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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 · 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 Job Requirements · 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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.