什么是人工智能工程师？就业市场与薪酬指南（2025）

ByAdrienLaurent,CEOatIntuitionLabs•11/25/2025•30minread ExecutiveSummary TheAIengineerjobmarkethasemergedasoneofthefastest-growingandmostin-demandsegmentsofthetechworkforcebylate2025.MultipleindustryreportsconfirmthatrolesfocusedonbuildinganddeployingAI systemsaresurgingdespitebroadertechlayoffs.Forexample,aLinkedInanalysisranked“ArtificialIntelligenceEngineer”asthe#1fastest-growingjobcategoryinearly2025( relatedpostingsoverathree-monthspan([3]www.axios.com).Thisbuoyantdemandisdrivingveryhigh[4] However,theAIengineerroleisstillevolvingandvariablydefined.Analystsnoteitsharesoverlapwithrelatedroles(e.g.ML Engineer,DataScientist)andcanencompasstasksfromdatapreparationtomodel-buildingtolarge-scaledeployment.Ingeneral,AIengineersareexpectedtohavestrongsoftwareengineeringandDevOps Industryandgovernmenteffortsalsoreflecttheskillsgap.Numerousinitiativesaimtotrainandreskillworkers: forinstance,Ciscopledgedtotrain1,000,000AmericansinAIoverfouryears([8]www.itpro.comcommitted$1BtouniversityAIeducation([9]www.reuters.com).Still,surveyswarnofacuteshortagesinspecializedareas(likepromptengineering,AIethicsandsecurity)([10]www.itpro.comengineerroleisatthenexusofamajortalentshortageandahighlycompetitivejobmarket,featuringhigh IntroductionandBackground Definingthe“AI Engineer” Inrecentyearsthetitle“AI Engineer”hasenteredthemainstreamascompaniesrapidlyadoptAItechnologies.Broadlyspeaking,anAIengineerisaprofessionalwhodesigns,builds,andmaintainssystemsthatincorporateartificialintelligenceandmachinelearningmodelsintoworkingapplications.Inpractice,thisroleoverlapswith similartitleslikeMachineLearningEngineerandDataScientist,butwithastrongeremphasisonsoftwareand systemsintegration.TechTargetdefinesAIengineersasthosewho“buildandmaintainsystemsthat integrateAIandmachinelearningmodelsintoreal-worldapplications,”oftentakingpolishedmodels Unlikedatascientists(whofocusonextractinginsightsfromrawdata)ortraditionalsoftwareengineers(whomayworkonnon-MLsystems),AIengineersareprimarilyresponsibleformakingMLmodelsrunreliablyat scale.Accordingtoanindustryanalysis,atitscore“AIengineeringisaboutmakingMLmodelsworkintherealworld,”includingdeployingmodelstoproductionandensuringapplicationsremainreliable,scalable,andintegrated([12]www.techtarget.com).Inotherwords,AIengineersbridgethegapbetweenresearchand (Docker/Kubernetes),continuousintegration,andcloudplatforms( Becausethefieldissonew,thereisnotyetasingleauthoritativedefinition.Companiesmayuse“AIengineer”,“MLengineer”,oreven“datascientist”interchangeablydependingoncontext.However,expertsemphasizethat thetitle“AIengineer”iscurrently“trendy”,reflectinghighdemandandsalarypremiums([13]www.techtarget.com).Overtime,rolesareexpectedtobecomemorestandardized,butfornowanAIengineer HistoricalContextoftheAI EngineerRole TheconceptofAIengineeringbynameisrelativelyrecent.MuchofwhatAIengineersdo–deployingmodels,writingscalableMLsoftware,etc.–hasexistedunderotherlabels(forexample,“machinelearningengineer”or“MLOpsengineer”)foryears.WhathaschangedistheexplosivegrowthofAIcapabilities(especiallygenerative AI)andthecorrespondingsurgeindemandforpracticalexpertise.Inafewyears,rolesfocusedonAIhavegonefromnichetomainstream.AccordingtoLinkedIn,roughlyhalfofthetopfast-growingrolesin2025didnotexist25yearsago([1]www.axios.com).Inparticular,CIOsandCTOsreportthatnearly90%oftheircompanieshave Thegrowthacceleratedinthelate2020saslargelanguagemodelsandothergenerativeAItoolsbecamecommercialized.By2025,evennon-techindustries(likehealthcare,finance,andmanufacturing)wereseekingAItalent.Arecentindustrysurveyfound500,000openAI-relatedpositionsworldwidein2025([15]www.techradar.com),indicatingaglobaltalentshortage.Analystspredictthatmostsoftwaredevelopersʼworkwill DataSourcesandMethodology Thisreportsynthesizesinformationfromrecentindustryreports,newsarticles,andlabor-marketstudiesuptolate2025.Primarysourcesincludetechnologynewsoutlets(e.g.Axios,TechTarget,ITPro,Reuters,TechRadar),largesurveydata(LinkedIn“JobsontheRise”,StackOverflowsalarysurveys,etc.),andmarketresearchbyorganizationslikeGartnerandtheAIWorkforceConsortium.Whereverquantitativedataiscited,theoriginal WhatIsanAI EngineerandHowDoesItCompare CoreResponsibilitiesofanAI Engineer AnAIengineercanbethoughtofasahybridbetweenasoftwareengineerandadatascientist.ThecoreresponsibilityistomakeAIcapabilitiesusablebybusinesses–essentiallyoperationalizingmachinelearning ModelDeployment:PackagingtrainedMLmodelsforproduction.Forinstance,convertingatrainedneuralnetworkintoacontainerizedserviceorAPI.Bydefinition,“AIengineeringisaboutmakingMLmodelsworkintherealworld”–trainingmaybedonebyothers,buttheAIengineertakesmodelsandincludestheminapplications([12]www.techtarget.com). ApplicationDevelopment:WritingcodetointegrateAImodels.AIengineersoftenbuildsoftware(inlanguageslikePython,Java,orC++)toapplymodelstouserdatastreams,userinterfaces,orbusinessprocesses.Example:AnAIengineermight SystemsIntegration:EnsuringtheAIcomponentsworksmoothlywithexistingITinfrastructure.Thiscanin