AI Infrastructure Ops Engineer

We are looking for an AI-driven AutomationEngineer to build and implement self-healing infrastructure automation usingAI, RPA, and orchestration tools. This role focuses on event-driven automation,integrating tools like Ansible, AI models, and infrastructure platforms to movefrom manual operations to intelligent automation. Role Develop AI-enabled automation workflows for incident detection, analysis, and remediation Build event-driven automation pipelines (Detect → Analyze → Trigger → Remediate) Integrate AI models (e.g., OpenAI /LLM) for intelligent decision-making and root cause analysis Develop Ansible playbooks for automated remediation and configuration management Automate infrastructure across domains (Unix, Network, Wintel, Firewall) Integrate automation with orchestration tools (Ansible Tower, APIs) Implement key AI use cases such as: Backup failure analysis & auto-remediation Intelligent incident handling Work with APIs (e.g., NetBackup) and system integration Integrate: Monitoring tools (Elastic / Dynatrace)CMDB (Device42)AI platforms (OpenAI / Claude) Build end-to-end AI+ automation ecosystem across tools Work closely with infra platform teams to build shared automation capability Drive Build → Upskill → Transfer model to domain teams Requirements Minimum of 3 years of experience in IT Strong with Ansible / automation scripting, Python / scripting Infrastructure systems (Unix, Windows, Network) Good understanding of: APIs, system integration, Event-driven architecture Exposure to: AI/LLM integration (OpenAI, etc.) RPA tools (UiPath / others) Experience with AIOps / observability tools (Elastic, Dynatrace) Experience with infrastructure automation at enterprise scale Able to connect infra + AI+ automation together EA Reg. No. 25C2690 | EA License No. R1330510 | sumit.sambhi@tangspac.com