Top Artificial Intelligence Jobs in Portugal

Build and integrate AI-powered features and models, implement RAG and vector search pipelines, optimize LLM inference and CI/CD, collaborate with cross-functional teams, run experiments and evaluations, and deliver scalable, production-ready AI systems.

Serve as the technical and product expert for Zendesk AI, guiding customers through configuration, integrations, adoption, and optimization. Drive on-time project delivery, change management, training, and cross-functional collaboration to ensure measurable business outcomes, retention, and scale of AI solutions.

The role involves providing technical solutions, guiding customer AI adoption, project management, and ensuring successful AI solution delivery while maintaining high customer satisfaction.

The Senior ML Engineer will collaborate with ML Scientists, lead discussions on system design, manage ML projects, and develop scalable infrastructure for ML features.

Lead a team of Machine Learning Engineers, deliver AI/ML features, improve software reliability, and foster a diverse work environment.

Lead the development of a SaaS platform, mentoring a team and integrating AI capabilities while driving architectural decisions and ensuring alignment with business goals.

The role involves leading AI infrastructure research, providing strategic guidance to clients, developing insights, and mentoring junior analysts while addressing complex AI-related challenges in enterprise computing.

Design and execute integration test plans focusing on automation, validate AI components within trading platforms, and mentor junior engineers.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The AI Success Strategist will oversee customer AI roadmaps, ensuring alignment with business goals, driving AI adoption, and improving retention metrics.

Lead design for Zendesk Knowledge, creating AI-driven knowledge and Help Center experiences. Partner with PMs, engineers, researchers, and content strategists to prototype, test, and deliver interaction models, flows, and high-fidelity designs that scale and improve conversational AI and self-service outcomes.

The Robotics ML Expert designs and implements MuJoCo simulations, develops RL algorithms, and collaborates on robotics research and AI training.

The People Analytics, Digital & AI Expert enhances People processes through analytics and technology, driving data governance, AI adoption, and digital solutions within the organization.

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.

Design and build production-grade GenAI platform components and backend services that integrate LLMs, embeddings, and agent frameworks into secure, scalable financial risk products. Define standards, drive architecture, ensure observability and operational ownership, and collaborate with product, data science, and engineering to deliver AI-powered user experiences.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

The AI Lead Engineer will oversee a team developing scalable AI solutions, focusing on generative AI, agent-based systems, and collaboration across business and technology teams while ensuring security and governance standards are met.

Lead cross-functional engineering teams to deliver high-quality AI products. Oversee system performance, manage staffing, and ensure architectural excellence in AI.

The role requires training large language models to improve code quality, involving code review, ranking, and feedback integration for reinforcement learning.

The role involves training large language models to improve code quality by reviewing and refactoring AI-generated code, providing feedback to enhance the learning process.

The engineer will train large language models to write code, review and refactor AI-generated code, and inject feedback into a reinforcement learning pipeline.

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 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.