Top Artificial Intelligence Jobs in Lisbon

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

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

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.

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.

The Lead AI Engineer will design and implement AI-powered data systems, focusing on agentic frameworks, NLP, and collaboration with data engineering teams.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

The Principal Manager, Applied AI leads AI-native transformation, optimizing corporate functions, managing R&D outputs, and ensuring effective alignment with strategic business goals. Responsibilities include overseeing the integration of AI into workflows, managing the innovation backlog, and driving change leadership for AI adoption across functions.

The Principal AI/ML Scientist & Engineer will lead a team, focusing on AI/ML strategy and developing data products for business outcomes.

The Senior ML Scientist is responsible for researching and building machine learning solutions for AI capabilities, collaborating closely with teams to improve customer support systems using ML techniques.

As a Staff Frontend Engineer, you will lead frontend feature delivery, collaborate across teams, ensure high-quality UI, and mentor junior engineers for the AI Copilot organization.

The Senior Machine Learning Engineer will build and deploy sophisticated AI systems, focusing on Large Language Models, to drive business value and enhance customer experience through machine learning solutions.

The AI Program Manager will centralize AI governance, align initiatives with business objectives, develop AI roadmaps, and drive change management to enhance AI adoption across the organization.

Design, build, and own microservices and APIs, manage cloud infrastructure, collaborate with AI teams, and champion engineering standards.

The Senior Fullstack Engineer will design, implement, and deliver AI-powered frontend and backend features, ensuring high quality and performance while collaborating with cross-functional teams.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

The Principal Product Designer will drive product design strategy, mentor other designers, and lead complex design initiatives while ensuring high-quality, user-centered design practices.

As an AI Implementation Specialist, you will lead AI deployment, integrate solutions across markets, and collaborate with teams to drive product implementation and ensure model performance.

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.