AI Lead

about the company. A well-established international professional services enterprise recognized for providing premier advisory and corporate assurance solutions across diverse global markets. The organization places strong emphasis on continuous technological modernization, actively expanding its digital and analytical capabilities to enhance service delivery and client outcomes.

about the job. An exceptional opportunity has arisen for an AI Engineering Manager to drive the development and deployment of enterprise-grade intelligent systems within a collaborative technical environment.

• Lead and mentor a team of technical specialists while remaining hands-on with system architecture, establishing coding benchmarks, and guiding robust software design.
• Direct the end-to-end delivery of advanced generative AI solutions, autonomous agent architectures, and custom predictive models integrated into core enterprise systems.
• Establish rigorous model evaluation standards, human-in-the-loop validation controls, and governance frameworks to ensure data protection and responsible technology deployment.
• Architect reliable data pipelines and application programming interfaces that guarantee traceable data lineage and smooth automated platform integration.
• Collaborate closely with business sponsors to clarify functional requirements, communicate technical capabilities, and manage post-launch operational support.

skills and experience required. A successful candidate brings proven engineering leadership capabilities alongside substantial hands-on expertise in deploying machine learning systems into production.

• Degree in computer science, data science, statistics, mathematics, or a related quantitative field.
• Substantial background in developing and maintaining machine learning systems in production environments, including technical lead or people leadership experience.
• Practical, hands-on experience designing and operationalizing agentic workflows, large language model implementations, and structured retrieval pipelines.
• Strong technical proficiency with Python, SQL, modern machine learning frameworks, and agent orchestration libraries.
• Familiarity with vector search technologies, systematic model evaluation methods, cloud-native AI platforms, and automated delivery pipelines.

Please click on the 'apply' button to apply online. For more information, please reach out to Amir Hamzah. (EA: 94C3609 / R1984348)