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 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.

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.

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 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.

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

The Senior AI Engineer develops and maintains machine learning applications, focusing on NLP and statistical methods to enhance customer experience and innovate product offerings.

As part of the Advanced Analytics and AI team, you will develop and deploy machine learning models, engage with business functions to create AI opportunities, and support AI capability roadmaps, all while working in a collaborative international environment.

The AI Enablement Manager drives AI adoption, managing enablement programs and training AI Champions, ensuring teams become self-sufficient in AI workflows.

Lead AI transformation strategies for clients, conduct workshops, develop AI solutions, enhance internal AI literacy, advise on organizational change, and build partnerships in the AI ecosystem.

As Lead AI Consultant, you will direct AI transformation strategies, advise clients on AI implementation, and lead internal training on AI literacy while anticipating future organizational shifts due to AI advancements.

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.

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.

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

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.

Designs and implements AI-related software features, participates in requirements analysis, development, testing, documentation, and release processes; builds models and algorithms; debugs issues; communicates with partners and suggests platform improvements.

As an AI Developer, you will develop software features related to AI, participate in projects, perform requirements analysis, write quality code, and troubleshoot. You are expected to have a minimum of 3 years of experience and a degree in a tech-related field.

The AI Engineer will develop AI applications, create evaluation pipelines, and collaborate in multi-disciplinary teams to optimize hardware design processes.

The Product Manager will drive growth for an AI-powered writing assistant, focusing on product strategy, development, AI innovation, and performance optimization, while leading cross-functional teams.

The AI Engineer will design and implement AI/ML pipelines, work on GenAI applications, and improve telecom network operations through intelligent automation and predictive insights.