ICT Infrastructure Engineer (AI Platform) – Financial Regulatory Sector

About the RoleOur 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 ResponsibilitiesLead the design, deployment, and configuration of resilient, secure, and scalable AI infrastructure in partnership with service providers and internal technology teamsDrive the translation of business and compliance requirements into robust platform infrastructure designs that meet availability, reliability, and resilience standardsOwn the end-to-end onboarding of hosting environments, covering setup, configuration, implementation, testing, and commissioning of required infrastructureAct as the primary point of contact for new AI product initiatives, supporting system design, integration, and acceptance and performance testingManage day-to-day AI platform operations, addressing queries from data scientists and product managers while maintaining service qualityDevelop and continuously improve operational runbooks, standard operating procedures, and automation scripts to simplify platform management and reduce manual effortImplement new platform features and enhancements to improve the overall AI development experience, including building reusable services and MLOps/LLMOps pipelinesCollaborate with architecture, cybersecurity, and data platform teams to ensure all AI infrastructure aligns with enterprise architecture standards, security policies, and relevant regulatory frameworksRequirementsHands-on experience building, securing, and operating enterprise Data Science and AI platforms on AWS or in on-premises environments, with a strong understanding of AI, application, and infrastructure security risks and controlsDemonstrated experience designing and operating DevSecOps, MLOps, and/or LLMOps pipelines in production settingsProficiency 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 solutionsIf you are passionate about technology and meet the above requirements, please don't hesitate to apply. Please note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.Dada Consultants Pte LtdWebsite: www.dadaconsultants.comEA License No.: 18S9037Business Registration Number: 201735941W