Lead AI Engineer

Job Purpose:

The Lead 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.
• Deployment success rate and operational stability

3.GenAI Strategy & Innovation

• Define and evolve GenAI strategy, roadmap, and ethical adoption. Engage senior stakeholders and secure sponsorship.

4.Model Development & Deployment

• Build, deploy and monitor generative models; integrate models into production platforms

with feedback loops.

• Model performance, scalability and reliability

5.Data Governance & Risk Management

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

6.Achievement of Staff Development Plan and Contribution to Training Others

• Lead a group of AI developers 2
• Play as a tech leader role to lead and guide the AI developers
• Provide training, coaching and mentoring to direct reports and others.
• Monitor staff performance, development plan, discipline and performance matters /issues.
• 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
• Leading the AI developers as a team leader