Top Artificial Intelligence Jobs in Portugal

Participate in a 14-day notification-sorting pilot using a qualifying Google Pixel device. Interact naturally with apps that generate notifications, complete daily sorting tasks and short feedback/check-in forms, and report technical issues. Must follow instructions, maintain device as primary phone during the project, and provide timely, high-quality feedback to improve mobile AI notification management.

Post-sales technical lead for strategic EMEA accounts, advising on cloud-native and AI deployments. Own technical relationships, troubleshoot escalations, design architectures for LLM/agentic workloads, drive product adoption, deliver training, and feed customer insights to Product and Engineering.

Design and implement scalable data platforms and multi-agent pipelines on cloud infrastructure. Enable self-service ingestion, ELT automation, data-as-a-product, and LLM-augmented features (RAG, semantic search). Partner with analysts and data scientists, ensure data protection, and drive platform roadmap and engineering best practices.

Design, develop, and maintain agentic AI solutions for email, chat, and voice. Translate business problems into technical solutions, collaborate with engineers, data scientists, MLOps and product owners, enable developer adoption of Agentic AI, and share ML engineering best practices.

Own global go-to-market strategy and positioning for SUSE's AI portfolio. Translate technical cloud-native, containerized, and edge inferencing capabilities into executive-level messaging, create high-value content, enable sales and partners, lead ecosystem marketing, and provide market and competitive intelligence to influence product and GTM decisions.

The AI-First Graphic Designer will create visual assets for digital platforms, maintain brand consistency, and collaborate on marketing campaigns. The role requires managing multiple design requests in a fast-paced environment.

The role involves designing AI-enabled sensing systems, developing software services, integrating AI/ML models, and collaborating with stakeholders for Smart Cities and IoT platforms.

The Product Manager will drive growth for an AI-powered writing assistant, focusing on product strategy, development, AI innovation, and performance optimization, while leading cross-functional teams.

The AI Architect will develop and implement enterprise AI strategies, architect solutions, lead AI initiatives, and foster cross-functional collaboration to enhance HBK's digital landscape, ensuring compliance with responsible AI standards.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Zyte seeks an AI Product Manager to define strategy, roadmap, and execution for AI-related initiatives, enhancing developer experience with AI agents and workflows.

Lead design and implementation of AI-driven marketing automations and workflows (Make.com/n8n), integrate LLMs for content automation, manage CRM and marketing data (HubSpot, Salesforce), produce and edit creative content, run experiments with emerging AI tools, train and mentor marketing teams on AI adoption, and build dashboards to track automation performance and ROI.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

Build and maintain real-time streaming data pipelines and feature stores to power low-latency model inference. Collaborate with ML and AI infra teams on data contracts, observability, and SLAs; drive batch-to-real-time migrations and evaluate emerging streaming/feature store technologies.

Lead and scale Mimica's product organisation, define global product strategy and roadmap for AI-driven task/process mining and automation, mentor product and design teams, improve product operations and discovery, align cross-functional stakeholders, handle escalations, and hire and forecast team needs.

Seeking an experienced Senior Backend Developer to build Ruby on Rails services for chatbots, research Slack & MS Teams ecosystems, and enhance existing systems.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

The role involves building production-ready AI systems, contributing to architectural decisions, and mentoring junior team members while working with international clients.

As Lead AI Consultant, you will direct AI transformation strategies, advise clients on AI implementation, and lead internal training on AI literacy while anticipating future organizational shifts due to AI advancements.

Design, implement, and maintain automated test frameworks and CI/CD pipelines for Java/Angular Hospitality PMS. Build UI and API automation (Playwright, TypeScript, REST Assured), maintain legacy Selenium/Protractor suites, mentor team members, run performance testing, document frameworks, triage defects in Jira, and collaborate with developers and stakeholders to improve test coverage and stability.

Lead technical efforts in AI integration for hospitality products, manage both C# and C++ systems, and mentor the engineering team.

As part of the Advanced Analytics and AI team, you will develop and deploy machine learning models, engage with business functions to create AI opportunities, and support AI capability roadmaps, all while working in a collaborative international environment.

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 AI-powered solutions (custom copilots, conversational agents, embedded AI) using Microsoft Copilot Studio, Power Automate and Azure AI Foundry. Integrate with Snowflake and enterprise systems, collaborate with stakeholders to define use cases, operationalise models, maintain reliability and governance, and evaluate emerging AI tools.

The AI Engineer will research Generative AI, develop AI agents, build solutions using Python, and support automation processes in the company.