Lead AI Platform Engineer #AIDA

About the role

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.

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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?

Join Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real impact.