Vice President, GT-DPP, Shared Service Interface MY (Senior Software Engineer - AI Solutions)
Senior software engineer (VP title) at CIMB building enterprise-grade AI solutions for banking domains — conversational AI, RAG platforms, agentic AI, intelligent document processing, and integrations. Core stack: Python (Java/Node.js desirable), React/Vue/Angular, SQL/NoSQL/vector databases, Docker/Kubernetes and CI/CD on cloud platforms.
- Compensation
- Not disclosed
- Location
- Malaysia
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor's Degree in Computer Science / Information Technology or equivalent
- Minimum 5 years of professional software engineering experience, including delivery and support of production applications
- At least 2 years hands-on experience with Generative AI, RAG, machine learning or intelligent automation
- Strong hands-on proficiency in Python
- Experience with modern web development using React, Vue.js or Angular
- Strong understanding of application architecture, OOP, design patterns, clean code, RESTful APIs and microservices
- Hands-on experience with SQL, NoSQL and vector databases, Git-based development, automated testing, Docker, Kubernetes, CI/CD and Agile delivery
Nice to have
- Delivery of multiple production-grade AI applications
- Experience with Java and Node.js for enterprise integration
- Practical experience with RAG pipelines, AI agents, LLM orchestration frameworks, LLM evaluation, observability, security controls and production troubleshooting
- Relevant certifications in Generative AI/Agentic AI, cloud platforms (Alibaba Cloud, Azure or AWS), Kubernetes, DevSecOps, secure software development, or data engineering
Full description
Job Purpose
We are looking for an experienced Senior Software Engineer to design, develop, and deliver enterprise-grade AI solutions for different Banking Domains. You will work on a diverse range of innovative solutions including conversational AI, Retrieval-Augmented Generation (RAG) platforms, AI agents/Agentic AI, intelligent document processing, workflow automation, knowledge management systems, and enterprise integrations. Working closely with Solution Architects, and Technical Leads. You will build scalable, secure, and production-ready applications that solve real business challenges while leveraging modern cloud and AI technologies.
Job Description
- Translate approved business use cases and solution designs into secure, scalable and maintainable enterprise applications.
- Develop backend services, microservices, RESTful APIs and, where required, responsive web interfaces using the approved technology stack.
- Build and enhance conversational AI, RAG, semantic search, AI-agent, intelligent document processing, knowledge management and workflow automation capabilities.
Integration, data and security
- Integrate applications with enterprise data services, enterprise databases, vector stores, model platforms, event or messaging services, identity platforms and third-party APIs.
- Implement enterprise controls for authentication and authorisation, secrets, encryption, sensitive-data handling, audit logging, AI guardrails and secure software development.
Engineering quality and operations
- Create automated tests and AI evaluation checks; monitor quality, performance, latency, availability, safety and cost-related engineering indicators.
- Package and deploy applications through approved CI/CD pipelines, containers and Kubernetes-based environments across development, testing and production.
- Troubleshoot defects and production incidents, complete root-cause analysis and implement durable corrective actions within agreed service and delivery timelines.
Collaboration and continuous improvement
- Participate in architecture and technical-design reviews, document solutions, review code and contribute to reusable engineering standards and components.
- Work closely with Product Owners, Solution Architects, Data Scientists, Cybersecurity, Data Governance, DevOps, Infrastructure, UI/UX, business teams and delivery partners; evaluate emerging technologies where they provide measurable business value.
Job Specification
Qualifications
- (Basic Degree/Diploma etc) Bachelor’s Degree in Computer Science / Information Technology or equivalent.
- Professional Qualification and/or Regulatory, Licensing requirements Relevant certification in Generative AI/Agentic AI , cloud platforms (Alibaba Cloud, Azure or AWS), Kubernetes, DevSecOps, secure software development, data engineering is advantageous.