Top Artificial Intelligence Jobs in Lisbon

The Vice President leads initiatives for Consulting Services, focusing on knowledge management and AI use cases to improve team productivity while mentoring teams.

Lead AI enablement for Capacity Planning by identifying high-value AI use cases, delivering PoCs, building an AI roadmap, developing AI-powered knowledge and analytics solutions, and partnering with technology and data teams to operationalize scalable, secure, and governed AI workflows.

Lead AI initiatives for Datadog Notebooks by designing, developing, and deploying ML/AI-driven features, including robust agent systems and enhanced user experiences.

Lead technical projects for the Workers AI team focused on deploying AI inference, building innovative features, and enhancing developer experience.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The intern will help improve workflows at Cloudflare by analyzing current processes and devising AI-driven automation solutions, developing AI agents, monitoring operational metrics, and integrating knowledge sources.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

As a People Team Intern, you will assist in HR operations and AI innovations, focusing on project management, process optimization, and data analysis while supporting various HR functions.

The role involves developing AI-driven security capabilities, collaborating with teams, and following the latest AI research to enhance security features.

Join the AI Crawl Control team as a Frontend Engineer, building innovative products focused on security and speed for internet users. Collaborate effectively with design teams and drive product features based on technical capabilities. Help achieve ambitious engineering goals in a fast-paced environment.

Lead complex IT internal audit engagements, develop risk-based audit programs, evaluate cybersecurity measures, and prepare audit reports. Act as a trusted advisor on technology risks.

Lead development of Datadog's MCP Services to enable agent interactions with metrics, logs, and incidents. Design agentic tool surfaces, build evaluation pipelines for agent performance, diagnose failures, and collaborate with Applied AI and internal teams to standardize tool integration and data access.

Lead design, development, and deployment of AI-driven Notebook features. Drive technical strategy, prototype and scale ML systems, build agent workflows, define evaluations, coordinate cross-team integration, and mentor engineers.

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.

As a Senior Web Developer at Snyk, you will lead the development of the global marketing website, mentor junior developers, and manage technical architecture and project delivery, ensuring high performance and accessibility standards are met.

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 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.

As a Staff AI Engineer at Datadog, you'll enhance the MCP Services by enabling intelligent agents to interact with Datadog data, leading design and implementation efforts, and building evaluation pipelines for agent performance.

Develop ML and AI products, optimize pipelines, collaborate with teams, mentor junior engineers, and resolve production issues in a high-scale environment.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

The Senior Product Manager will develop Feedzai's Transaction Fraud solutions, coordinating with cross-functional teams and managing customer feedback to enhance product strategy and execution.

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.

Design and build intelligent, scalable enterprise AI solutions using generative AI and agent-based systems, ensuring production readiness. Collaborate with multiple teams to identify AI opportunities and optimize AI solutions.

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.

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.