Top Artificial Intelligence Jobs in Portugal

Lead storytelling and communications for Pfizer's AI-native engineering transformation: set strategy, create content and live events, manage budgets and agency relationships, build cross‑functional engagement, track success metrics, and lead a storytelling team to translate engineering work for executives and broader audiences.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Lead and grow a globally distributed legal outsourcing team, redesign NDA drafting/review workflows using AI, expand service offerings beyond NDAs, own service delivery metrics and turnaround times, and partner with firm leadership to scale the function profitably.

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 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.

Lead data governance, quality and innovation initiatives within Credit Risk. Develop and industrialize AI/ML (NLP) solutions, improve risk frameworks, automate processes, and coordinate monitoring committees across international teams.

The role involves leading AI initiatives as a Senior Scrum Master, focusing on process innovation, facilitating Scrum ceremonies, and acting as a liaison between technical teams and stakeholders.

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.

Lead AI transformation consulting services, engage with clients, mentor teams, and ensure responsible AI practices while driving business development.

The Director of Regulatory Affairs leads technology strategies and digital transformations for regulatory teams, ensuring delivery of a robust technology portfolio while managing governance and stakeholder relationships.

Lead a new AI Ops Agents team to design, ship, and scale production-grade automations and multi-agent systems. Own delivery and development of three engineers, build RAG pipelines, maintain AI tooling (Claude/Anthropic ecosystem), prioritize cross-team requests, rapid prototype integrations with enterprise platforms, and upskill engineering teams in practical AI usage.

Build and operate a composable, event-driven internal platform: design and ship backend services (Python/Go), frontend admin tools (TypeScript/React), integrations with SaaS and cloud APIs, BPMN/workflow orchestration, and LLM/AI tooling across the development lifecycle while owning production reliability, security, and observability.

Build and operate internal, event-driven platform services end-to-end: backend services (Python/Go) on GCP Cloud Run, TypeScript/React UIs, integrations with third-party SaaS (REST, webhooks, OAuth), BPMN workflow orchestration, and apply AI tooling across the development lifecycle while ensuring security, observability, and production reliability.

Build and operate internal, event-driven platform services and UIs across the stack. Integrate third-party SaaS via APIs/webhooks/OAuth, implement observable BPMN workflow orchestration, use AI tooling throughout the SDLC, review AI-generated code, and ensure production reliability, security, and cost control.

Build and operate internal, event-driven platform services and UI features end-to-end. Integrate third-party SaaS and cloud APIs, implement observable BPMN workflow orchestration, use AI tooling across the SDLC, ensure security and reliability in production, and contribute engineering standards and playbooks.

Build and productionize AI-native systems for a fintech neobank: AI agents, LLM apps, RAG/retrieval, tool-calling, automations and AI-assisted experiences for onboarding, KYC, support, risk, CRM and operations while addressing accuracy, latency, cost, security and compliance.

Build scalable backend services, APIs and workflows for an AI neobank app supporting insurance, payments, wallets, savings, investing and partner integrations. Design reliable user account, transaction, reconciliation and notification systems, improve observability, security and performance, and collaborate with product, mobile and operations teams to deliver auditable, production-ready financial services.

Build and productionize AI-native workflows, assistants, agents and automations for a neobank app. Integrate LLMs with product data, APIs and knowledge bases, design evaluation and fallback flows, prototype and ship reliable systems across customer support, CRM, onboarding, claims, payments and operations.

Build end-to-end customer-facing and internal features for an AI neobank app. Develop web flows, backend APIs, admin tools, dashboards, and operational systems. Integrate APIs, handle data flows, improve production reliability, and iterate using analytics and feedback. Collaborate with product, design, mobile and operations teams to launch and maintain fintech/insurtech features quickly.

The AI Creative - Copywriter role involves crafting engaging copy for various formats in the crypto and Web3 space, utilizing AI tools to enhance output while maintaining high editorial standards. Responsibilities include researching trends, collaborating with teams, and adapting language for diverse audiences.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Design and implement machine learning pipelines, working closely with data scientists to create scalable models and production-grade code.

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.