Lead AI Platform Engineer #AIDA

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

To lead the next phase of our AI evolution, we’ve launched a new business unit AIDA – Artificial Intelligence & Data Analytics – a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose. This marks a pivotal shift in how we operate, innovate, and serve to embed intelligence into every layer of our business.

At Singtel, this is more than a technology upgrade. It’s a strategic transformation that redefines how value is created across the enterprise core—augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processes under one cohesive strategy. Our mission is to build AI literacy and foster a culture where intelligence empowers people.

We welcome you to join us on a transformational journey that’s reshaping the telecommunications industry — and redefining what’s possible with AI at its core. Grow with us in a workplace that champions innovation, embraces agility, and puts human potential at the heart of everything we do.

About the Role:
  • Lead implementation and operation of Central AI Kitchen's shared Agentic AI Platform Services running on RE:AI's IaaS using Red Hat OpenShift or equivalent container platforms.
  • Own and evolve platform capabilities supporting secure interaction between AI agents, enterprise systems and tools, including MCP services, MCP/API gateways, agent identity and agent registry.
  • Develop reusable platform patterns and services to enable application teams to build, onboard and operate governed enterprise AI agents.
  • Contribute to the security, scalability, interoperability, resilience and reliability of agentic AI services.
  • Lead and coordinate a hybrid engineering team across Singapore and India, providing technical direction, work planning, mentoring and delivery oversight.
  • Collaborate with AI architects, infrastructure teams, cybersecurity, application teams and other AI Platform Engineering leads.
How You will Make An Impact:
  • Lead implementation and lifecycle management of assigned agent services on Central AI Kitchen.
  • Design, implement and operate MCP servers and MCP gateway capabilities to provide standardized and governed connectivity between AI agents, enterprise tools, APIs and data services.
  • Implement agent identity and authentication capabilities in collaboration with NCS development team to establish trusted identities for AI agents and support secure agent-to-tool, service-to-service and agent-to-agent interactions.
  • Implement and operate an enterprise agent registry supporting agent discovery, metadata management, ownership, lifecycle status and governance.
  • Design and implement agent and tool gateway capabilities to govern access, routing, policy enforcement and integration with enterprise services.
  • Establish reusable standards and onboarding patterns for agents, MCP servers, tools, APIs and other agentic AI components.
  • Implement security controls for authentication, authorization, secrets management, tool access and least-privilege execution by AI agents.
  • Integrate assigned platform services with enterprise infrastructure and security services, including IAM, API management, secrets management, SIEM, logging and cybersecurity controls.
  • Support implementation of agent-to-agent interoperability and emerging agent communication standards where applicable.
  • Lead and coordinate engineers across Singapore and India, including work planning, technical direction, task allocation and delivery tracking.
  • Establish effective engineering practices across the hybrid team, including coding standards, documentation, design reviews, testing, knowledge sharing and technical handovers.
  • Coordinate delivery across internal staff, offshore engineers, vendors and other platform teams to ensure assigned capabilities are delivered and operated effectively.
Skills for Success:
  • Bachelor’s degree in Computer Science, Engineering, or a related field
  • 8+ years of experience in platform engineering, cloud-native infrastructure, or data/AI platform roles.
  • Experience in platform implementation on Kubernetes/OpenShift
  • Experience designing or integrating enterprise APIs, gateways, identity platforms or distributed application services.
  • Experience leading implementation of platform components and providing technical direction to engineering teams.
  • Experience coordinating delivery across multiple engineers, teams or geographical locations
Are you ready to say hello to BIG Possibilities?
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