Lead AI Platform Engineer: Enterprise-Scale AI & Security

Singtel Group

Singapore

Hybrid

SGD 180,000 - 260,000

Full time

5 days ago
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Job summary

Singtel invites you to join the AIDA – Artificial Intelligence & Data Analytics unit, leading the Central AI Kitchen platform services across Singapore and India. You will implement and operate scalable AI platform components, ensure secure agent-to-tool interactions, and drive governance and reliability.

This role requires 8+ years in platform engineering, strong Kubernetes/OpenShift experience, API design skills, and proven leadership to mentor engineers, set standards, and deliver enterprise

Qualifications

  • Bachelor’s degree in CS, Engineering, or related field.
  • 8+ years in platform engineering or AI infra.
  • Experience with Kubernetes/OpenShift.
  • Experience with enterprise APIs, gateways, identity platforms.
  • Led platform components and provided technical direction.
  • Coordinated delivery across multiple teams and locations.

Responsibilities

  • Lead implementation and lifecycle management of agent services.
  • Design and operate MCP servers and gateway capabilities.
  • Implement identity/auth capabilities with security focus.
  • Operate enterprise agent registry and governance.
  • Develop reusable platform standards and onboarding patterns.
  • Coordinate delivery across Singapore and India.
  • Establish engineering practices and handovers.
  • Collaborate with AI architects, security, and infra teams.

Skills

Leadership
Cloud-native infra
Kubernetes/OpenShift
API design & gateways
Security controls
Cross-team coordination

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Job description

Singtel invites you to join the AIDA – Artificial Intelligence & Data Analytics unit, leading the Central AI Kitchen platform services across Singapore and India. You will implement and operate scalable AI platform components, ensure secure agent-to-tool interactions, and drive governance and reliability.

This role requires 8+ years in platform engineering, strong Kubernetes/OpenShift experience, API design skills, and proven leadership to mentor engineers, set standards, and deliver enterprise

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