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 stable 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 workplace 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 current solution development

📌 AI Automation Engineer (Bengaluru)
🏢 LTM
📍 Bengaluru