AI Engineer, Office of Integrated Information Technology Services

Responsibilities

• Enhance and support SMU's enterprise AI platforms, including customisations, infrastructure, monitoring, and day-to-day operations.
• Maintain and govern AI access for approved applications and third-party tools, including API key issuance, model access management, usage monitoring, cost tracking, and governance controls.
• Build production-ready AI-enabled applications, APIs, backend services, and integrations using LLMs, agents, workflow automation, and enterprise data sources.
• Integrate AI platforms with Microsoft Azure, Entra ID, Microsoft 365, SharePoint, and Microsoft Graph; manage model deployments, endpoints, quotas, and access controls.
• Manage the full lifecycle of AI-enabled applications, including CI/CD, controlled releases, evaluation, and production support.
• Implement logging, monitoring, audit trails, content filtering, and other responsible AI safeguards aligned with institutional policies.
• Partner with AI governance, security, infrastructure, application, and business teams to ensure AI platforms and applications are reliable, secure, scalable, and fit for operational use.
• Contribute to AI literacy and enablement across the SMU community, including knowledge sharing, documentation, internal demos, and helping users adopt AI tools effectively.
• Other duties as assigned.
  
  

Qualifications

• Degree in Computer Science, Information Systems, Software Engineering, Artificial Intelligence, Data Science, or a related discipline with 5 to 6 years of relevant work experience.
• Equivalent professional experience in software engineering, cloud engineering, platform engineering, or AI application development may also be considered.
• Relevant certifications in Azure, cloud engineering, DevOps, AI engineering, or Microsoft ecosystem technologies would be advantageous.
• Experience developing, maintaining, and supporting AI platforms used by multiple users, teams, or applications, with attention to reliability, scalability, monitoring, and ongoing enhancement.
• Able to design and build production-ready applications, APIs, and backend services that integrate LLMs, agents, and workflow automation.
• Understands Azure, Microsoft Entra ID, Microsoft 365, SharePoint, and Microsoft Graph. Able to configure SSO, user groups, role-based access control, and secure authentication patterns for enterprise applications.
• Able to work with Azure AI Foundry, model deployments, model endpoints, quotas, usage patterns, and access patterns.
• Able to support governed AI access layers for approved applications and tools, including API key issuance, model access, usage monitoring, and cost tracking.
• Understands data residency requirements, privacy controls, audit logging, and responsible AI practices. Able to implement safeguards aligned with institutional policies, including content filtering, usage governance, and compliance reporting.
• Able to manage the full lifecycle of AI-enabled applications, from development and CI/CD to environment promotion, controlled releases, deployment, monitoring, evaluation, maintenance, and ongoing production support.
• Comfortable with containers, cloud hosting, environment separation, logging, monitoring, and production support.
• Uses AI tools creatively and critically to accelerate coding, debugging, research, prototyping, and problem solving.
• Keeps up to date with emerging AI tools, models, and practices, and can translate relevant developments into practical applications, platform improvements, and adoption opportunities for SMU.
  
  

Other Information

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.