- Kuala Lumpur Federal Territory Malaysia
Working Location
Job Description
Responsibilities
Our client is a prestigious global professional services firm and a powerhouse in strategic consulting. Recognized as a world leader in digital transformation, they partner with the "who's who" of the corporate world-from Tier-1 banks to global Energy giants. They are currently investing heavily in their Malaysian hub, positioning it as a center of excellence for Artificial Intelligence within the APAC region.
As the Global AI Lead, you will be the bridge between cutting-edge innovation and industrial application. This isn't just a strategy role; it's a high-impact position where you will oversee the end-to-end production and deployment of AI solutions. You will work with Malaysia's largest enterprises in Banking, Financial Services, Oil & Gas, and FMCG, helping them navigate the complexities of AI adoption at a massive scale.
You will orchestrate the transition from experimental AI to industrial-scale implementation. Your responsibilities include:
Strategic Advisory: Act as the primary technical authority for C-suite clients, defining AI roadmaps that align with large-scale business objectives in the FSI, Energy, and FMCG sectors.
End-to-End Delivery: Lead the full development lifecycle-from requirement gathering and architecture design to the production and deployment of enterprise-scale AI solutions.
Technical Innovation: Spearhead the adoption of frontier technologies, including Agentic AI, RAG frameworks, and Custom LLMs, ensuring they are integrated into mature, high-volume data environments.
Team Leadership & Mentorship: Direct and inspire a multi-disciplinary team of data scientists and engineers, fostering a culture of excellence and continuous learning.
Operational Excellence: Establish robust MLOps and governance standards to ensure the scalability, security, and ethical deployment of AI models across various industries.
Stakeholder Orchestration: Navigate complex organizational structures to drive collaboration between business units, IT, and external partners.
Continuous Improvement: Manage the post-deployment phase by implementing feedback loops, performance monitoring, and iterative enhancements to maintain model accuracy and value.
Knowledge Transfer: Leverage your international experience to upskill local talent, bridging the gap between global best practices and the Malaysian market's unique needs.
You will lead a diverse, multi-cultural team of data scientists and engineers. The culture is collaborative, fast-paced, and intellectually stimulating. You will manage the entire lifecycle-from initial requirement gathering with C-suite stakeholders to design, development, testing, and continuous optimization. Your role is as much about mentorship and talent development as it is about technical excellence.
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