AI Engineer (Python/LangGraph/Agentic AI)

NTT Singapore Pte Ltd; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

NTT SINGAPORE PTE. LTD. seeks an experienced AIOps & Agentic AI Engineer to design and roll out observability and automation solutions that boost development capacity for SRE. You will work across infrastructure, cloud, and cyber teams to embed AI-powered automation into delivery life cycles.

Responsibilities include building AI-driven self-healing workflows, integrating with GitHub, and advancing predictive alerting and event correlation to reduce manual interventions.

Qualifications

• Experience building and operating AIOps and automation solutions using Python and LangGraph.
• Experience integrating AI-driven automation into CI/CD pipelines.
• Strong observability and incident response mindset with SRE practices.
• Collaborative skills across cross-functional teams.

Responsibilities

• Develop Python and LangGraph scripts and agentic AI workflows to automate operational tasks, diagnostics, and remediation.
• Build and integrate AIOps capabilities for predictive alerting, anomaly detection, and intelligent event correlation.
• 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.
• Develop infrastructure automation to provision, configure, and manage systems in a consistent, auditable manner.
• Manage automation and AI code through GitHub with version control and code reviews.
• Integrate AIOps and automation components into CI/CD pipelines for continuous testing, validation, and deployment.
• Champion observability and reliability practices across teams and maintain runbooks.

Skills

Python

LangGraph

Agentic AI workflows

AI/ML concepts

GitHub

CI/CD pipelines

Observability

SRE practices

Tools

GitHub

Job description

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.