ICT Infrastructure Engineer

As a Senior Consultant ICT Infrastructure Engineer, you will manage multiple priorities in a fast-paced environment while supporting stakeholder needs and responding effectively to change. Specifically, you are expected to: - Partner with Data Science and Product Management teams to productionise and host Data Science and AI products on on-premises and cloud-based AI platforms. - Work with various technology teams, including Platform Architecture and Engineering, Cybersecurity, and Data & Collaboration Platforms, to define requirements and integrate scalable, secure, and compliant AI platforms into the enterprise environment. 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 enterprise architecture and security standards, as well as applicable technology 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 and Standard Operating Procedures (SOPs), and adhere to enterprise and compliance mandates. - Continually improve the AI platform experience by implementing new features and enhancements. - Continually simplify product development and operations through automation and the development of reusable services. - Assist in AI platform design reviews and the improvement of AI, operating system, 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 perspectives 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 is preferred. - Hands-on experience with Infrastructure-as-Code (IaC), automation, and Python technology stacks is preferred. - Experience working with Identity & Access Management services, such as Entra ID, AWS Cognito, and AWS IAM, and Monitoring & Observability services, such as CloudWatch, Splunk, and Elastic, is 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.

• ICT Infrastructure Engineer – Endpoints

  Internal Security Department · Singapore, Singapore

• ICT Infrastructure Project Management

  Internal Security Department · Singapore, Singapore