The posting
About the Role
Our client, a leading global financial services organisation, is looking for a hands-on APAC AI Lead Engineer to drive AI-powered innovation and productivity improvements across its Global Broking business.
This is a business-facing technology role where you will work directly with brokers, trading desks and senior stakeholders to develop practical AI solutions, automate workflows and improve operational efficiency across APAC.
Key Responsibilities
- Design, develop and deploy AI-powered applications, intelligent agents and workflow automation solutions.
- Build solutions leveraging Generative AI, LLMs, RAG, AI agents and API integrations.
- Partner with brokers and desk heads to identify opportunities for automation, information retrieval and productivity improvements.
- Develop AI tools supporting market information aggregation, research, document processing and front-office workflows.
- Develop Voice AI and surveillance solutions, including cleaning, transcribing and translating voice recordings using multilingual semantic analysis and translation technologies.
- Explore Speech-to-Speech AI, speech recognition and emerging voice-based AI technologies to enhance front-office workflows.
- Build and enhance Voice Surveillance systems using Automatic Speech Recognition (ASR) models such as Whisper and AWS Transcribe, supporting classification, predictive analytics and compliance monitoring.
- Lead AI initiatives from proof of concept through to production deployment and adoption.
- Collaborate with global AI engineering, technology, architecture, risk and compliance teams to ensure secure and scalable delivery.
- Drive AI adoption across APAC and deliver measurable business outcomes.
Skills & Experience
- Strong hands-on experience in AI engineering, software development or technology delivery, preferably within financial services.
- Proven experience building and deploying LLM-based applications, AI agents, RAG and workflow automation solutions.
- Experience with Voice AI, Speech-to-Text, ASR, multilingual NLP, speech analytics or voice surveillance technologies.
- Proficiency in Python, APIs, cloud platforms, Git and CI/CD.
- Familiarity with Whisper, AWS Transcribe, AWS Bedrock, AWS Quick, Microsoft Copilot, Power Platform or similar AI platforms would be advantageous.
- Understanding of enterprise architecture, security, governance and production deployment.
- Ability to engage directly with front-office stakeholders and translate business needs into practical technical solutions.
- Exposure to capital markets, trading environments, communications surveillance or interdealer broking would be an advantage.
- Strong communication, problem-solving and stakeholder management skills.
Ideal Background
AI Engineering Lead | Applied AI Engineer | Tech Lead | Forward Deployed Engineer | AI Solutions Architect | Voice AI Engineer | FinTech Engineering Lead
Why Join?
An opportunity to lead high-impact AI initiatives, work directly with front-office business leaders and shape AI adoption across a global capital markets organisation.
Interested? Share your resume with [email protected] for further discussion.



