AI Platform Engineer #AIDA

Singtel Group; Singapore; Presencial; SGD 90 000 - 130 000; Tempo integral

Resumo da oferta

Singtel Group is seeking an AI Platform Engineer to lead platform services for Central AI Kitchen. The role focuses on deploying and operating agent-based AI platforms on container platforms like OpenShift/Kubernetes, with emphasis on security, scalability, and reliability.

The ideal candidate has 2–4 years in software/platform engineering, strong CI/CD and API skills, and the ability to collaborate across AI, infrastructure, and security teams. OpenShift experience is essential.

Qualificações

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2–4 years of software or platform engineering experience.
• Hands-on with Kubernetes/OpenShift.
• Experience with APIs, microservices, distributed apps.
• CI/CD, GitOps, and IaC practices.
• Strong debugging and problem-solving skills.
• Good communication and teamwork.
• Ability to learn new technologies.

Responsabilidades

• 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.

Conhecimentos

Kubernetes/OpenShift

APIs & microservices

CI/CD

GitOps

Observability

Security concepts

Collaboration

Problem solving

Containerization

Formação académica

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

Ferramentas

Red Hat OpenShift

Kubernetes

OAuth2/OIDC

Git

CI/CD tooling

Descrição da oferta de emprego

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

AtSingtel, this is more than a technology upgrade. It’s astrategic transformationthat redefines how value is created across the enterprise core—augmenting human capabilitiesand unlocking entirely new potential. It is a transformation journey by aligningpeople, platforms, and processesunder one cohesive strategy. Our mission is to buildAI literacy, and foster a culture whereintelligence empowers people.

We welcome you to join uson a transformational journey that’s reshaping the telecommunications industry — and redefining what’s possible with AI at its core.Grow with usin a workplace that championsinnovation, embracesagility, and putshuman 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?