AI Systems Engineer

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PositionOverview TheAI&SystemsEngineerisahybridinfrastructureandAIoperationsroleresponsibleformanaging thefullenterpriseITstackwhilealsoarchitecting,deploying,securing,andgoverningAIsystemsacross theorganization.ThisroleservesastheprimarytechnicalownerforAIplatformintegrations-including largelanguagemodels,MCPservers,andconnectorecosystems-alongsidetraditionalsystemsadministrationresponsibilitiescoveringWindowsServer,cloudplatforms,networkinfrastructure,andenterprise security.Theidealcandidatebridgesdeepinfrastructureexpertisewithhands-onAIengineering,ensuringAIsystemsaredeployedwith rigor, properlyhardened,andtightlyintegratedwithexistingenterpriseidentityandsecuritycontrols. Position Requirements: Infrastructure & Systems Administration Experienceacrossthecompleteinfrastructurestack:network, security,storage,hardware,andOSlayer ExpertisewithWindowsServeradministration,configuration,upgrades,andlifecycle management DeepexpertiseinPowerShellscriptingforautomation,provisioning,reporting,andsystemsmanagement ExpertiseinDNSandDHCPadministration,includingWindowsServerDNSroles,zone management,conditionalforwarding,split-brainDNS,andDNSSEC ExperiencewithenterprisebackuptoolsincludingNetApp;buildingDRenvironmentsand failoverplans Proficiencywithvirtualizationplatforms:VMwareand/orHyper-V Experiencemanagingandmaintainingsecuritypatchesacrossserverandapplicationestates Experiencemigratingdataacrosscloud,hybrid,andon-premisesenvironments Abilitytoplan,organize,anddocumentcomplexsystemmaintenanceactivities;configure systemsconsistentwithinstitutionalpoliciesandprocedures Comfortablewithon-callschedulesandresponsetocriticalalertsinatimelymanner Cloud & Productivity Platforms ExperiencewithGoogle Workspace administration(userlifecycle,OUmanagement,GAMscripting) ExperiencewithGoogleCloudPlatform(GCP)infrastructureandservices ExperiencewithMicrosoft Office 365administrationincludinglicensing,ExchangeOnline,andcompliance ExperiencewithMicrosoftAzureincludingEntraID(formerlyAzureAD),ConditionalAccess,PIM,andAzureresourcemanagement FamiliaritywithsettingupandconfiguringapplicationswithAzureSSOorGoogleSSO(SAML,OIDC,OAuth2.0) AI Systems Engineering & Operations Hands-onexperiencedeploying,configuring,andadministeringlargelanguagemodel(LLM) platformsincludingAnthropicClaude(claude.ai,ClaudeAPI,ClaudeCode)andGoogleGemini acrossenterpriseenvironments ExperiencearchitectingandadministeringMCP(ModelContextProtocol)serverinfrastructure: deployingMCPserverinstances,configuringtoolregistries,managingconnectorecosystems (Airtable,Atlassian,GoogleDrive,Gmail,andothers),andintegratingMCPserverswith enterpriseidentityandaccesscontrols AbilitytodesignandenforceAIconnectorgovernancepolicies:scopemanagement,permission auditing,credentiallifecycle,andconnectoraccessreviews ExperienceperformingAIplatformsecurityassessmentscoveringpermissionscopes,data flows,outputvalidationpipelines,promptinjectiondefenses,andHITL(Human-in-the-Loop) controls FamiliaritywithAIhardeningprinciples:modelaccesscontrols,ratelimiting,WAFintegration,APIgatewayconfiguration,sessioncontrols,andkillswitchhierarchiesforAIsystems ExperienceconfiguringandmonitoringSIEMdetectionrulesforAIplatformactivityandanomaly detection UnderstandingofresponsibleAIdeployment including data residency requirements, privacy-by-design, audit logging, and regulatory alignment (HIPAA,GDPR as applicable) Abilitytoevaluate new AI tools and platforms against enterprise security standards prior to production deployment Experienceauthoring AI systems documentation:architecture diagrams,runbooks,security assessments,and governance policies Security & Compliance Knowledgeofapplicabledataprivacypractices,laws,andregulations(HIPAA,SOC2,GDPRfundamentals) Experiencewithidentityandaccessmanagement(IAM)tooling:EntraID,Active Directory,SAML/OIDCfederation,MFAenforcement,andprivilegedaccessmanagement Familiaritywithnetworksecurityconceptsincludingfirewallpolicy,VPNadministration,WAFconfiguration,andzero-trustnetworkaccessmodels ExperiencewithendpointmanagementusingMicrosoftIntuneorcomparableMDMsolutions Certifications & Nice-to-Have CertificationsinVMware,Hyper-V, MCSE,MCSA,orAWS/AzureSolutionsArchitectaredesirable