AI Systems Engineer

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TheAI&Systems

EngineerisahybridinfrastructureandAIoperationsroleresponsibleformanaging thefullenterpriseITstackwhilealsoarchitecting,deploying,securing,andgoverningAIsystemsacross the organization.

ThisroleservesastheprimarytechnicalownerforAIplatformintegrations-including largelanguagemodels,MCPservers,andconnectorecosystems-alongsidetraditionalsystemsadministrationresponsibilitiescovering

Windows

Server,cloud platforms,network infrastructure,and enterprise security.

Theidealcandidatebridgesdeepinfrastructureexpertisewithhands-onAIengineering,ensuringAIsystemsaredeployedwith rigor, properly hardened,andtightlyintegratedwithexistingenterpriseidentityandsecuritycontrols.

• Experienceacrossthecompleteinfrastructurestack:network, security,storage,hardware,andOSlayer
• Expertise with Windows Server administration ,configuration,upgrades,andlifecycle management
• Deepexpertisein Power Shellscriptingforautomation ,provisioning,reporting,andsystemsmanagement
• ExpertiseinDNSandDHCPadministration,including
  
  Windows
  
  ServerDNSroles,zone management,conditional forwarding,split-brainDNS,andDNSSEC
• Experiencewithenterprisebackuptoolsincluding Net App ;buildingDRenvironmentsand failoverplans
• Proficiencywithvirtualizationplatforms:
  
  VMwareand/or Hyper-V
• Experiencemanagingandmaintainingsecuritypatchesacrossserverandapplicationestates
• Experiencemigratingdataacrosscloud,hybrid,andon-premises environments
• Abilitytoplan,organize,anddocumentcomplexsystemmaintenanceactivities;configure systemsconsistentwithinstitutionalpoliciesandprocedures
• Comfortablewithon-callschedulesandresponsetocriticalalertsinatimelymanner

• Experience with Google Workspace administration(userlifecycle,OUmanagement,GAMscripting)
• Experience with Google Cloud Platform (GCP) infrastructureandservices
• Experience with Microsoft Office 365administrationincludinglicensing,Exchange Online,and compliance
• Experience with Microsoft Azure including Entra ID(formerlyAzureAD),Conditional Access,PIM,and Azureresourcemanagement
• Familiaritywithsettingupandconfiguringapplicationswith
  
  AzureSSOorGoogleSSO(SAML,OIDC,OAuth
  2.0)

• Hands-onexperiencedeploying,configuring,andadministeringlargelanguagemodel(LLM) platforms including
  
  Anthropic
  
  Claude(claude.ai,ClaudeAPI,Claude Code) andGoogle
  
  Gemini acrossenterpriseenvironments
• ExperiencearchitectingandadministeringMCP(Model Context Protocol ) server infrastructure: deployingMCPserverinstances,configuringtoolregistries,managingconnectorecosystems (Airtable,Atlassian,Google Drive,Gmail,andothers),andintegratingMCPserverswith enterpriseidentityandaccesscontrols
• AbilitytodesignandenforceAIconnectorgovernancepolicies:scope management,permission auditing,credentiallifecycle,andconnectoraccessreviews
• ExperienceperformingAIplatformsecurityassessmentscoveringpermissionscopes,data flows,outputvalidationpipelines,promptinjectiondefenses,andHITL(Human-in-the-Loop) controls
• FamiliaritywithAIhardeningprinciples:modelaccesscontrols,rate limiting,WAFintegration,APIgatewayconfiguration,session controls,andkillswitchhierarchiesforAIsystems
• ExperienceconfiguringandmonitoringSIEMdetectionrulesforAIplatformactivityandanomaly detection
• UnderstandingofresponsibleAIdeployment…