Top Artificial Intelligence Jobs in Lisbon

Lead the design and deployment of AI solutions, manage the model lifecycle, and mentor junior engineers while collaborating across teams.

Join a collaborative team to develop AI mechanics in a groundbreaking AAA game, working closely with designers and implementing advanced AI features and tools.

As a Senior MLOps Engineer, design and maintain AI cloud infrastructure, optimize model serving, and enhance operations through automation, collaborating with cross-functional teams.

Lead Lucidya's AI engineering efforts by defining the technical strategy, managing teams, and ensuring AI product scalability and reliability.

The Senior AI Engineer will lead generative AI initiatives, optimizing processes, developing applications, and guiding cross-functional teams to enhance operational efficiency and drive digital transformation globally.

The role involves designing and programming electronic circuits, developing immersive environments, and integrating AI to create interactive experiences using TouchDesigner and other creative software.

The role involves developing business by identifying opportunities, managing client relationships, leading sales processes, and understanding client needs in AI data services.

As a Mid-Level AI Engineer, you will collaborate on designing and optimizing AI solutions, working with datasets, and deploying models for business improvement.

Design and implement RPA and AI solutions, ensuring integration with BPM systems while leading architectural strategies and mentoring teams.

The Senior Engineering Manager will oversee AI platform services, leading a team in building scalable, secure, and cloud-native solutions. Responsibilities include architectural design, mentoring, backlog management, and ensuring compliance with regulations while fostering innovation in AI technology.

As a Principal QA Engineer, you'll ensure quality and security of AI services, design testing frameworks, and mentor junior testers in a collaborative Scrum team.

Design, run, and analyze credit experiments to inform lending decisions and contribute to fairer credit access for Brazilian entrepreneurs.

The Data Analyst will analyze credit experiments, build dashboards, identify trends, and ensure data quality while collaborating with data scientists to derive actionable insights.

The role involves developing AI personalization infrastructure, building retrieval systems, collaborating with product teams, and managing the end-to-end data process.

Design, scale, and maintain a cloud-native infrastructure for electricity trading operations, focusing on data pipelines, automation, and AI integration.

Lead a team of ML engineers and data scientists to develop AI solutions that enhance educational support. Oversee project execution, manage stakeholders, and ensure ethical AI practices.

As an AI Engagement Manager, lead customer engagements to drive AI-powered transformations, develop strategies, and ensure successful implementation of Adobe solutions.

As a Forward Deployed AI Engineer, you will develop and launch GenAI applications, collaborating with teams, prototyping rapidly, and automating systems while focusing on customer needs and product outcomes.

Lead and build the recruiting team, focusing on strategic hiring across tech and non-tech domains, mentor recruiters, and enhance recruitment processes.

As Principal AI Engineer, you will lead the development of advanced AI systems to optimize marketing for small and medium businesses, guiding a team and collaborating cross-functionally to implement scalable solutions.

The AI Software Engineer will develop scalable web applications, focusing on backend services and generative AI systems, while collaborating with international teams.

The Technical Lead for AI Tools will build backend systems, develop AI integrations, mentor engineers, and lead the technical direction of the team.

Design, develop, and deploy AI software leveraging LLMs and multimodal models to improve efficiency and product quality.

The Regional Account Executive will develop pipelines, nurture opportunities, negotiate contracts, and act as a trusted advisor in the AI space for customer experience.

The Lead AI/Data Engineer will transform operational analytics, build scalable data pipelines, AI insights, and lead AI initiatives for efficiency and product effectiveness.