Associate Principal - Architecture Role Purpose Lead the support engineering integration and controlled adoption of automation AIOps observability IT operations tools virtual agents and operational AI solutions across hybrid infrastructure Key Responsibilities Own operational tools covering monitoring event management AIOps automation orchestration job scheduling ITSM integrations discovery reporting and virtual agents Design support models architecture integrations data flows access controls environments release processes backup recovery monitoring and capacity for the toolchain Develop and govern automation using APIs Python PowerShell Ansible Terraform workflow engines runbooks and lowcode platforms Implement event correlation noise reduction anomaly detection predictive insights automated remediation ticket enrichment routing and closedloop operations Support cloud and onpremises telemetry collection across servers databases networks storage applications containers endpoints and business services Establish protected AI practices including approved use cases human oversight access control data classification prompt and output handling auditability evaluation and rollback Manage models or AIenabled features used for operations without exposing sensitive data monitor quality drift false positives and operational risk Troubleshoot integrations agents collectors APIs credentials queues certificates data pipelines dashboards automations and performance issues Maintain source control code review CICD testing reusable modules technical documentation ownership and production support readiness Partner with operations towers to identify highvolume opportunities quantify benefits prioritize backlog and drive measurable adoption OnPremises Cloud Scope Onpremises scope data centers branchcampus locations physical and virtual infrastructure enterprise tools local connectivity operational processes and legacyregulated workloads Cloud scope AWS Microsoft Azure Google Cloud SaaS cloudnative monitoring and security identity integration private connectivity resilience tagging cost awareness and sharedresponsibility controls Hybrid scope consistent governance service mapping monitoring access configuration automation recovery reporting and support handoffs across both environments Technical Functional Skill Matrix Skill AreaExpected CapabilityPriority AutomationPythonPowerShell Ansible Terraform REST APIs JSONYAML Git testing and CICDMandatory Observability AIOpsMetrics logs traces events correlation topology anomaly detection dashboards and engineeringMandatory IT operations toolsMonitoring ITSM integrations schedulers discovery orchestration reporting and virtualagent ecosystemsMandatory AI governanceResponsible use data security humanintheloop evaluation auditability and operational risk controlMandatory Hybrid platformsWindowsLinux virtualization cloud services containers networks databases and identity fundamentalsPreferred Product ownershipRoadmap backlog service levels vendor management adoption benefits realization and stakeholder engagementMandatory Required Qualifications Experience 9 to 12 years of relevant experience including ownership of complex enterprise services and production support Bachelors degree in engineering computer science information technology or a related discipline equivalent practical experience may be considered Demonstrated experience in enterprisescale environments with formal ITSM security audit change and servicelevel controls Strong analytical troubleshooting documentation presentation and stakeholdermanagement capabilities Ability to work across distributed teams and participate in planned changes incident bridges and oncall support when required Preferred Certifications Cloud architectDevOps certification AutomationIaC certification ObservabilityAIOps platform certification Responsible AI or security certification Success Measures KPIs Automation hours saved and adoption Event noise reduction and autoremediation rate Tool availability and integration reliability Change success defect leakage and time to deploy AIautomation control compliance and realized value Behavioral Competencies Customer and business outcome orientation Ownership accountability and disciplined followthrough Clear communication during normal operations and highseverity incidents Collaboration across towers vendors and geographies Continuous learning knowledge sharing and improvement mindset Risk awareness and sound judgment under pressure Screening Guidance Candidates should be assessed through a combination of architecturedesign discussion production troubleshooting scenarios operational governance examples cloudonpremises integrat

📌 Associate Principal Architect - IT Operations & Automation (Mumbai)
🏢 Larsen u0026 Toubro Infotech Ltd (LTI)
📍 Mumbai