GenAI Systems Analyst - FinTech AI Solutions

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD. invites a senior business-technology analyst to shape GenAI solutions for financial services in Singapore.

You will translate complex requirements into scalable architectures, lead workshops, and collaborate across infrastructure, engineering, and operations to deliver end-to-end outcomes. You will apply expertise in LLMs, RAG, LangChain, and MCP, assess models like LLaMA, OpenAI, Gemini, and design implementable GenAI architectures while ensuring strong

Qualifications

• 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.

Responsibilities

• Analyse business requirements and translate them into GenAI solution designs.
• 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.

Skills

Python

GenAI hands-on

Agentic AI

LLM architecture

Prompt engineering

Model fine-tuning

RAG

LangChain

MCP

Banking domain knowledge

Leadership & Stakeholder management

Education

Bachelor's degree in Computer Science, Information Technology, or a related field

Tools

OpenShift

Job description

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD. invites a senior business-technology analyst to shape GenAI solutions for financial services in Singapore.

You will translate complex requirements into scalable architectures, lead workshops, and collaborate across infrastructure, engineering, and operations to deliver end-to-end outcomes. You will apply expertise in LLMs, RAG, LangChain, and MCP, assess models like LLaMA, OpenAI, Gemini, and design implementable GenAI architectures while ensuring strong