Deployed AI Engineer
Indeed|SGX|Singapore|19 Aug 2026
JOB DESCRIPTION
Company: Singapore Exchange
Location:
Singapore, SG
#job-location.job-location-inline { display: inline; }
Unit: Technology
Job Type: Permanent (HC)
Requisition ID: 3472
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Job Summary
SGX Group operates Singapore's securities and derivatives exchange. The Deployed AI Engineer sits within the AI & Automation Engineering team and is embedded in a business unit, responsible for delivering AI use cases that address that unit's needs. Working closely with business stakeholders, this role translates business problems into technical solutions using SGX's shared AI services and platforms. This is a Singapore-based role.
Job Responsibilities
Location:
Singapore, SG
#job-location.job-location-inline { display: inline; }
Unit: Technology
Job Type: Permanent (HC)
Requisition ID: 3472
.buttontexte60ca7b21e7e8455 a{ border: 1px solid transparent; } .buttontexte60ca7b21e7e8455 a: focus{ border: 1px dashed #0b236b !important; outline: none !important; }
Job Summary
SGX Group operates Singapore's securities and derivatives exchange. The Deployed AI Engineer sits within the AI & Automation Engineering team and is embedded in a business unit, responsible for delivering AI use cases that address that unit's needs. Working closely with business stakeholders, this role translates business problems into technical solutions using SGX's shared AI services and platforms. This is a Singapore-based role.
Job Responsibilities
- 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
- Proven software engineering experience in Python, REST APIs, cloud services, and modern integration patterns, with the ability to build and ship production-grade applications
- Hands-on experience delivering solutions with LLMs and RAG pipelines
- Proven ability to translate business problems into technical solutions and to agree scope with non-technical stakeholders
- Experience conducting risk assessments and applying governance frameworks in a regulated environment
- Track record of delivering technical work embedded in a business-facing team
- Experience delivering in a specific business domain, ideally capital markets