- Islandwide (Singapore) Singapore

工作地点
职位描述
岗位职责
Dear Applicant,
If you or someone you know is interested, please send the CV directly to ************* (most preferred, as I may overlook some CVs due to the high volume).
Please note that visa sponsorship is not available at this time.
Key Responsibilities
• Analyse business requirements and translate them into solution designs, facilitating user requirement workshops and modelling end-to-end system transactions to ensure business needs are met.
• Act as a hands-on techno-functional analyst to identify business issues and propose technical, strategic, and tactical solutions, process improvements, and functional requirements.
• Analyse, design, and implement scalable Generative AI (GenAI) solutions and architectures to support business needs.
• Evaluate and integrate Large Language Models (LLMs) into business processes and enterprise applications.
• Analyse and propose solutions involving Agentic AI, including agent patterns, workflows, and Model Context Protocol (MCP).
• Collaborate with infrastructure, application support, engineering, and other technology teams to deliver end-to-end system solutions.
• Engage business stakeholders to understand priorities, gather requirements, identify improvement opportunities, and recommend appropriate solutions.
• Build strong relationships with users and stakeholders, manage expectations, and ensure alignment between business requirements and technical delivery.
• Assess proposed solutions critically to ensure they address business drivers, technical constraints, and operational needs.
• Work with relevant technology teams to support the integration of GenAI capabilities into existing systems and business processes.
Key Requirements
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 6 years of relevant experience, preferably within financial institutions or banking technology.
• Experience in the financial industry, with a background in system analysis or core banking business processes, ideally involving GenAI solutions.
• Hands-on experience with Generative AI and Agentic AI solutions, including agent patterns, types, workflows, and Model Context Protocol (MCP).
• Fundamental understanding of LLM architecture, prompt engineering, and model fine-tuning.
• Experience evaluating and integrating LLMs such as LLaMA, DeepSeek, OpenAI, Gemini, or equivalent into business processes.
• Experience designing and implementing scalable GenAI architectures and solutions using appropriate tools and frameworks.
• Strong understanding of banking processes and functions.
• Technical knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, LangGraph, and MCP.
• Proficiency in Python.
• Strong problem-solving and analytical skills, with the ability to challenge proposed solutions and understand underlying business drivers.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively across business and technology teams.
• Strong organisational, stakeholder management, and leadership skills.
Nice to Have
• Experience with OpenShift.
• Practical experience implementing RAG, Agentic AI solutions, and the workflows required to build GenAI capabilities.
重要安全守则
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