AI DevSecOps Engineer (AI Deployment Office), Information Technology Division

Ministry of Law, Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Ministry of Law, Singapore, through its AI Deployment Office, seeks an AI DevSecOps Engineer to design, build, and operate AI-enabled applications in a secure, scalable, production-ready manner.

You will collaborate with the Data & AI Office, product managers, IT teams and cybersecurity teams to operationalise approved AI models and ensure reliable delivery through CI/CD, monitoring and governance.

Qualifications

• Degree in Computer Science, Software Engineering, or a related field with at least 5 years of relevant experience.
• Strong hands-on experience developing backend applications, APIs and system integrations.
• Experience with cloud or application platforms, containerisation and deployment technologies.
• Experience building and operating CI/CD pipelines, source code control, automated testing and deployment automation.
• Good understanding of application security, identity and access management, secrets management and secure integration practices.

Responsibilities

• Translate approved AI prototypes and use cases into secure, production-ready applications and technical solutions.
• Develop application, API, integration and workflow components required to operationalise AI solutions.
• Integrate AI-enabled solutions with applications, databases and digital platforms.
• Build and maintain CI/CD pipelines, deployment automation and controlled release processes.
• Configure application environments, containers and supporting cloud or enterprise platform services.
• Implement security, privacy and Responsible AI controls required for production deployment.
• Monitor application health, integration performance and operational metrics, and troubleshoot production incidents.
• Maintain technical, architecture, deployment and compliance artefacts to support audit, operations and BAU handover.

Skills

DevSecOps

Backend engineering

Cloud engineering

AI/ML integrations

Security controls

Education

Bachelor's degree in Computer Science or related

Tools

CI/CD automation

Container platforms (Docker/Kubernetes)

Cloud platforms (AWS/Azure/GCP)

Job description

What The Role Is

You will be part of MinLaw’s AI Deployment Office within the Information Technology Division (ITD), responsible for turning validated Artificial Intelligence, Automation and Analytics ("3As") use cases into secure, scalable and production-ready solutions.

You will be part of MinLaw’s AI Deployment Office within the Information Technology Division (ITD), responsible for turning validated Artificial Intelligence, Automation and Analytics ("3As") use cases into secure, scalable and production-ready solutions.

As the AI DevSecOps Engineer, you will design, build, integrate and operate AI-enabled applications within MinLaw’s environment. You will work across application engineering, cloud platforms, CI/CD, security and production operations to ensure AI solutions are reliable, maintainable and ready for sustained use.

You will work closely with the Data & AI Office (DAIO), product managers, information technology teams, cybersecurity teams and vendors to operationalise approved AI models, tools and prototypes into production-ready applications.

What You Will Be Working On

• Translate approved AI prototypes and use cases into secure, production-ready applications and technical solutions.
• Develop application, API, integration and workflow components required to operationalise AI solutions.
• Integrate AI-enabled solutions with applications, databases and digital platforms.
• Build and maintain CI/CD pipelines, deployment automation and controlled release processes.
• Configure application environments, containers and supporting cloud or enterprise platform services.
• Implement security, privacy and Responsible AI controls required for production deployment.
• Monitor application health, integration performance and operational metrics, and troubleshoot production incidents.
• Maintain technical, architecture, deployment and compliance artefacts to support audit, operations and BAU handover. These responsibilities reflect the role’s focus on solution engineering, integration, DevSecOps, production operations and security/governance.

What We Are Looking For

• Key Competencies* [Deep Critical Thinking] - Analyse complex technical issues, assess design and implementation trade-offs, and develop robust solutions based on evidence and engineering principles. [Systems Thinking] - Understand how applications, AI services, infrastructure, security controls, data and platforms interact, and identify dependencies across the wider technology environment. [Ownership and Outcome Orientation] - Take accountability for solution quality, security, reliability and production readiness, and proactively resolve technical issues and dependencies. [Co-create and Co-deliver with Stakeholders] - Work effectively with product managers, AI specialists, infrastructure teams, cybersecurity teams, vendors and business stakeholders to deliver integrated solutions. [Learning Agility and Adaptability] - Keep abreast of rapidly evolving AI, cloud, software engineering and DevSecOps technologies, and apply new approaches appropriately within the agency ICT environment. *Functional Competencies* [DevSecOps] - Secure and automate the development, deployment and operation of applications through CI/CD, security testing, Infrastructure as Code, container security, cloud-native controls, monitoring and security telemetry. [Backend Engineering] - Design and develop backend services, APIs and system integrations that connect AI capabilities with applications, platforms and data sources. [Cloud Application Engineering] - Build and deploy applications using cloud-native services, containers and runtime platforms, ensuring solutions are scalable, reliable and supportable across IaaS, PaaS and SaaS environments. [AI Application Engineering] - Operationalise approved AI models and services by integrating them into production-ready applications, workflows and systems. [Cloud Application Architecture] - Design secure and robust cloud application architectures and select appropriate services, integration patterns and deployment approaches based on functional and non-functional requirements. *Requirements*
• Degree in Computer Science, Software Engineering, or a related field, with at least 5 years of relevant experience in software engineering, application development, DevSecOps, cloud engineering or related technology roles.
• Strong hands-on experience developing backend applications, APIs and system integrations using modern programming languages and frameworks.
• Experience with cloud or application platforms, containerisation and deployment technologies.
• Experience building and operating CI/CD pipelines, source code control, automated testing and deployment automation.
• Good understanding of application security, identity and access management, secrets management and secure integration practices.
• Experience supporting production applications, including monitoring, troubleshooting, incident management and reliability improvements.
• Practical exposure to AI-enabled applications, Generative AI, LLM APIs, retrieval-augmented generation or similar AI technologies would be advantageous.
• Understanding of cybersecurity, privacy, data governance and Responsible AI considerations for enterprise applications.
• Relevant certifications in cloud, DevOps, software engineering or cybersecurity would be advantageous. Successful candidates will be offered a 1-year contract in the first instance.