Top Artificial Intelligence Jobs in Portugal

As a Generative AI Engineer at ResMed, you will design and deploy AI workflows on AWS, modernize systems, develop solutions, and collaborate with teams to improve healthcare technology.

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

The Tech Lead Engineering, AI is responsible for shipping features quickly while maintaining quality by leveraging AI tools for development. They collaborate with cross-functional teams, make technical decisions, and ensure robust product delivery from design to deployment.

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.

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 Quality Assurance Engineer will participate in Agile ceremonies, design automated tests with Python, apply AI-assisted techniques, and improve QA practices for optical networking solutions.

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.

As a Senior AI Infrastructure Engineer at Sword Health, you will optimize and maintain AI model infrastructure, deploy real-time AI agents, and scale GPU clusters, ensuring efficiency and performance for healthcare solutions.

Lead agentic AI initiatives to enhance drug development. Oversee AI system design and collaborate across teams, ensuring data-driven decision-making and team mentorship.

The AI Architect will develop and implement enterprise AI strategies, architect solutions, lead AI initiatives, and foster cross-functional collaboration to enhance HBK's digital landscape, ensuring compliance with responsible AI standards.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

Lead legal initiatives for data privacy and AI compliance in Europe; develop policies, provide legal guidance, manage risks, and ensure regulatory compliance.

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

Develop and operate microservice-based AI systems, integrating models and building intelligent backend components while collaborating with teams.

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.