ICT Infrastructure Engineer -

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.