Top Artificial Intelligence Jobs in Portugal

Lead the design and delivery of AI-native solutions, focusing on technical architecture for backend and frontend. Mentor engineers and drive engineering standards.

As a Senior AI Engineer, you will design and maintain AI capabilities, develop infrastructure, create evaluation frameworks, and collaborate across teams to integrate AI into products.

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.

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

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 transformation consulting services, engage with clients, mentor teams, and ensure responsible AI practices while driving business development.

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 Developer Relations AI role involves engaging developers, creating technical content, advocating for technology, and collaborating with product teams while ensuring a positive developer experience.

As an AI Filmmaker, you will create and edit short films using AI tools, collaborating with the marketing team to align videos with the brand's message and visual identity.

As an AI Filmmaker, you will create and edit videos using AI tools, collaborate with marketing to ensure brand alignment, and manage multiple projects under tight deadlines.

As an AI Inference Engineer, you will optimize C++ systems for AI model inference on edge devices, collaborating with researchers to deploy and enhance models while ensuring runtime stability and performance.

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.

Provide customer support through social media and email, represent brands, resolve customer requests, and ensure engaging experiences.

The AI Platform Engineer will oversee the deployment and orchestration of ML and AI systems in banking products, ensuring reliability and compliance through MLOps and LLMOps workflows.

The AI Platform Engineer will build and operate MLOps and LLMOps workflows, deploy AI services, and implement observability in production AI systems.

The AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

Manage AI/ML projects from initiation to completion, ensuring alignment with goals and standards. Lead cross-functional teams, track project metrics, and oversee stakeholder communication and vendor management.

The role involves managing AI/ML project lifecycles, aligning with IT governance, and leading cross-functional teams to ensure project goals are met within budget and schedule.

The role involves leading AI initiatives as a Senior Scrum Master, focusing on process innovation, facilitating Scrum ceremonies, and acting as a liaison between technical teams and stakeholders.

Lead a small engineering team in R&D to validate new product concepts quickly. Responsibilities include technical vision, fullstack development, light research, team motivation, and partnership with product and design teams.

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.

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

Manage end-to-end delivery of B2B AI upskilling programs: translate commercial commitments into execution plans, coordinate Sales/Delivery/Admissions, oversee operations, ensure compliance with funding and certification, maintain client governance, capture impact, and improve participant journeys.