AI Platform Engineer

INFINITE COMPUTER SOLUTIONS PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

INFINITE COMPUTER SOLUTIONS PTE LTD in Singapore seeks an AI Platform Engineer to deliver resilient AI infrastructure. You will translate business requirements into scalable platform designs and work with providers to deploy secure, compliant AI solutions.

Ideal candidates have hands-on experience with AI pipelines (MLOps/LLMOps), IAM, monitoring tools, and Linux. You will drive automation, improve runbooks and support data scientists and product managers.

Qualifications

• Hands-on experience building and operating AI platforms on AWS or on-prem.
• Experience with DevSecOps, MLOps, and/or LLMOps pipelines.
• Experience with AI and container services, LLM inference and Linux.
• Infrastructure-as-Code, automation and Python stack familiarity.
• Knowledge of IAM, monitoring tools and security controls.

Responsibilities

• Deliver projects meeting platform availability, reliability and resilience requirements.
• Translate business needs into platform infrastructure designs.
• Collaborate with service providers to deploy secure AI infrastructure.
• Ensure compliance with security standards and AI policies.
• Onboard hosting environments and manage architecture across servers and containers.
• Improve runbooks, SOPs and drive automation for reusable services.

Skills

Communication

Stakeholder management

Requirements analysis

MLOps familiarity

DevSecOps experience

Linux experience

Python programming

Automation

Tools

AWS

AWS Cognito

AWS IAM

Entra ID

CloudWatch

Splunk

Elastic

PostgreSQL

Job description

Key Responsibilities

• Deliver projects within the assigned practice to meet platform availability, reliability and resilience requirements.
• Translate business requirements into platform infrastructure designs.
• Work with service providers to design, deploy and configure resilient, available and secure AI infrastructure.
• Ensure compliance with the Authority's Enterprise Architecture and Security Standards, as well as IM8 and AI Policies.
• Act as the point-of-contact for new AI product initiatives, supporting system design, integration, acceptance and performance testing.
• Manage AI platform operations and address queries from Data Scientists and Product Managers.
• Improve operational runbooks, SOPs and adhere to enterprise and compliance mandates.
• Continually improve AI platform experience by implementing new features and enhancements.
• Continually simplify product development and operations through automation and building reusable services.
• Assist in AI Platform design review and improvement of AI, OS, container and database security standards.
• Onboard hosting environments by designing, setting up, configuring, implementing, testing and commissioning the required infrastructure.
• Manage system architecture, resource planning, platform performance, and hosting across servers, operating systems, and containers, excluding hypervisor and storage layers.

What we are looking for

• Strong written and verbal communication skills, with the ability to pitch ideas, influence stakeholders and balance strategic perspective with business needs and challenges.
• Ability to assess project and compliance requirements and develop practical, sustainable solutions.
• Hands-on experience building, securing and operating enterprise Data Science and AI platforms on AWS or in on-premises environments.
• Hands-on experience building and operating DevSecOps, MLOps, and/or LLMOps pipelines.
• Hands-on experience with AI and container services, LLM inference and Linux preferred.
• Hands-on experience with Infrastructure-as-Code, automation and Python tech stack preferred.
• Experience working with Identity & Access Management services (e.g. Entra ID, AWS Cognito and AWS IAM), and Monitoring & Observability services (e.g. CloudWatch, Splunk and Elastic) are advantageous.
• Knowledge of PostgreSQL, vector databases, object storage, and the processing of structured and unstructured datasets is advantageous.
• Good understanding of AI,application and infrastructure security risks and controls.