.

As a Lead AI Engineer, you will design scalable AI systems, optimize natural language querying, and integrate data engineering with AI capabilities to enhance business insights.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.