Top Artificial Intelligence Jobs in Portugal

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.

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.

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

The Director of Regulatory Affairs leads technology strategies and digital transformations for regulatory teams, ensuring delivery of a robust technology portfolio while managing governance and stakeholder relationships.

Lead data product strategy and delivery for Operations, driving value through data, analytics, and AI. Collaborate with various teams to prioritize and execute projects, ensuring alignment and efficiency.

As a People Team Intern, you will assist in HR operations and AI innovations, focusing on project management, process optimization, and data analysis while supporting various HR functions.

Join the AI Crawl Control team as a Frontend Engineer, building innovative products focused on security and speed for internet users. Collaborate effectively with design teams and drive product features based on technical capabilities. Help achieve ambitious engineering goals in a fast-paced environment.

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 data science initiatives to develop AI-driven solutions for healthcare. Collaborate across teams to transform data into actionable insights and manage resources effectively.

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 Solutions Engineer will provide business-driven consulting to customers, ensuring pre-sales support, solution architecture, and post-sale engagement, while addressing C-level discussions to expand revenue opportunities.

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

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.

As a Full Stack Engineer, you'll design and deliver backend services, build AI agent tools, integrate APIs, and automate workflows, while ensuring operational excellence and CI/CD practices.

The MTS Digital & AI Product Owner will define and build AI-powered products, lead agile delivery, manage stakeholders, and oversee product strategy and analytics for TechOps at Ferring Pharmaceuticals.

Leading AI initiatives and transformations within product management, guiding teams on AI adoption, and designing AI-integrated workflows while promoting organizational change.

As a Senior Data Engineer at SIXT, you will drive innovation in data engineering, architect data solutions, ensure data integrity, and enable AI-powered data products while collaborating with cross-functional teams.

The role involves driving social media growth through data and AI, focusing on performance marketing strategies for Instagram and TikTok. Responsibilities include media planning, performance optimization, design of AI dashboards, and collaboration with external partners.

As an AI QA Engineer, design and execute test plans for AI systems, monitor quality metrics, and improve testing frameworks while collaborating with teams.

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.

As a Fullstack Software Engineer II at Zendesk, you will develop AI-powered product features, collaborate with cross-functional teams, and improve systems while engaging in technical design discussions.

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.

Evaluate the quality of interactions with AI coding agents like OpenAI Codex and Claude Code, focusing on engineering judgments and feedback on their responses.