Lead AI Engineer

Boost Bank WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

The Lead, AI Engineer is a senior role responsible for designing, building, and deploying next-generation AI systems that enable Boost Bank’s transformation into an AI-driven digital bank.

This includes leading Generative AI (GenAI), Large Language Model (LLM), and Agentic AI initiatives across customer onboarding, transactional automation, risk intelligence, and product personalization.

The role requires both strategic vision and hands‑on technical depth — blending AI research, system architecture, and delivery leadership. The incumbent will collaborate with cross‑functional teams (Product, Risk, Operations, Technology) to embed intelligence and automation into every process, while ensuring responsible, compliant, and scalable AI deployment.

Day to Day Responsibilities

• Design and Deliver AI Systems

Architect and lead development of LLM‑powered and Agentic AI systems for transactional, onboarding, and customer service use cases. Develop and integrate agentic workflows for onboarding, payments, and customer support use cases. Optimize model performance, latency, and safety for real‑time transactional experiences.

Conduct applied research in Generative AI, fine‑tuning models for banking language, tone, and safety. Develop and evaluate RAG pipelines, embeddings, and prompt‑engineering strategies. Translate research outcomes into scalable prototypes and production features.

Partner with Data Engineering and DevOps teams to operationalize models using CI / CD pipelines, model registry, and drift monitoring. Optimize for latency, accuracy, and cost‑efficiency in real‑time applications. Ensure end‑to‑end observability, explainability, and compliance with internal AI governance frameworks.

Lead a small team of AI Scientists / Engineers, guiding them in GenAI and LLM experimentation. Work with Product, Risk, and Ops teams to identify high‑impact AI use cases aligned to business strategies. Represent Boost Bank’s AI capabilities in Axiata Group and industry working groups. Mentor data and tech colleagues to elevate AI literacy across the organization.

Implement Responsible AI controls, safety filters, audit logs, consent validation, and explainability. Document model design, assumptions, and evaluations for model approval. Ensure adherence to regulatory and ethical AI standards.

Need to Know (Knowledge & Skills)

Need to Be (Attributes & Competencies)

Job Requirements

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology, Product Management, and Quality Assurance

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