Manage and analyse business requirements into a solution design, managing user requirements workshops and formulation of an overall solution design, modelling transactions through the system to ensure that the business requirements are met.
Hands-on Techno-Functional role to analysis and propose solutions for business issues, technical strategical and tactical solutions, process changes and functional requirements.
Work with different technology teams across infrastructure, supports, and other divisions to deliver system solutions for the business.
Collaborate with stakeholders on their priorities, needs as well as system improvements.
Build a strong relationship and manage expectations with users and stake holders.
Requirement:
Experience working in the financial industry with relevant experience in system analysis or in core banking business within GenAI space
Previous experience on Agentic AI solution, GenAI and well equip to understand Agent Pattern, type and Model Context Protocol
Candidate must have fundamental understanding of model architecture, prompt engineering, and fine-tuning
Experience in evaluating and integrating LLMs such as LLaMA, DeepSeek, OpenAI, Gemini, etc., into business processes
Other good to have skill sets OpenShift, RAG, Agentic AI and necessary workflows required to build Gen AI capability
Design and implement scalable Gen AI architectures and solution using necessary tools
Strong team player with excellent communication & inter-personal skills.
Strong problem solver who can question and understand proposed solutions and business drivers.
Strong organizational and leadership skills
Large Language Model, RAG, LangChain, Langraph, MCP ,Python
