Forward Deployed (AI) Engineering Lead – Global Broking, APAC

About the role

The APAC AI Lead Engineer for Global Broking is a business-aligned technology leadership role that identifies, designs and delivers AI-enabled productivity improvements for Global Broking desks across APAC. It works directly with brokers, desk heads and business managers to automate workflows, reduce manual effort and speed up decision-making. The role reports primarily to APAC Global Broking leadership and secondarily to the Global AI Lab / Technology leadership.

Key responsibilities

• Partner with APAC brokers and desk heads to identify high-value automation and workflow improvement opportunities, and maintain a prioritised AI opportunity pipeline.
• Design, prototype and deliver AI tools, agents, applications and workflow automations using approved TP ICAP platforms, covering broker preparation, market colour aggregation, document automation, research support, data extraction and cross-system information retrieval.
• Lead delivery of AI use cases from prototyping to production deployment and adoption, defining business outcomes and benefits measures.
• Ensure solutions comply with technology, security, risk and compliance requirements, and support risk assessments, architectural reviews and production approvals.
• Act as the main point of coordination between business desks, the AI Lab, Technology and support functions, and represent APAC Global Broking in global AI forums.

Required profile

• Proven experience in software engineering, AI engineering, automation, data engineering or technology delivery in financial services or a regulated environment.
• Experience designing solutions with large language models, AI agents, workflow automation, RAG and API integrations.
• Ability to work directly with front-office users and understand technology governance, architecture review and production deployment.
• Excellent communication skills and a commercially focused, collaborative approach in a regulated environment.

Required skills

• Python, APIs, cloud platforms, source control, CI/CD and structured documentation.
• Advantageous: AWS Bedrock, AWS Quick, Microsoft Copilot / M365, Power Platform, Teams, SharePoint, data extraction tools.
• Advantageous: knowledge of interdealer broking, capital markets or front-office operating models.