Application Development Manager- Gen AI project;

As an Application Development Manager for Generative Artificial Intelligence based in Hong Kong, you will be entrusted with driving transformative projects that harness the power of advanced AI technologies.

• Lead the end-to-end delivery of generative AI projects, collaborating closely with diverse teams to ensure successful outcomes and meaningful business transformation.
• Utilise your technical expertise in prompt engineering, model fine-tuning, and solution optimisation to deliver scalable, efficient, and reliable AI-driven applications.
• Benefit from flexible working arrangements and a culture that prioritises knowledge sharing, ongoing training opportunities, and personal development within a forward-thinking environment.
• Oversee the implementation of generative artificial intelligence use cases, including natural language processing and computer vision, by collaborating with cross-functional teams to define objectives and execute comprehensive project plans.
• Provide expert guidance on designing, developing, and deploying generative AI solutions, including prompt engineering strategies that influence foundation model behaviour and output quality.
• Conduct thorough research to identify suitable foundation models for fine-tuning, ensuring optimal performance and alignment with business needs.
• Optimise generative AI models for scalability, speed, and resource efficiency by applying up-to-date industry best practices and technological advancements.
• Take responsibility for all aspects of project management such as planning, resource allocation, timeline tracking, risk assessment, issue resolution, and milestone monitoring.
• Communicate effectively with stakeholders at all levels by providing regular updates on project status, gathering requirements, defining solution architectures, and ensuring smooth system integration.
• Develop robust testing strategies to guarantee the reliability, scalability, and performance of implemented solutions while proactively addressing any issues or bottlenecks encountered during deployment.
• Create detailed technical documentation, user guides, and training materials to support knowledge transfer and empower end-users to maximise the benefits of new solutions.
• Facilitate training sessions and workshops aimed at educating users on functionalities and advantages of implemented generative AI technologies.
• Continuously seek opportunities for process improvement by contributing to the development of best practices, standards, frameworks, automation initiatives, and optimisation efforts.