AI Engineer (AWS, Gen AI)

About this role

Why Keyrus , Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence. AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus , you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence. Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. Role Details 📍 Job location: PortugalorSpain(Remotemodel) 🕒 Contract type: Employee/Fixed-term/ContractorB2B 🗓 Target start date: ASAP ⏰ Working hours: Full-time 💵 Compensation: €45,000-€70,000grossperyear 📋 What You'll Architect Asan AI Engineer in an AWSenvironment,youwillhelporganisationstransformcomplexityintomeasurableoutcomesbycombiningtechnology,data,intelligence,andhumandecision-making. This role is both technical and consultative, perfect for someone who can combine hands-on development, cloud engineering, solution design, and client delivery. We're lookingforprofessionalswhocanmoveAIinitiativesfromexperimentationtoenterprise-scaleproductionenvironments. KeyResponsibilities Design anddevelopGenerativeAIsolutionsusingAmazonBedrock,includingFoundationModels,KnowledgeBases,RAGpatterns,andagent-basedarchitectures Build, deploy, and maintain production-ready AIapplicationsandserviceswithinAWScloudenvironments DevelopserverlesssolutionsusingAWSLambdaandorchestrateworkflowsthroughAWSStepFunctions ContaineriseanddeployworkloadsusingAmazonECSandAWSFargate IntegrateAIsolutionswithenterprisesystemsanddataplatforms,includingAmazonRDSandSnowflake Designscalable,secure,andmaintainablearchitecturesforenterpriseAIapplications ImplementinfrastructureusingTerraformandInfrastructureasCodebestpractices Apply AWSIAMsecurityprinciples,roles,permissions,andgovernancestandards DevelopRESTAPIsandbackendservicestosupportAI-poweredapplications Support theindustrialisationofGenAIusecases,transitioningsolutionsfromPoCtoproduction CollaboratecloselywithDataEngineers,CloudEngineers,Architects,AISpecialists,andclientstakeholders Contribute to technicalstandards,architecturaldecisions,andAWS/AIbestpracticesacrossprojects. 👤 Who You Are Youarecurious,analytical,andmotivatedbysolvingmeaningfulbusinesschallenges Youenjoyturningcomplexityintoclarityandaction Youbalancetechnicalthinkingwithbusinessunderstanding Youarecomfortableworkingincollaborativeandinternationalenvironments Youtakeownershipofyourworkandfollowthroughoncommitments Youvaluecontinuouslearningandaremotivatedbylong-termprofessionalgrowth Youcommunicateclearlyandeffectivelywithavarietyofstakeholders You enjoy buildingpracticalsolutionsandbringingAIusecasesintoreal-worldproductionenvironments. 🛠️ What You Bring Qualifications & Experience Relevant academicbackgroundinComputerScience,SoftwareEngineering,ArtificialIntelligence,DataEngineering,orequivalentprofessionalexperience ExperienceasanAIEngineer,MachineLearningEngineer,CloudEngineer,DataEngineer,orsimilarrole Stronghands-onexperienceworkingwithAWSinproductionenvironments Experiencedesigning,developing,anddeployingGenerativeAIorLLM-basedapplications Experiencebuildingscalablecloud-nativeapplicationsandservices Stro

Skills and categories