Top Artificial Intelligence Jobs in Lisbon

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.

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 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.

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.

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 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.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

As a Senior AI Engineer, you will develop AI-assisted tools for engineering workflows, ensuring quality and reliability while collaborating with teams to optimize integration processes and testing methods.

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

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

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.

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.

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.

The AI Product Engineer will develop user-facing products, using AI to enhance decision-making in paid advertising and will own features from ideation to launch.

As an AI Specialist, you will drive customer success by implementing AI solutions, maximizing value realization, and serving as a trusted advisor to clients.

As an AI Services Consultant, you will provide expert guidance on Zendesk's AI solutions, ensuring clients achieve operational excellence and high customer satisfaction through effective project delivery and technical support.

As an AI Services Consultant, you will provide technical solutions, optimize AI implementations, manage projects, and ensure customer satisfaction for Zendesk AI products.

The AI Success Strategist will own the delivery of AI roadmaps for customers, ensuring alignment with their business goals and driving extensive adoption of AI solutions within Zendesk's framework, while delivering quantifiable commercial outcomes.

The AI Program Manager oversees the Agentic AI portfolio, ensuring initiatives progress from concept to production with effective governance and coordination across teams.