AI Engineer (Senior)

Kenanga Group; Kuala Lumpur; On-site; MYR 150,000 - 210,000; Full time

Job summary

Kenanga Group in Kuala Lumpur is seeking an AI Engineer to design, develop, deploy, and continuously improve GenAI solutions that drive business impact and efficiency. You will work across AI/GenAI capabilities, ensuring governance and regulatory alignment while collaborating with platform teams.

Ideal candidates have hands-on AI/ML delivery experience, proficiency with MLOps, and a strong foundation in data governance and risk management.

Qualifications

• Hands-on experience delivering AI/ML solutions from ideation to production.
• Experience in platform administration and governance.
• Ability to work with senior stakeholders and align with enterprise standards.

Responsibilities

• Design and deliver AI/GenAI solutions including NLP, recommendation systems, and multi-modal models.
• Implement CI/CD, containerization, Kubernetes, and model versioning aligned to enterprise standards.
• Define and evolve GenAI strategy and roadmap; engage stakeholders and secure sponsorship.
• Build, deploy and monitor generative models; integrate models into production platforms with feedback loops.
• Ensure AI lifecycle governance, privacy protection, and regulatory alignment.
• Attend relevant trainings and document solutions; share best practices and upskill on emerging AI technologies.

Skills

AI/GenAI solutions

NLP

Recommendation systems

Multi-modal models

Education

Degree in Computer Science/AI/Data Science

Tools

CI/CD

Kubernetes

Containerization

Job description

The AI Engineer plays a key role in embedding Generative AI capabilities into the Bank’s digital and technology platforms. This role is responsible for the design, development, deployment, and continuous improvement of AI and GenAI solutions that drive business impact, operational efficiency, and innovation while ensuring alignment with enterprise architecture, data governance,

and regulatory requirements.

Key Responsibilities:

1.AI Solution Engineering

• Design and deliver AI/GenAI solutions including NLP, recommendation systems, and multi-modal models.

2.MLOps & Platform Integration

• Implement CI/CD, containerization, Kubernetes, and model versioning aligned to enterprise standards.
• Define and evolve GenAI strategy, roadmap, and ethical adoption. Engage senior stakeholders and secure sponsorship.
• Build, deploy and monitor generative models; integrate models into production platforms with feedback loops

5.Data Governance & Risk Management

• Ensure AI lifecycle governance, privacy protection, and regulatory alignment.

6.Self- Development

• Attend relevant trainings and compulsory courses.
• Document solutions, share best practices, and continuously upskill on emerging AI technologies

Qualifications, Experience and Knowledge/Skills/Attributes

• Degree in Computer Science, AI, Machine Learning, Data Science or related field
• 4-8 years on platform administration field
• Hands-on experience delivering AI / ML solutions from ideation to production