Vice President, GT-DPP, Shared Service Interface MY (Senior Software Engineer - AI Solutions)

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. Jo Description * Enterprise AI solution delivery • 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. Relevant Work Experience • Minimum 5 years of professional software engineering experience, including delivery and support of production applications. • At least 2 years of hands-on experience with Generative AI, RAG, machine learning or intelligent automation, delivery of at least multiple production-grade AI application is highly desirable. • Strong hands-on proficiency in Python. Experience with Java and Node.js for enterprise integration is desirable. • Experience with modern web development using React, Vue.js or Angular. • Strong understanding of application architecture, object-oriented programming, design patterns, clean code, RESTful APIs and microservices. • Hands-on experience with SQL, NoSQL and vector databases, Git-based development, automated testing, Docker, Kubernetes or containerised development, CI/CD and Agile delivery. • Practical experience with RAG pipelines, AI agents, LLM orchestration frameworks, LLM evaluation, observability, security controls and production troubleshooting is highly desirable.