AI Platform Engineer #AIDA

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.

Be a Part of Something BIG! 

• Support implementation and operation of Central AI Kitchen's shared Agentic AI Platform Services running on Red Hat OpenShift or equivalent container platforms.
• Assist in implementing and maintaining platform capabilities supporting secure interaction between AI agents, enterprise systems and tools, including MCP services, MCP/API gateways, agent identity and agent registry.
• Develop and maintain reusable platform components and services to enable application teams to build, onboard and operate governed enterprise AI agents.
• Support the security, scalability, interoperability, resilience and reliability of agentic AI services.
• Perform hands-on engineering, testing, troubleshooting, deployment and operational support under the technical direction of the Lead AI Platform Engineer.
• Collaborate with AI architects, infrastructure teams, cybersecurity, application teams and other AI Platform Engineering teams.

Make an Impact by:

• Support implementation and lifecycle management of assigned agent services on Central AI Kitchen
• Implement and operate MCP servers and MCP gateway capabilities to provide standardized and governed connectivity between AI agents, enterprise tools, APIs and data services.
• Support implementation of agent identity and authentication capabilities in collaboration with the Lead AI Platform Engineer and development teams to enable trusted identities for AI agents and secure agent-to-tool, service-to-service and agent-to-agent interactions.
• Implement and operate components of the enterprise agent registry supporting agent discovery, metadata management, ownership, lifecycle status and governance.
• Implement security controls for authentication, authorization, secrets management, tool access and least-privilege execution by AI agents according to approved platform and cybersecurity standards.
• Perform testing, troubleshooting, defect resolution, deployment and operational support for assigned platform services.
• Maintain technical documentation, deployment configurations, test cases, operating procedures and knowledge articles for assigned components.
• Work with internal staff, offshore engineers, vendors and other platform teams to support delivery and operation of assigned capabilities.

Skills for Success:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 2–4 years of experience in software engineering, platform engineering, cloud-native infrastructure, DevOps, or data/AI platform roles.
• Hands-on experience working with Kubernetes/OpenShift or equivalent container platforms.
• Experience developing, deploying or integrating APIs, microservices or distributed application services.
• Experience with software development, scripting, system integration or platform automation.
• Experience working in engineering teams using source control, CI/CD and structured software delivery practices.
• Hands-on experience with Red Hat OpenShift / Kubernetes or equivalent container platforms, including workload deployment, configuration and basic troubleshooting.
• Understanding of REST APIs, API gateways, service-to-service communication and distributed system integration.
• Basic understanding of enterprise identity and security concepts including OAuth2, OIDC, RBAC, service identities and secrets management.
• Basic understanding of GenAI and AI agent architectures, including agents, tools, models and APIs.
• Experience developing or supporting containerized microservices.
• Familiarity with Git, GitOps, CI/CD and Infrastructure-as-Code practices.
• Understanding of observability concepts including logging, metrics, tracing and operational monitoring.
• Working knowledge of cybersecurity principles including least privilege, credential management, authentication and authorization.
• Good analytical and problem-solving skills.
• Ability to learn new technologies and apply them to practical engineering problems.
• Good communication skills and ability to work effectively within engineering teams.
• Ability to collaborate across AI, infrastructure, cybersecurity, architecture and application teams.
• Ability to work independently on assigned tasks with guidance from senior engineers.
• Willingness to document work, share knowledge and follow established engineering practices.

Are you ready to say hello to BIG Possibilities?

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!