Deployed AI Engineer

Singapore Exchange Limited; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Singapore Exchange Limited is seeking a skilled AI use-case lead to own end-to-end delivery of AI initiatives for a designated business unit, from requirements through to production.

You will partner with business stakeholders and Technical Product Owner to define, prioritize and scope use case requirements, assess risk, implement human-in-the-loop controls for medium and high-risk use cases, and own post-deployment monitoring and adoption.

Responsibilities

• Own end-to-end delivery of AI initiatives for an assigned business unit, from requirements through to production
• Partner with business stakeholders and Technical Product Owner to define, prioritize and scope use case requirements
• Assess use case risk materiality and apply the required controls, including human-in-the-loop design for medium and high-risk use cases
• Own post-deployment monitoring and ongoing performance of delivered use cases
• Run user training and drive adoption within the business unit
• Own use case documentation, governance records, and measured outcomes (time saved, process improvement, adoption)
• Provide structured feedback to the Shared AI Services and Platform team on platform capabilities, product gaps, and reusable patterns

Job description

• Own delivery of AI use cases end to end for an assigned business unit, from requirements through to production
• Partner with business stakeholders and Technical Product Owner to define, prioritize and scope use case requirements
• Assess use case risk materiality and apply the required controls, including human-in-the-loop design for medium and high-risk use cases
• Own post-deployment monitoring and ongoing performance of delivered use cases
• Run user training and drive adoption within the business unit
• Own use case documentation, governance records, and measured outcomes (time saved, process improvement, adoption)
• Provide structured feedback to the Shared AI Services and Platform team on platform capabilities, product gaps, and reusable patterns to support continuous improvement and benefit broader AI use cases