ICT Infrastructure Engineer (AI Platform) – Financial Regulatory Sector

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 100,000 - 140,000; Full time

Job summary

Dada Consultants Pte Ltd is recruiting for a senior AI infrastructure role in Singapore. You will deploy and manage enterprise-grade AI and data science platforms across on-premises and cloud environments, acting as the bridge between data science, product management, and infrastructure teams.

You will lead secure, scalable AI infrastructure projects, drive platform design aligned with regulatory standards, and own end-to-end hosting/onboarding.

Qualifications

• Hands-on experience building AI platforms on AWS or on-prem
• Experience designing/operating DevSecOps, MLOps or LLMOps pipelines
• Proficiency with AI services, container tech, Linux, and Python is a plus
• Knowledge of IAM and monitoring/observability basics is a bonus
• Strong written and verbal communication to influence stakeholders

Responsibilities

• Lead design, deployment, and configuration of scalable AI infrastructure
• Translate business/compliance requirements into robust platform designs
• Own onboarding of hosting environments from setup to commissioning
• Act as primary contact for new AI product initiatives and testing
• Manage day-to-day AI platform operations and service quality
• Develop runbooks, SOPs, and automation to simplify management
• Implement new features and ML/LLM pipelines to improve development experience
• Collaborate with architecture, cybersecurity, and data teams to ensure standards

Skills

AI platform operations

DevSecOps

MLOps/LLMOps pipelines

Python

Cloud and on-prem deployment

Security risk awareness

Tools

Infrastructure-as-Code

Automation tooling

Monitoring tools

Job description

About the Role

Our client is a prominent statutory authority in Singapore's financial sector, operating at the intersection of regulation, technology, and data. This role sits within a Production Engineering team that is responsible for deploying and managing enterprise-grade AI and data science platforms across both on-premises and cloud environments. You will serve as the technical bridge between data science, product management, and infrastructure teams — ensuring that AI products are reliably productionised and hosted at scale. This is a high-impact position for someone who thrives in a structured yet innovative environment and wants to shape how AI infrastructure is built and governed within a mission-critical organisation.

Key Responsibilities

• Lead the design, deployment, and configuration of resilient, secure, and scalableAI infrastructurein partnership with service providers and internal technology teams
  
• Drive the translation of business and compliance requirements into robust platform infrastructure designs that meet availability, reliability, and resilience standards
  
• Own the end-to-end onboarding of hosting environments, covering setup, configuration, implementation, testing, and commissioning of required infrastructure
  
• Act as the primary point of contact for new AI product initiatives, supporting system design, integration, and acceptance and performance testing
  
• Manage day-to-dayAI platform operations, addressing queries from data scientists and product managers while maintaining service quality
  
• Develop and continuously improve operational runbooks, standard operating procedures, and automation scripts to simplify platform management and reduce manual effort
  
• Implement new platform features and enhancements to improve the overall AI development experience, including building reusable services andMLOps/LLMOps pipelines
  
• Collaborate with architecture, cybersecurity, and data platform teams to ensure all AI infrastructure aligns with enterprise architecture standards, security policies, and relevant regulatory frameworks
  

Requirements

• Hands-on experience building, securing, and operating enterpriseData Science and AI platformson AWS or in on-premises environments, with a strong understanding of AI, application, and infrastructure security risks and controls
  
• Demonstrated experience designing and operatingDevSecOps, MLOps, and/or LLMOps pipelines in production settings
  
• Proficiency with AI and container services, LLM inference, and Linux system administration; experience with Infrastructure-as-Code, automation tooling, and Python(is a bonus)
  
• Familiarity with Identity & Access Management services (e.g. Entra ID, AWS Cognito, AWS IAM) and Monitoring & Observability tools (e.g. CloudWatch, Splunk, Elastic)(is a bonus)
  
• Knowledge of PostgreSQL, vector databases, object storage, and processing of structured and unstructured datasets(is a bonus)
  
• Strong written and verbal communication skills, with the ability to influence stakeholders, assess compliance requirements, and develop practical, sustainable infrastructure solutions
  

Dada Consultants Pte Ltd

Website: www.dadaconsultants.com

EA License No.: 18S9037

Business Registration Number: 201735941W