AIOps Leader
Airbus (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 30–48 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture and implementation of end-to-end AI/ML automation for self-healing cloud infrastructure and operational workflows.
- Develop and maintain intelligent diagnostic tools including RAG-driven knowledge systems, conversational AI agents, and automated triage engines to reduce operational toil and optimize MTTR.
- Own observability frameworks, predictive anomaly detection models, and operational dashboards tracking key metrics like SLA compliance and ticket deflection across AI platforms.
Minimum Requirements
- 7+ years of hands-on experience in Software Engineering, SRE, DevOps, or Systems Operations with focus on cloud infrastructure automation and AI/ML tooling.
- Bachelor's or Master's degree in Computer Science, Software Engineering, IT, or related quantitative field.
- 3+ years experience architecting and operating on major cloud platforms (AWS or GCP) including native AI/ML compute platforms.
- Strong programming skills in Python, Go, or Shell and experience with Infrastructure-as-Code tools such as Terraform, AWS CloudFormation, or Google Cloud Deployment Manager.
Ideal Candidate Profile
- Proven ability to independently architect complex AI/ML-driven automation and incident remediation systems in production cloud environments.
- Demonstrated experience bridging software engineering, site reliability, and AI/ML operations to create scalable, automated support and operations frameworks.
- Experience leading cross-functional collaboration between support teams, platform engineering, and business leadership to reduce MTTR and operational toil in AI contexts.