SNS Network (M) Hiring! Full Time AI Platform - Applied AI Engineering Lead in Perak - Ricebowl

Role Overview:

Provides technical and strategic leadership for the organization’s AI platform and practices. This role defines the AI operating model, guides platform architecture, and ensures the scalable, secure, and production-ready delivery of AI systems aligned with business objectives.Acts as a bridge between business stakeholders, AI engineering, infrastructure, and data teams, enabling enterprise-wide AI adoption while ensuring strong governance, reliability, and value realization.

Responsibilities:

• Define the enterprise AI vision and roadmap aligned with long-term business priorities and technology strategy.
• Identify and prioritize high-impact AI use cases, focusing on agentic workflows, predictive analytics, and personalization.
• Establish architectural standards and technical guidelines for scalable, high-performance AI platforms and solutions.
• Advocate for and drive AI adoption across all organizational departments and business units.
• Report progress and key performance metrics to executive management to ensure transparency on AI ROI and milestones.
• Facilitate cross-functional collaboration between product, engineering, and business leaders to align technical output with user needs.
• Oversee the architecture and management of private GPU clusters to ensure high availability for model training and inference.
• Define the long-term hardware roadmap and procurement strategy to balance compute power with organizational growth.
• Set and enforce rigorous standards for coding, deployment, research, and engineering excellence.
• Own the AI intake and assessment process to ensure initiatives meet commercial viability and strategic fit.
• Oversee the development of production-ready pipelines to ensure seamless transition from R&D to deployment.
• Ensure AI systems are architected for maximum security, maintainability, and global scalability.
• Maintain a competitive edge by tracking AI advancements and evaluating emerging tools and frameworks.
• Implement responsible AI governance, focusing on transparency, explainability, auditability, and regulatory compliance.
• Manage the balance between rapid innovation and AI safety protocols to protect the brand and its users.
• Lead and scale multidisciplinary teams across engineering, data, design, and product to ensure operational maturity.
• Maintain a consistent physical presence across different offices, traveling between Ipoh and PJ to provide on-site leadership and team alignment.
• Perform any ad-hoc tasks which may be assigned from time to time

Qualifications & Skills:

Education:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related fields.

Experience:

• Proven leadership in managing technical teams
• Proven experience delivering AI or machine learning systems at enterprise scale, from concept to production.
• Demonstrated background in AI platform, MLOps, or large-scale AI system architecture.
• Experience in a technical leadership, principal, or lead engineering role with cross-functional responsibility.
• Strong exposure to Agile or iterative delivery environments.

Technical Expertise:

• Deep understanding of AI and machine learning concepts, including Generative AI and modern AI architectures.
• Hands-on experience with AI model lifecycle management, including training, deployment, monitoring, and optimization.
• Solid experience with containerized AI workloads using Docker and Kubernetes.
• Familiarity with MLOps practices such as CI/CD for AI, model versioning, and observability.
• Experience with major cloud or hybrid platforms is an advantage.

Certifications:

• CKA or CKAD certification is a strong advantage.
• NVIDIA Professional / Deep Learning Institute (DLI) certification is an added advantage

Applicants must be willing to work in Ipoh, Perak.

Benefits:

• KPI rewards
• Employee Shares Option Scheme (ESOS)
• EPF, SOCSO &EIS
• Overtime Claim
• Annual Leave/ Medical Leave/ Wedding Leave, etc
• Medical Claim
• Staff Purchase Scheme
• Product Training: Apple/ Intel/ Microsoft, etc
• Oversea Trip: Asia, America, Australia, Europe
• Salary Review- Twice per year

Benefits:

• Opportunities for promotion
• Parental leave
• Professional development

Work Location: In person