Lead AI Platform Engineer

SINGAPORE TELECOMMUNICATIONS LIMITED; Singapore; Hybrid; SGD 180,000 - 260,000; Full time

Job summary

Singtel, through its AIDA – Artificial Intelligence & Data Analytics unit, seeks a leader to drive the Central AI Kitchen platform services on RE:AI’s IaaS, using OpenShift. You will own platform capabilities, enable secure AI agent interactions, and guide a cross-border team in Singapore and India.

You’ll design and implement MCP servers/gateways, establish reusable onboarding patterns, and enforce security controls while coordinating delivery with enterprise teams and vendors.

Qualifications

• Bachelor’s degree in CS, Engineering, or related field.
• 8+ years in platform engineering, cloud-native infra, or AI/data platform roles.
• Experience implementing platforms on Kubernetes/OpenShift.
• Experience designing or integrating enterprise APIs, gateways, identity platforms.
• Proven ability to lead platform components and guide engineering teams.
• Ability to coordinate delivery across multiple engineers and geographies.

Responsibilities

• Lead implementation and operation of Central AI Kitchen's shared Agentic AI Platform Services on RE:AI's IaaS using 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 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, cybersecurity, application teams and other AI Platform Engineering leads.

Skills

Leadership

Platform engineering

Cloud-native infra

Kubernetes/OpenShift

Enterprise API design

Security controls

Hybrid team management

Documentation & reviews

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes/OpenShift

API gateways

Job description

Powering the Future with AIDA

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