CertificationsorcourseworkinAI/MLplatforms,promptengineering,orresponsibleAIareaplus Experiencewithinfrastructure-as-codetooling(Terraform,Bicep,orcomparable)is advantageous FamiliaritywithSIEMplatforms(MicrosoftSentinel,Splunk,orsimilar)forsecuritymonitoring ExperiencewithacquisitionITintegration:userprovisioning,mailboxmigrations,SSOfederation, anddirectoryconsolidation Roles & Responsibilities Infrastructure Operations Providetechnicalsupporttocorporatebusinessunitsandsupporttheirapplicationsacrossthe enterprise Maintaintheback-endITinfrastructureestateincludingservers,storage,UPS,andHyper-V environments PerformWindowsServerupgrades,rebuilds,andOSlifecyclemanagement Manageandmaintainsecuritypatchesacrossserverinfrastructureonadefinedcadence Migratedataacrosscloud,hybrid,andon-premisesenvironmentswithdocumentedrollback plans AdministerandmaintainWindowsServerDNSincludingzonehealth,recordlifecycle, replication,andconditionalforwardingconfigurations BuildandmaintainDRenvironments,runbooks,andfailover/failbackplans;participateinDR testingexercises WorkwithorwithoutformalSOPs;authorandmaintainrunbooksandtechnicaldocumentationasenvironmentsevolve Proactivelylearnanddocumentthe environmentsofcurrentandfutureacquiredcompanies to enable smooth integration Servesas a thought leader and architect new IDF/MDF configurations;identify opportunities to scale back or synergize infrastructure across the portfolio Be comfortable with on-call schedules and respond to critical alerts in a timely and effective manner AI Systems Engineering & Governance Ownthedeployment,configuration,andongoingadministrationofenterpriseAIplatforms includingAnthropicClaude(claude.ai,ClaudeAPI,ClaudeCode)andGoogleGemini;manage platformaccounts,accesspolicies,andusagegovernance ArchitectandmanagetheenterpriseMCPserverinfrastructure:deployandmaintainMCPserver instances,configuretoolandconnectorregistries,manageconnectorlifecycle(onboarding, auditing,deprecation),andenforcedataflowandpermissionpoliciesacrossconnectors IntegrateAIplatformsandMCPserverswithenterpriseIAMcontrols(EntraID/AzureADSSO,ConditionalAccess, MFA) toensureAIsystemaccessisgovernedthroughstandardidentitypipelines ConductperiodicAIconnectorandplatformsecurityassessmentscoveringpermissionscopes, credentialexposure,data residency,outputvalidation,andpromptinjectionrisk;documentfindingsanddriveremediation ImplementandmaintainAIhardeningcontrols:APIgatewayratelimiting, WAFrulesforAIendpoints,sessionmanagement,killswitchprocedures,andanomalymonitoringviaSIEM PartnerwithbusinessunitstoevaluatenewAItoolsandvendorplatforms;perform pre-deploymentsecurity reviews and producearchitecturedocumentationbeforeproduction rollout MaintaincomprehensivedocumentationforallAI systems:architecture diagrams,security assessmentreports,connector governance policies,and operational runbooks StaycurrentwithdevelopmentsinenterpriseAIplatforms,MCPecosystemtooling,andAIsecuritybestpractices;translateemergingcapabilitiesintoactionableinfrastructure improvements Collaboratewithlegal,compliance,andsecurityteams toensureAIplatformusagealignswith HIPAA, data privacy obligations, and organizationalpolicy Collaboration & Stakeholder Engagement Establishstrongworkingrelationshipswithcorporatebusinessunits,theOperationsteam,ITleadership,anddirectmanager Workcross-functionallytocoordinatelarge-scaleinfrastructureefforts,migrations,andAIplatformrollouts RepresentITinfrastructureandAIoperationsasasubject-matterexpertincross-teamplanning andarchitecturediscussions Communicateprojectstatus,risks,anddecisionsclearlytobothtechnicalandnon-technical stakeholders Salary range: $120,000 - $145,000 Bonus Eligible: This position is also eligible for a discretionary company bonus, based upon business results. Benefits: Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment: Health Insurance (medical, dental, and vision coverage) Paid Time Off (including vacation, sick leave, and flexible holiday days) 401(k) Retirement Plan with employer matching Life and Disability Insurance Employee Assistance Program (EAP) Commuter and/or Transit Benefits (if applicable) Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment. #J-18808-Ljbffr WebMD