Top Artificial Intelligence Jobs in Portugal

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

Build and ship production AI systems, including LLM agents, retrieval pipelines, event intelligence, tool integrations, and inference services. Contribute code, tests, observability, evaluation, and monitoring for high-volume real-time systems. Collaborate with platform, product, and applied-research teams while learning to optimize latency, throughput, cost, reliability, and model quality through mentorship and code reviews.

Design, build, and operate production AI systems including LLM agents, retrieval pipelines, event intelligence, and real-time inference services. Own architecture, orchestration, evaluation, guardrails, observability, reliability, and cost optimization at scale. Partner with platform, product, and research teams, and provide technical mentorship while developing resilient distributed systems for high-volume event streams.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

Leads Group IT’s Enterprise Applications & Integration area across Business Application Management and Platforms & Integration. Responsibilities include setting technology strategy and roadmaps, building an operating model, managing applications and integrations, establishing governance and engineering standards, partnering with senior business stakeholders, overseeing budgets and vendors, and developing domain leaders. The role also contributes to broader Group IT strategy, organisational development, and investment decisions.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

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.

Leads the enterprise process excellence strategy, roadmap, governance, methodology, tooling, and capability development. Identifies and prioritizes opportunities to simplify, standardize, automate, and improve critical processes. Oversees performance and KPIs, leads selected improvement programs, evaluates automation technologies, coaches teams, and drives continuous improvement across a complex international insurance organization.

The Internal Audit Manager assists audit teams in embedding intelligence capabilities, coaches auditors, coordinates pilots, maintains job aids, and monitors adoption of processes and tools.

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.

Owns commercial success, revenue, and strategic relationships for embedded HR technology partners. Responsibilities include managing a $10M+ annual bookings target, developing partner sales motions, enabling partner sellers, driving pipeline and ARR growth, resolving commercial issues, leading executive business reviews, expanding partnerships, coordinating cross-functional teams, and managing partner account managers and embedded sales leads.

Design and build data science solutions using visualization, machine learning, and statistical modeling. Develop algorithms and quantitative methods, integrate structured and unstructured data sources, pilot new tools and techniques, and collaborate across teams to deliver scalable, global solutions that inform business decisions and improve processes.

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.

Build Solidgate’s new ML/AI function, developing production machine learning models, recommendation systems, and real-time transaction-routing decision systems. Own experimentation from ideation through A/B testing and deployment, engineer features from high-cardinality transactional data, integrate emerging AI technologies, and collaborate with Product, Engineering, and Data Platform teams on training and analytics pipelines.

Own the vision and strategic roadmap for GoCardless payment-success products powered by AI and machine learning. Translate customer insights into data-driven solutions, partner with data platform teams to build foundational infrastructure, and enable sales and support teams to communicate product value. The role requires shaping technical direction, improving payment performance, solving complex customer challenges, and communicating strategy clearly to executives, stakeholders, and customers.

Develop and implement artificial intelligence solutions using machine learning, generative AI, and large language models. Translate business needs into scalable AI applications, work with data processing and APIs, evaluate and improve models, and operate within modern cloud environments and Agile teams. Strong English communication and continuous learning are expected.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Lead product ownership and project management for innovative banking tools and company culture initiatives. Define product vision, roadmaps, budgets, and requirements; coordinate business, engineering, design, and data science teams; oversee project plans, risks, resources, timelines, and quality; monitor product performance and user feedback; communicate progress to senior management; and apply knowledge of AI technologies to product development.

Develops scalable data science solutions using AI, machine learning, statistical models, and automation to address complex life sciences and business problems. Responsibilities include analyzing structured and unstructured data, managing enterprise data lifecycles, researching novel methods, creating visualizations, translating insights for stakeholders, and collaborating across business functions to support medical and organizational outcomes.

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.

Own the AI agenda across Customer Operations by identifying, implementing, monitoring, and optimizing AI features such as chat and email agents. Manage multiple concurrent projects, align stakeholders, translate operational pain points into automation opportunities, and improve processes across Customer Support and Payments, Fraud & Verification. Track post-launch performance, resolve issues, and drive continuous operational excellence through analytical, creative, and cross-functional problem-solving.

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.

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.

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.