Senior Principal AI Architect Job Singapore area,Singapore,Software Development

We are seeking an experienced Senior Principal AI Architect to provide architecture leadership across multiple portfolios and strategic initiatives. This role will be responsible for defining and driving enterprise architecture decisions, partnering with client stakeholders, advancing engineering excellence, and leading large-scale modernization programs.

The role should also possess a strong AI architecture focus, with proven expertise in particularly around enterprise adoption of GenAI and agentic AI on platforms such as Alibaba Cloud/Qwen and comparable hyperscaler AI ecosystems.

Responsibilities

Own end-to-end architecture across Digital Banking, Payments and Corporate Banking platforms.
Lead solution design, architecture reviews, technical governance and pre-sales solutioning.
Drive modernization initiatives including application refactoring, framework upgrades and platform transformation.
Shape AI-enabled modernization and identify practical GenAI/agentic AI use cases across banking platforms, with appropriate architecture, security, data and governance controls.
Define and enforce engineering standards, coding practices and API design standards.
Provide technical leadership across onsite and offshore teams.
Review sizing, estimates, technical risks and delivery feasibility during ROM/SOW stages.
Engage directly with client architects, engineering managers and senior technology stakeholders.
Ability to connect AI opportunities to banking business outcomes and translate them into secure, scalable enterprise architectures, especially where Alibaba Cloud/Qwen or similar AI platforms are relevant
Ability to discuss real-world banking architecture challenges, resiliency patterns, scalability and modernization approaches.
Mentor architects, technical leads and senior developers

Skills Requirement

Bachelors degree in Engineering / Information Technology/Computer Science or related field
12-15 years of experience in Architecture with expertise in Banking domain with AI architecture
Domain Exposure:
Payments/Transaction Banking/Corporate Banking/Digital Banking/API Banking/Core Banking Platforms
Strong expertise in Java (Java 8/11/17+) and enterprise application development.
Deep knowledge of Spring Framework, Spring Boot, Spring Cloud, and microservices architecture.
Understanding of performance tuning, scalability, resiliency, and high-availability architectures
Exposure in GenAI and agentic AI architecture, including RAG, model integration/orchestration and AI-enabled engineering or modernization
Strong knowledge of security architecture, authentication, authorization, and API security best practices.
Experience in Agile, Scrum, and SAFe environments
Excellent communication, stakeholder management, and leadership skills.
Improved engineering standards, platform reliability, and operational efficiency.
Effective stakeholder engagement and alignment between Business and Technology objectives.

Mandatory Technical Skills

Core Java (Java 17+ preferred)
Spring Boot
Microservices Architecture
REST APIs and API Governance
Event-Driven Architecture
Kafka and/or RabbitMQ
Distributed Systems Design
Design Patterns
High Concurrency and Transaction Processing Systems
PostgreSQL / Oracle
CI/CD, Jenkins, Sonar Qube
Container and Cloud-Native Architecture
Test Driven Development (TDD)
Contract Testing (Pact / Wire Mock)
AI-ready architecture: API-first integration of AI models/services, enterprise data integration, security, observability and responsible AI controls

Preferred Skills

Kubernetes and Container Orchestration
GRPC
Apache Camel
Serverless Architecture
Performance Engineering
Application Modernization and JDK Upgrade Programs
ReactJS and Full-Stack Architecture Exposure