Role & responsibilities Role Overview The AI Automation Operations Engineer provides daytoday operational support for AIdriven automation services that improve application reliability incident response operational efficiency and user experience This role focuses on operating monitoring troubleshooting and continuously improving LLMpowered automation agentic workflows and intelligent observability solutions in production The Engineer will ensure services remain secure reliable supportable and compliant by managing incidents service requests changes releases runbooks and operational controls in partnership with product engineering reliability platform and business teams

Key Responsibilities
Provide operational support for AI automation platforms LLMbased agents orchestration pipelines and integrations across production and nonproduction environments Monitor service health model and workflow performance availability capacity and operational risks using dashboards alerts logs and observability tools Triage and resolve incidents service requests and problems coordinate crossfunctional response stakeholder communications escalation and restoration of service Perform rootcause analysis and drive corrective and preventive actions for recurring failures degraded model behavior integration issues and automation exceptions Execute approved configuration changes releases patches upgrades and environment maintenance in accordance with changemanagement and validation requirements Maintain operational controls for security access data privacy model safety grounding hallucination monitoring and governance identify and escalate control gaps Create and maintain runbooks knowledge articles support procedures service maps support metrics and recovery documentation Partner with engineering teams during solution transition to operations ensuring monitoring alerting support readiness documentation ownership and acceptance criteria are complete Identify repetitive support activities and implement lowrisk enhancements scripts and workflow improvements within established engineering standards Track service levels incident trends automation success rates userimpact indicators and operational improvement actions contribute to service reviews and audit evidence What We Are Looking For Required Qualifications Bachelors degree in Computer Science Engineering Information Technology or a related technical discipline or equivalent practical experience 46 years of professional experience in application support platform operations SRE production engineering or automation operations including experience supporting enterprise AI or automation services Handson experience with incident problem change release and servicerequest management in an enterprise support environment Working knowledge of LLM platforms AI agents promptbased workflows retrieval or grounding patterns and model safety considerations Experience supporting integrations with enterprise platforms such as ServiceNow SAP Veeva or comparable business systems Proficiency in troubleshooting APIs authentication data flows logs and distributed application dependencies working knowledge of Python or equivalent scripting for support automation Experience with monitoring and observability practices including dashboards alerts logging performance analysis and operational metrics Strong analytical documentation and communication skills with the ability to coordinate technical resolution and communicate clearly with business and technology stakeholders Desired Qualifications Experience supporting cloudhosted AI or automation services on Azure or a comparable platform Familiarity with AIOps SRE practices ITIL processes observabilitydriven operations and automated remediation Experience with oncall support major incident response service continuity disaster recovery or regulated production environments Knowledge of enterprise security compliance access management data protection and AI governance requirements Ability to make controlled enhancements to existing automation prompts configurations and support tooling without assuming primary ownership for new solution development

📌 AI Automation Engineer (Bengaluru)
🏢 LTM
📍 Bengaluru