Top Artificial Intelligence Jobs in Lisbon

Lead product strategy and execution for agentic AI reconciliation and an enterprise API platform. Define roadmaps, commercialize products, ensure regulatory compliance and reliability, engage clients, and build a high-performing PM team across engineering, data science, compliance, and commercial stakeholders.

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.

Design and deliver AI-powered experiences for Datadog Notebooks. Build reliable backend services integrating LLMs and AI agents, manage model nondeterminism with evaluation/testing frameworks, partner with product/design, provide technical leadership, and operate production systems (on-call).

Own a core construction software product area from customer problem through measurable outcome. Responsibilities include customer discovery across construction sites and commercial teams, product strategy and roadmap ownership, prioritization, AI feature development and evaluation, human-in-the-loop design, stakeholder communication, and raising product-management capability. The role partners closely with engineering, design, consultancy, growth, and customer success teams while driving adoption and business impact.

Leads digital transformation across procurement by implementing and optimizing SAP, Coupa, ERP, e-sourcing, and supplier management technologies. Oversees data governance, integration, process improvement, category and spend analytics, supplier performance monitoring, and cross-functional project delivery. Evaluates emerging capabilities such as AI and RPA, manages stakeholder relationships, mentors team members, and drives procurement technology innovation and operational efficiency.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Lead AI and automation initiatives for Customer Experience: design, build and deploy LLM‑driven agents, intelligent workflows, and integrations across CX tooling to reduce manual work, improve SLAs, CSAT, and operational efficiency while supporting day-to-day CX delivery.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Manage an SMB customer portfolio as a trusted technical advisor; identify and close new business; support technical discovery, solution adoption, and cloud consumption; build long-term relationships and maintain accurate CRM and pipeline records.

Identify manual workflows and design AI-driven automations using LLMs, agents, and orchestration tools. Integrate models with internal systems and APIs, prototype and productionize solutions, monitor reliability and cost, document architectures, and establish guardrails and human-in-the-loop processes.

Lead account-based and integrated growth programs (ABM, events, content, partnerships, paid) to generate engagement and qualified pipeline for enterprise AI customers, coordinating closely with Sales and cross-functional teams and measuring account influence on opportunities.

The Principal Product Designer will drive product design strategy, mentor other designers, and lead complex design initiatives while ensuring high-quality, user-centered design practices.

12-month trainee role in Customer Analytics & Insight focused on designing prompts for generative AI, building Power Automate workflows, integrating AI into processes, creating Power BI reports, monitoring automation performance, ensuring compliance, and training business users.

Lead frontend development of AI-powered agent and admin interfaces: design and ship React/TypeScript UIs, integrate with backend and ML systems (streaming, latency, failure handling), drive frontend architecture and performance, mentor junior engineers, and own features end-to-end from design to production.

Lead end-to-end product design for complex enterprise products, rapidly prototyping near-functional AI-assisted workflows, collaborating with engineers, presenting to stakeholders, and delivering accessible, compliant designs in a hybrid Lisbon setup.

Join as the first Lisbon-based full stack generalist to build and scale an AI-powered patient recovery platform. Work across AI agent orchestration, prompt engineering, telephony/messaging integrations, dashboards, campaign management, and clinic system integrations to expand the product across markets.

Deploy and integrate ICEYEs intelligence platform into secure, often air-gapped environments. Build containerized applications, data pipelines, RAG systems, and AI agents (LangChain/LangGraph). Fuse SAR and multi-source intelligence, prototype mission-focused tools, train analysts, and iterate with customer feedback. Travel ~40-60% and obtain high-level national/NATO security clearances.

Lead prompt engineering initiatives, coach and support business users on AI tools, create best practices and training, evaluate AI platforms, mentor junior staff, and document technical learnings to integrate AI into workflows.

The Senior SW QA Engineer will collaboratively ensure high quality in optical networking solutions through automated testing, Agile ceremonies, and continuous improvement of QA practices.

Lead prompt engineering initiatives and provide technical enablement to business users: develop prompt best practices, coach and train stakeholders, integrate AI tools into workflows, evaluate AI platforms, mentor junior staff, and document technical learnings and case studies.

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.

Provide English-language customer support for an AI advertising platform: assist users, solve technical issues, create positive experiences, join a multicultural team, and grow with training and renewable contracts.

Design, build and deploy AI solutions (custom copilots, conversational agents, embedded AI) using Microsoft Copilot Studio and Azure AI Foundry. Integrate AI with Power Automate, Snowflake and enterprise systems, collaborate with stakeholders, operationalise models, monitor performance, and champion responsible AI practices.

Develop full-stack applications using .NET with React or Angular, design cloud-based architectures and APIs, integrate generative AI/LLMs and AI agents, build intelligent automation and workflow orchestration, apply DevOps/CI-CD practices, and deliver scalable, secure, high-performance solutions in an Agile team.