SA, Network System AI Engineer, Group Infrastructure & Cloud, Group Technology

Business Function Group Technology enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group Technology, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels. Responsibilities • Design, develop, and deploy AI-enabled applications and automation solutions for network operations and infrastructure management. • Build web applications, dashboards, and self-service portals using Python and React.js. • Develop and integrate AI solutions leveraging LLMs, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), AI agents, and vector databases. • Create automation workflows for network provisioning, monitoring, anomaly detection, predictive maintenance, and operational efficiency. • Develop, test, troubleshoot, and maintain applications, scripts, and APIs across Windows and Linux environments. • Integrate applications with internal and external systems through REST APIs and other interfaces. • Collaborate with network engineering teams to translate business requirements into technical solutions. • Ensure solutions meet security, compliance, risk management, and operational standards. • Maintain technical documentation, code quality, and development best practices. • Provide support, enhancements, and troubleshooting for existing applications and platforms. • Participate in on-call support and incident resolution as required. Requirements • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field. • Strong hands-on development experience in Python and React.js. • Proven experience building web applications, APIs, automation tools, and backend services. • Experience designing and implementing RAG, MCP, AI agents, and LLM-powered applications. • Knowledge of AI frameworks, prompt engineering, vector databases. • Experience integrating AI solutions with enterprise systems and network platforms. • Familiarity with DevOps/MLOps practices, CI/CD pipelines, containerization, and deployment automation. • Strong analytical, troubleshooting, and problem-solving skills. Location: DBS Asia Hub Job: Technology Schedule: Regular Employee Status: Full time