Randstad Malaysia Hiring! Full Time Head of Engineering – Modern Stack - AI Integration in Federal Territory - Ricebowl

About The Role

We are seeking a versatile and strategic Head of Engineering to lead software, data, and platform development across multiple business verticals. This is a unique, cross-cutting engineering leadership role designed for a hands-on technical strategist who can build scalable web, mobile, and enterprise platforms while driving our core Data & AI/ML architecture.

If you thrive in high-impact environments, possess a deep modern full-stack foundation, and can seamlessly bridge the gap between enterprise software development and advanced data/AI solutions, this role is for you.

Key Responsibilities

• Engineering Strategy & Delivery: Drive end-to-end technical execution across diverse verticals, ensuring scalability, performance, and security for web, mobile, and enterprise applications.
• Architecture & Infrastructure: Architect and optimize multi-cloud infrastructure on AWS and/or Azure, enforcing modern full-stack engineering standards and robust microservices/API patterns.
• Data & AI Leadership: Lead the integration of modern Data Engineering (pipelines, data platforms, analytics) and AI/ML capabilities (predictive models, GenAI/LLM integrations) across key product offerings.
• Cross-Vertical Collaboration: Partner closely with executive stakeholders, product heads, and cross-functional teams to translate complex business needs into technical strategy and scalable software products.
• Team & Talent Management: Scale, mentor, and lead high-performing, cross-functional engineering teams; foster a culture of technical excellence, continuous learning, and fast iteration.
  
  

Key Requirements & Qualifications

Must-Have Skillset

• Technical Breadth: Proven background as a Full-Stack Software Engineer with strong mastery of modern web frameworks, mobile development ecosystems (iOS/Android or cross-platform), and complex enterprise applications.
• Cloud Infrastructure: Deep hands-on experience designing, deploying, and managing modern cloud architectures on AWS and/or Azure.
• Data & AI/ML Expertise: Demonstrated experience building modern data architectures (data pipelines, platforms, big data infrastructure) alongside practical experience deploying AI/ML/GenAI solutions into production environments.
• Leadership & Scale: Proven experience managing senior engineers, managers, and cross-functional technical teams driving cross-vertical or multi-product delivery.
  
  

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
• Experience architecting multi-tenant, enterprise-grade platforms.
• Hands-on knowledge of modern data technologies (e.g., Snowflake, Databricks, Spark, Kafka) and modern AI frameworks.
  
  

What We Offer

• Modern Tech Stack: Work with state-of-the-art cloud, full-stack, data, and machine learning tools without legacy constraints.
• Comprehensive benefits, flexible working culture, and professional growth opportunities.