Data & AI Platform Team Leader

e are looking for a Data & AI Infrastructure Team Leader to lead a team of Data Engineers and Software Engineers developing innovative clinical applications that power next-generation AI healthcare solutions. The team provides data management solutions AI development infrastructure software integration frameworks evaluation and verification capabilities and scalable deployment mechanisms.

This role requires end-to-end ownership and a broad systems perspective from understanding customer needs and product requirements to enabling successful product delivery.

If youre looking for a meaningful opportunity to make a real impact on healthcare and help improve patients lives wed love to hear from you.

KeyResponsibilities

• LeadmentorandgrowateamofDataEngineersandSoftwareEngineers.
• Defineteamprioritiesroadmapandexecutionplansalignedwithbusinessandproductobjectives.
• Fosterengineeringexcellenceaccountabilitycollaborationandcontinuousimprovement.
• Driveeffectivecross-functionalcollaborationwithAlgorithmClinicalProductVerificationRegulatoryandSystemsEngineering teams.
• Establishtechnicalstandardsbestpracticesanddevelopmentprocesses.

• Leadthedesigndevelopmentandmaintenanceofenterprise-gradedatainfrastructuresupportingAIdevelopment.
• Owndatabasearchitecturedatarepositoriesandscalabledatamanagementsolutions.
• Drivesolutionsforclinicaldatacollectionanonymizationcurationannotationversioningtraceabilityandlifecyclemanagement.
• DevelopandmaintainintegrationswithinternalGEHealthCaresystemsanddatasources.
• Ensuresecurecompliantandefficientdataaccessmechanismsforglobaldevelopmentteams.
• Supportregulatorysubmissionsthroughreproducibleandauditabledatapreparationprocesses.
• Establishdatagovernancestandardsqualitycontrolsandoperationalexcellencepractices.

• LeaddevelopmentofsoftwareframeworksenablingintegrationofAItechnologiesintomultipleproductplatformsandoperating environments.
• DrivecreationofreusableSDKspluginsAPIsandservicesthataccelerateAIdeploymentacrossproducts.
• SupportintegrationofAIsolutionsintoLinuxandWindows-basedmedicaldeviceplatforms.
• DefineandmaintainAIintegrationarchitecturedeploymentmechanismsandcompatibilitylayers.
• Enablerapidprototypingandevaluationenvironmentsforalgorithmdevelopmentteams.
• Drivedevelopmentoftoolssupportingalgorithmexecutiondebuggingperformanceevaluationreproducibilityandportability acrosshostsystems.

• Establishautomatedtestingframeworkscoveringunitintegrationregressionperformanceandsystem-leveltesting.
• LeaddevelopmentofCI/CDpipelinesandreleaseinfrastructuresupportingtheAIsoftwarelifecycle.
• Ensuretraceabilityreproducibilitymaintainabilityandqualitythroughoutthedevelopmentprocess.
• Developinfrastructuresupportingalgorithmverificationsystemvalidationandintegrationtestingactivities.
• Driveengineeringbestpracticesforsoftwarequalityreliabilityscalabilityandmaintainability.

• Ensurealldevelopmentactivitiescomplywithmedicaldevicequalitysystemsandregulatoryrequirements.
• SupportprocessesalignedwithFDAregulationsdesigncontrolssoftwarelifecyclerequirementsverificationvalidationand traceability.
• EstablishinfrastructureandworkflowsthatenablecompliantandefficientAIfeaturereleases.
• PartnerwithRegulatoryQualityandProductteamstosupportauditssubmissionsandlifecyclemanagementactivities.

RequiredQualifications

• .
• 5yearsofexperienceinsoftwareengineeringdataengineeringplatformengineeringorrelateddisciplines.
• 2yearsofexperienceleadingtechnicalteams.
• Strongexperiencedesigningandoperatingdatamanagementplatformsandworkflows.
• Strongsoftwarearchitectureandsystemintegrationbackground.
• ExperiencebuildingandmaintainingAPIsSDKsservicesanddistributedsystems.
• StrongprogrammingskillsinPythonandmodernsoftwaredevelopmentpractices.
• DeepknowledgeofSQLdatabasesandlarge-scaledataprocessing.
• ExperiencewithautomatedtestingframeworksandCI/CDpipelines.
• Excellentleadershipcommunicationandstakeholdermanagementskills.

PreferredQualifications

• Experienceinmedicaldeviceshealthcaresoftwareorotherregulatedindustries.
• ExperiencesupportingAI/MLdevelopmentworkflowsandMLOpspractices.
• ExperienceintegratingAImodelsintoproductionproducts.
• KnowledgeofhealthcareandmedicalimagingstandardssuchasDICOMandFHIR.
• ExperiencewithLinuxandWindowsdevelopmentenvironments.
• ExperiencewithcloudplatformsandmodernDevOpstechnologies.
• FamiliaritywithFDAdesigncontrolssoftwarelifecycleprocessesandregulatoryrequirementsformedicaldevices.

WhyJoinUs

This role provides a unique opportunity to lead a highly impactful engineering team that enables the successful development integration validation and deployment of AI .

Relocation Assistance Provided: No