Top Artificial Intelligence Jobs in Lisbon

Responsible for building and evolving an AI tutoring system, running experiments, collaborating with teams, and ensuring quality in model behaviors.

The Staff AI Engineer will design and implement components for an AI tutoring system, drive experiments, build scalable systems, and collaborate closely with product teams to enhance learning experiences.

As a Principal AI Engineer, you'll build and evolve AI tutoring systems, run experiments for learning effectiveness, design software, collaborate across teams, and prototype AI interactions.

As a Staff AI Engineer, you will design and implement key components of an AI tutoring system, drive experiments to improve model performance, build reliable production systems, and translate product goals into technical solutions while collaborating closely with non-engineering stakeholders.

Lead the architectural direction for Generative AI initiatives, establish CI/CD pipelines, mentor engineers, and drive AI experimentation for logistics solutions.

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

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 Technical AI Architect will design scalable AI architectures, ensuring alignment with business needs and enterprise standards, while promoting sustainable solutions and integrating new technologies.

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.

Develop and maintain AI and ML algorithms, create data pipelines, collaborate with cross-functional teams, and implement solutions for business requirements.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

The AI Engineer Tech Lead will drive technical development of a Graph AI platform, improving the relationship graph and building AI-driven systems.

The AI Engineer will optimize AI models, design scalable systems, and collaborate on enterprise AI applications, focusing on production systems and performance.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

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.

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

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.

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 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.

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.

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 SEO & AI Search Manager will develop and execute comprehensive SEO strategies to boost organic growth and visibility across AI-powered search platforms, collaborating closely with multiple teams and driving measurable results in traffic and revenue.

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.