Top Artificial Intelligence Jobs in Portugal

Build and deploy production machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop efficient models and pipelines, improve search relevance and personalization, monitor production performance, debug issues, and ship measurable quality improvements while balancing accuracy, latency, cost, privacy, and reliability.

Build and deploy production machine learning systems for AI-native applications. Responsibilities include classification, retrieval, ranking, personalization, model evaluation, embedding-based search, fine-tuning, and training, inference, and deployment pipelines. The role emphasizes improving accuracy, relevance, latency, cost, and reliability; monitoring production performance; debugging issues; and using real-world feedback to drive measurable model improvements.

Develop and maintain scalable full-stack web applications using React and Node.js. Build RESTful APIs, integrate databases and AI-powered features, participate in testing and code reviews, and collaborate with cross-functional teams. The role requires strong JavaScript or TypeScript skills, practical AI experience, and familiarity with modern development tools and cloud technologies.

Leads end-to-end AI transformation deployments for mid-market clients across EMEA. Owns executive relationships, rollout cadence, adoption, measurable business outcomes, and client sign-off. Builds AI agents, automations, and data workflows hands-on against real client data, directing engineers when deeper platform work is needed. Manages multiple concurrent engagements, travels regularly onsite, and codifies deployment methods for repeatability.

Own end-to-end discovery and delivery for an AI assistant serving Brazilian e-commerce sellers. Conduct Jobs to Be Done research, launch agent-based services across commerce workflows, build prototypes with AI tools and UI components, analyze product performance, and improve retention and daily active usage. The role requires regular travel to Brazil for customer meetings and industry events and is based in or relocates to Lisbon.

Designs 3D models, prototypes, and visual assets for airport touchpoints, kiosks, and boarding systems. Uses SolidWorks, AutoCAD, Vizcom, and AI-assisted design tools to develop feasible product concepts. Collaborates with UX, product, engineering, and AI teams; presents concepts through visual storytelling; prototypes and validates designs; documents workflows; and participates in stakeholder workshops. The role requires occasional travel to airports or R&D sites and focuses on integrating AI into physical product and experience design.

Drive enterprise sales growth for IQVIA’s AI-powered pharmacovigilance and drug safety technology across EMEA. Responsibilities include prospecting, developing strategic accounts, managing the full sales cycle, exceeding quotas, engaging senior safety stakeholders, and collaborating with product, consulting, hosting, and managed services teams. The role requires experience selling complex SaaS, technology, consulting, and managed services solutions to pharmaceutical, biotech, medical device, and clinical research organizations, with strong knowledge of drug safety and pharmacovigilance.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Evaluate and approve AI-enabled and enterprise applications, architectures, and security documentation. Provide cybersecurity consulting for AI initiatives, maintain application and AI security standards and guardrails, support audits and assessments, document findings, and help stakeholders remediate risks. The role requires collaboration with technical and business teams across international functions and communication of security requirements to varied audiences.

Design and deliver cloud-based AI/ML systems with a focus on database architecture, scalable data pipelines, model training and production, generative and deep learning model customization, HPC algorithm R&D, data preprocessing, storage/retrieval design, and cross-functional infrastructure alignment including edge and HPC resources.

Lead and scale an AI-driven creative design team producing static performance ads, photorealistic AI visuals, and video source assets. Own creative direction, production workflows, capacity planning, quality control, testing, and performance-driven iteration. Mentor designers, evaluate emerging AI tools, develop prompt and style libraries, and partner with engineering on creative automation. Collaborate with marketers, media buyers, producers, copywriters, and video editors to deliver high-quality, conversion-focused campaigns.

Build and lead n8n’s internal AI and automation enablement function. Run recurring workshops, office hours, build-alongs, bounty hunts, hackathons, and dogfooding initiatives for technical and non-technical teams. Develop reusable templates, measure AI fluency and adoption, support cross-functional champions, and act as product owner for a safe internal automation playground. Partner with IT, Security, Data, and Solutions Engineering to define access, credential, and environment requirements.

