Top Artificial Intelligence Jobs in Lisbon

Lead the design and delivery of AI-native solutions, focusing on technical architecture for backend and frontend. Mentor engineers and drive engineering standards.

Participate in an 8-week training program followed by on-the-job training working on software development, architectures, DevOps, big data, security, AI/ML, and data science projects, supported by mentoring and potential full-time placement.

Lead technical strategy and build scalable AI/ML platform infrastructure on AWS and Kubernetes. Design IaC, CI/CD, observability, security, and cost/capacity practices. Mentor engineers, improve deployment reliability, and enable generative AI workloads, model routing, and operational metrics across multiple environments and regions.

Lead and grow a customer-facing engineering team delivering Feedzai solutions. Act as technical lead on client implementations, mentor engineers, hire talent, optimize processes, ensure delivery quality, coordinate with product and customer success, and drive operational excellence and incident response.

As a Senior AI Engineer, you will design and maintain AI capabilities, develop infrastructure, create evaluation frameworks, and collaborate across teams to integrate AI into products.

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

Serve as the bridge between clients and technical teams to deploy and optimize Feedzai's fraud detection platform. Gather requirements, translate compliance needs into specifications, define data mappings, design and configure solutions, lead UAT, deliver training, and drive continuous improvement to enhance alert efficiency and investigative workflows.

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.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

As an AI Engineer, you'll design and build AI systems for production applications, focusing on client solutions and maintaining system performance through evaluations and observability.

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.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Drive enterprise adoption of Talkdesk agentic AI: guide trials/POVs, define success metrics, quantify business value, lead technical demos, maintain AI content, advise on security/compliance, and collaborate with sales, product, and engineering to accelerate deployment and ACV growth.

Design, build, and deploy Agentic AI solutions for customer service across email, chat, and voice. Collaborate with engineers, data scientists, MLOps, and stakeholders to productionize LLM-based agents, improve developer workflows, and share ML engineering best practices.

The Senior Fullstack Engineer will design, implement, and deliver AI-powered frontend and backend features, ensuring high quality and performance while collaborating with cross-functional teams.

The VP of Business Development will drive commercial growth in Europe, focusing on strategic opportunities with renewable energy stakeholders and building relationships to enhance market presence.

The Senior Data Engineer will drive innovation using AWS and big data technologies, collaborate with teams, and ensure data integrity while architecting pipelines and enabling AI-powered data products.

The AI Specialist will identify AI opportunities, transform processes through tech-driven solutions, implement AI tools, and manage project execution from concept to deployment while advising on best practices.

Drive outbound prospecting across EMEA to generate high-value pipeline. Run a busy outbound lead pipeline, target cold accounts and expansions, use social tools, collaborate with Account Executives, meet targets and deliver outstanding customer experience in a hybrid Lisbon/remote model.

Own and evolve data and systems infrastructure (Supabase, n8n, HubSpot, external integrations), build and maintain automation pipelines and AI agent orchestration for content production, create simple UI integrations, evaluate and swap modular tools, and partner with leadership on architecture and roadmap.

As a Lead AI Engineer, you will design scalable AI systems, optimize natural language querying, and integrate data engineering with AI capabilities to enhance business insights.

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.

Drive social media growth and media strategy for Instagram and TikTok, analyze performance, and develop AI-driven solutions for content strategies, optimizing workflows with a focus on data.

Design, build, and deploy production LLM-driven systems for requirements and hardware engineering. Develop agentic flows, benchmark and evaluate models, build evaluation pipelines and tests, optimize cost and latency, and collaborate with cross-functional teams to ship and continuously improve AI features.

We are seeking an experienced AI Engineer with a focus on Generative AI to develop scalable solutions. Responsibilities include AI development, programming in Python, LLM integration, and API integration.