Top Artificial Intelligence Jobs in Portugal

Design and implement AWS-based data platform components, build multi-agent automated ETL/ELT pipelines, enable LLM-augmented capabilities (RAG, semantic search), collaborate with engineers, analysts and data scientists, ensure data quality, security, and production readiness.

Lead short-term AI adoption program: build internal AI champions, create usage policies and training, support teams implementing AI tools, contribute to internal AI tool builds, and ensure responsible, secure deployment across distributed teams.

Design and build production-grade agentic AI systems that analyze ServiceNow Discovery logs, metrics, failures, and infrastructure telemetry at enterprise scale. Develop agents for failure classification, root cause analysis, corrective-action recommendations, observability, and reusable runbook workflows. Integrate OpenAI and Anthropic APIs using RAG and vector databases, while applying guardrails and human approval. Build Python APIs, data pipelines, integrations, automated testing, and CI/CD solutions, leveraging infrastructure engineering and network troubleshooting expertise.

Design and build agentic AI systems that analyze ServiceNow Discovery logs, classify failures, identify root causes, recommend corrective actions, and monitor infrastructure health at enterprise scale. Integrate OpenAI and Anthropic APIs using RAG and vector databases, convert operational runbooks into reusable workflows, and develop production-grade Python services, APIs, data pipelines, integrations, testing, and CI/CD automation. The role also requires infrastructure troubleshooting, network protocol expertise, observability, and ServiceNow Discovery knowledge.

Lead and build the AI foundation for an AI-native vulnerability management platform. Own AI strategy, evaluation frameworks for non-deterministic agents, fine-tuning and model-routing experiments, prototype and ship agentic features, and lead a small hands-on AI team to productionize breakthroughs in generative AI for cybersecurity.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Support the Enterprise AI Programme Management Office by maintaining the AI initiative portfolio, coordinating updates across teams, triaging programme enquiries, supporting governance and decision logs, preparing leadership reports and dashboards, and identifying improvements to reporting and operational processes. Leverage AI-enabled tools to improve productivity and reporting.

Join the Compliance team to own AI and e-commerce legal workflows: GDPR and data protection documentation, AI systems inventory, risk assessments, product/feature reviews, contract and IP issue handling, TOS/privacy updates, and monitoring legal developments. Work with the Ethics & Compliance Officer and review uncensored AI content as needed.

Join EverAI as a Junior/Mid AI Legal Specialist, responsible for compliance with global laws in AI and e-commerce, legal documentation, and contract management while collaborating with the Ethics and Compliance Officer.

Design, automate, secure, and operate AWS and Azure cloud infrastructure supporting AI and generative AI platforms. Build Terraform-based infrastructure, manage networking, identity, containers, Kubernetes, monitoring, governance, and cost controls. Support production operations, incident response, troubleshooting, documentation, and compliance in partnership with AI, Data, Security, and Application teams.

Provide Arabic-language customer support via email, chat, and phone. Understand customer needs, resolve issues, and deliver excellent user experience for a major social-media product. Work nights, collaborate in a multicultural team, and develop product expertise.

Build and improve Restream’s web interfaces and user-facing features for the AI Clips team. Design UI and business logic, collaborate with product designers, participate in code reviews, improve system reliability, and evaluate emerging technologies. The role requires strong JavaScript and TypeScript expertise, advanced React knowledge, CSS preprocessor experience, and familiarity with backend development, cloud infrastructure, containers, and continuous deployment.

Join the AI & Innovation team to build and maintain full‑stack Python services, integrate ML/LLM models into production, develop scalable APIs and data pipelines, optimise AWS infrastructure, and write unit/integration tests to ensure reliability for high‑traffic jobseeking products.

Provide customer support through social media and email, represent brands, resolve customer requests, and ensure engaging experiences.

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.

Own and evaluate AI tools and platforms (LLMs, agents, RAG). Translate AI strategy into secure, scalable implementations, advise IT stakeholders, support integration, governance, and capability building across the organisation.

Design and maintain scalable data solutions and semantic models for AI applications. Integrate data platforms with AI tools (LLMs, RAG), apply causal inference and advanced analytics, improve data governance and quality, and provide technical leadership and mentorship across cross-functional teams.

Design and maintain scalable data solutions and semantic models for AI applications. Integrate data platforms, LLMs, and semantic layers; apply causal inference and advanced analytics; lead technical initiatives, mentor engineers, and promote data governance, RAG, and prompt engineering for AI-driven products.

Embed on-site with mid-market CEOs to lead Valis AI deployments: own executive relationships, run transformation cadences, drive fast fixed-scope wins, translate problems into build-ready specs, ensure finance-verified P&L outcomes, manage end-to-end rollout and adoption, and codify repeatable deployment methods.

Create high-volume, high-quality marketing content using generative AI and AI agents. Produce video, image, and social content, develop attention-driving campaigns, track AI and culture trends, and iterate quickly with the marketing and founding team.

Build features, prototypes, and demos using modern AI coding tools and agents; iterate prototypes into reliable, scalable production; direct and evaluate AI coding agents; collaborate closely with founders and senior engineers; explore and improve AI development workflows to accelerate product delivery.

Lead AI-native engineering: build and ship production-grade features, convert AI-assisted prototypes into reliable systems, own architecture/security/quality, direct AI coding agents, define engineering standards, and work closely with founders on product and technical strategy.

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

Provide EU-focused counsel on AI and privacy regulation (EU AI Act, GDPR, DSA); draft policies, DPA and contractual terms; translate legal requirements into technical and operational controls; advise product, engineering, and go-to-market teams; liaise with regulators and manage compliance programs and risk assessments.

Design and deliver cloud-native AI and LLM-based solutions from discovery through production. Lead presales, architecture, RAG and agentic implementations, deploy and operate ML/LLM systems, write production-grade Python, build ETL/ELT pipelines, implement MLOps/LLMOps/AgentOps, mentor engineers, and manage client technical relationships.