AI Engineer (Python/LangGraph/Agentic AI)

Summary:

Develop and roll out new observability and automation solutions, driving increased demand for development capacity for Site Reliability Engineering (AIOps and Agentic AI).

Key Responsibilities:

AIOps & Agentic AI Engineering

Develop Python and/or LangGraph scripts and agentic AI workflows to automateoperational tasks, diagnostics, and remediation.

Build and integrate AIOps capabilities for predictive alerting, anomaly detection,and intelligent event correlation across infrastructure and applications

Design and operationalise agentic AI solutions that augment incident response and reduce manual intervention.

Develop self-healing and auto-remediation workflows driven by AI/ML and event correlation insights.

Infrastructure Automationand CI/CD

Develop infrastructure automation to provision, configure, and manage systems in aconsistent, auditable manner.

Manage automation and AI code through GitHub, applying version control, code review,and collaboration best practices.

IntegrateAIOps and automation components into CI/CD pipelines for continuous testing,validation, and deployment.

Observability, Reliability& Collaboration

Implement observability and event correlation across metrics, logs, and traces to enable proactive reliability management.

Champion SRE frameworks and reliability practices, embedding AIOps into the delivery life cycle

Collaborate with Application, Infrastructure, Cloud, and Cyber teams to enable predictive incident prevention and root-cause transparency

Maintain documentation and runbooks, and mentor engineers on AIOps and automation best practices.