AI Platform Engineer #AIDA

Singtel; Singapore; On-site; SGD 75,000 - 95,000; Full time

Job summary

Singtel is looking for an AI Platform Engineer in Singapore to support the implementation and evolution of its AI platform. The role involves integrating core components, managing OpenShift clusters, and ensuring platform security. Candidates should have a Bachelor’s degree in Computer Science or related field, and at least 3 years of experience in platform engineering with hands-on expertise in Kubernetes and cloud-native infrastructure. Strong problem-solving and collaboration skills are essential.

Qualifications

• 3+ years of experience in platform engineering, cloud-native infrastructure, or AI/data platform roles.
• Hands-on experience with Kubernetes/OpenShift including operators, networking, and security.
• Familiarity with Infrastructure-as-Code (IaC) and DevOps/CI/CD practices.

Responsibilities

• Supporting implementation of AIDA’s AI Platform using Red Hat OpenShift.
• Integrating core platform components and automating operations.
• Implementing platform security controls aligned with enterprise standards.

Skills

Platform engineering

Cloud-native infrastructure

Kubernetes/OpenShift

Infrastructure-as-Code

Problem-solving

Collaboration

Education

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

Tools

Kubernetes

OpenShift

CI/CD pipelines

Job description

AI Platform Engineer

You will support the implementation and evolution of AIDA’s AI platform, enabling scalable, secure, and reliable AI/ML and GenAI capabilities across the organization. You will work closely with cross‑functional teams to build and integrate modern AI platform components that power next‑generation applications.

Responsibilities

• Supporting implementation of AIDA’s AI Platform on RE:AI’s IaaS using Red Hat OpenShift or equivalent container platforms
• Integrating core platform components such as API Gateway, RAG pipelines, agent orchestration, and observability stacks
• Assisting in deployment and management of OpenShift clusters (CPU/GPU), including operators, networking, and security configurations
• Automating platform provisioning and operations using Infrastructure‑as‑Code (IaC), CI/CD pipelines, and standardized deployment patterns
• Integrating platform capabilities with enterprise infrastructure including networking, storage, load balancers, and backup systems
• Implementing platform security controls (IAM/AD, SIEM, NGFW, EDR) in alignment with enterprise standards
• Supporting AI/ML workloads including GenAI, LLM serving, RAG pipelines, and agentic frameworks
• Contributing to platform monitoring, logging, performance tuning, and capacity planning

Skills for Success

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 3+ years of experience in platform engineering, cloud‑native infrastructure, or AI/data platform roles
• Hands‑on experience with Kubernetes/OpenShift (e.g., operators, networking, security)
• Familiarity with Infrastructure‑as‑Code (IaC) and DevOps/CI/CD practices
• Basic understanding of cloud/IaaS networking and security principles
• Exposure to AI/ML platform components such as LLMs, RAG, or similar frameworks
• Strong problem‑solving skills with a proactive learning mindset
• Effective collaboration and communication skills

Good to Have

• Red Hat, Kubernetes, or OpenShift certifications