Create short films and videos using AI photo and video generation tools. Edit AI-generated content, develop concepts with marketing teams, maintain brand alignment, experiment with creative formats, and deliver engaging content for Tether and affiliated brands. The role requires video production and editing expertise, strong storytelling and visual composition skills, familiarity with digital marketing and social media, and the ability to manage multiple projects independently under tight deadlines.

Supports Nokia’s Digital Office transformation initiatives by mapping processes, identifying AI and automation opportunities, co-creating requirements and prototypes, building workflows with Microsoft and ServiceNow tools, and developing dashboards and reports. The trainee also supports responsible AI adoption, governance, communications, training, change management, and impact measurement while collaborating with global teams.

Evaluate AI-generated customer service and technical responses for clarity, usefulness, natural language, technical accuracy, JSON validity, formatting, and guideline adherence. Provide clear feedback explaining evaluation decisions. The role requires multilingual fluency, coding knowledge, strong written communication, attention to detail, and consistent judgment. Experience with AI evaluation, quality assurance, APIs, structured data, customer service, software development, or technical writing is preferred.

Design, build, and operate production AI workflows, agents, prompts, retrieval pipelines, and decision systems across internal HR, Finance, Operations, and CRM platforms. Own orchestration, reliability, monitoring, evaluation, model behavior, feedback loops, and decision quality. Partner with Data Engineering on infrastructure, CI/CD, data pipelines, security, governance, and shared AI standards. Translate real-world usage data into measurable improvements in accuracy, resolution rate, and time saved.

Build and deploy production-ready AI pipelines integrating LLMs and foundation models. Develop scalable GenAI services, transition prototypes into production, implement LLMOps and monitoring, optimize RAG pipelines and vector database retrieval, and explore prompt engineering, fine-tuning, and agentic workflows. Collaborate with data engineers and business stakeholders to deliver AI solutions and communicate technical concepts to nontechnical teams.

Lead Chainguard’s European government affairs and public policy strategy across the UK and Europe. Engage regulators, governments, standards bodies, and industry coalitions; develop policy positions and consultation responses; translate cybersecurity regulations into product, positioning, and customer implications; and establish a scalable policy function. The role requires senior stakeholder engagement, technical policy communication, frequent regional travel, and eventual team-building responsibility.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Deploys and integrates AI solutions using frontier LLMs and autonomous frameworks. Bridges AI research, software engineering, and product implementation; adapts models, designs scalable workflows, and ensures performance, reliability, and business alignment. The role requires collaboration with developers and team leads, with regular travel and extended stays across Samlino Group’s three markets.

Design, implement, and optimize high-performance attention and foundational AI kernels for GPUs, NPUs, ASICs, and other accelerators. Build reusable attention-framework abstractions, profile workloads, develop benchmarks and correctness tests, analyze hardware and compiler behavior, and improve production inference performance. Collaborate with hardware and software teams, document designs, resolve ambiguous performance issues, and mentor engineers while supporting new accelerator architectures and AI workloads.

Build Superhuman’s AI agent platform, including orchestration, routing, planning, and multi-agent workflows. Develop and deploy machine learning systems for search ranking, proactive suggestions, and other AI-native product experiences. Integrate modern LLMs, contribute strong product judgment, and move rapidly from experimentation to production while working autonomously with cross-functional teams.

Lead the organisation’s AI strategy and data function, driving AI adoption, workflow redesign, self-service analytics, semantic data modelling, and trusted data access. The role manages Data Analysts, oversees the business-facing data warehouse layer, establishes analytics engineering standards, and delivers measurable insights and business value. It requires strong experience implementing AI solutions, cloud data platforms, SQL, dbt, financial services data, and stakeholder leadership in regulated environments.

Serve as the founding customer-facing engineer for Kimchi, leading product demonstrations, customer workspace setup, inference API integrations, model routing optimization, and governance policy implementation. Configure agent workflows, integrations, budgets, cost attribution, and access controls. Translate customer feedback into product improvements while identifying opportunities for revenue expansion. The role combines hands-on LLM and inference expertise with customer enablement and commercial thinking in a remote-first environment.