End-to-End AI Engineer: Deploy & Scale Market Solutions

SGX Group; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

SGX Group in Singapore seeks an AI Engineer embedded in the AI & Automation Engineering team to deliver AI use cases end-to-end for a business unit, partnering with stakeholders to translate problems into scalable technical solutions.

You will own post-deployment monitoring, drive adoption, train users, document governance, and provide feedback to platform teams to close gaps and improve reuse.

Qualifications

• Proven software engineering experience in Python, REST APIs, and cloud services.
• Hands-on experience with LLMs and RAG pipelines.
• Ability to translate business problems into technical solutions.
• Experience conducting risk assessments in regulated environments.
• Experience delivering in a business-facing team.

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

Skills

Python

REST APIs

Cloud services

LLMs

RAG pipelines

Stakeholder communication

Risk governance

Capital markets experience

Job description

SGX Group in Singapore seeks an AI Engineer embedded in the AI & Automation Engineering team to deliver AI use cases end-to-end for a business unit, partnering with stakeholders to translate problems into scalable technical solutions.

You will own post-deployment monitoring, drive adoption, train users, document governance, and provide feedback to platform teams to close gaps and improve reuse.