Technical Lead, AI Lending Systems (IT Application Support)

Alliance Bank Malaysia Berhad; Kuala Lumpur; On-site; MYR 180,000 - 260,000; Full time

Job summary

Alliance Bank Malaysia Berhad is seeking a Technical Lead to shape AI-enabled lending initiatives, drive end-to-end solution design, and ensure alignment with enterprise architecture across AOS and RLOS platforms.

You will collaborate with EA, GDT, ITPM, GCISM and platform teams to translate AI outputs into actionable workflows, manage cloud/API integrations, and oversee SDLC, release and production support from pilot to production.

Qualifications

• Experience in loan origination systems or lending domain.
• Experience with API integration and middleware/microservices.
• Cloud-based or distributed architectures.
• Exposure to AI/ML projects (implementation/integration level).
• Experience in SDLC, UAT, deployment and production support.
• Familiarity with regulatory/reporting systems (e.g. CCRIS).

Responsibilities

• Act as Technical Lead for AI-enabled lending initiatives and end-to-end solution design.
• Coordinate with EA, GDT, ITPM, GCISM, platform and network teams for architecture alignment.
• Own productionisation and BAU operations in cloud/hyperscale environments.
• Oversee SDLC activities: requirement analysis, SIT/UAT, deployment, post-deployment validation.
• Ensure data integrity, consistency and traceability across AOS and RLOS.
• Provide first-level technical and integration support.

Skills

API integration

Cloud architecture

AI/ML project exposure

SDLC / UAT / deployment

Regulatory reporting CCRIS

Tools

Cloud platforms

Job description

A. Technical Leadership & Solution Architecture

• Act as Technical Lead for AI-enabled lending initiatives
• Responsible for end-to-end solution design and integration architecture
• Ensure alignment with enterprise architecture standards and system design principles
• Work closely with EA, GDT, ITPM, GCISM, platform and network teams to:
  • Define and refine solution architecture
  • Support architecture discussions and technical alignment
• Serve as domain expert across the loan origination lifecycle, including:
  • Customer onboarding
  • Credit assessment and decisioning
  • Loan processing workflows
  • Regulatory reporting (e.g. CCRIS)
• Ensure consistent design and integration across AOS and RLOS platforms
• Translate AI outputs into practical system workflows and decision points

C. System Integration & Technical Enablement

• Manage and support the integration in a cloud/API-driven architecture, between:
  • AI platforms/agents
  • Loan origination systems – AOS & RLOS
  • External systems – for e.g. CTOS, CCRIS
• Ensure data integrity, consistency, and traceability

D. SDLC, Release & Change Management

• Support full Software Development Lifecycle (SDLC):
  • Requirement analysis and solution design
  • SIT, UAT, and regression testing
  • Production deployment and post-deployment validation
• Manage release and deployment activities in compliance with governance & change procedures:
  • Ensure complete documentation and stakeholders sign off
  • Obtain downtime approvals from business stakeholders and regulatory (if required)
  • Provide technical inputs for System Acceptance Checklist (SAC) completion
  • Presentation to Change Request Committee (CRC) for approvals
  • Execution of deployment and rollback plans

E. Take ownership of productionisation of AI capabilities, including:

• Transition from Pilot -> Production deployment
• Support BAU operations in a cloud/hyperscale environment:
  • Monitoring integrations and workflow executions
  • Managing incidents, defects, and service disruptions
  • Coordinating fixes/issue resolution with vendors, business stakeholders & GDT

F. Production support & operational activities

• Provide first-level technical and integration support
• Perform issue investigation, root cause analysis, and resolution coordination
• Support operational technical activities, such as:
  • Data correction / data patching
  • System parameter configuration
  • Extraction of Application / system logs for troubleshooting

REQUIREMENT

• Experience in loan origination systems or lending domain
  • API integration / middleware / microservices architecture
  • Cloud-based systems or distributed architecture
• Exposure to AI/ML projects (implementation/integration level)
• Experience in SDLC, UAT, deployment, and production support
• Familiarity with regulatory/reporting systems (e.g. CCRIS)