Application / Software Systems Analysis – GenAI / Agentic AI / LLM

Client: Bank Sector Client:Primary Focus: Application / Software Systems Analysis – GenAISecondary Exposure: Technology Solution Architecture / Enterprise IntegrationDomain/Project: Global Markets, Capital Markets Banking Technology, and Market Risk Technology.Role OverviewWe are looking for an experienced System Analyst with Generative AI (GenAI) and global markets / capital markets banking technology experience to support the analysis, solution design and delivery of enterprise GenAI and Agentic AI solutions.This is a techno-functional role sitting between business users, technology teams and solution/architecture teams.The successful candidate will analyse business requirements, facilitate requirements workshops, translate business needs into functional and technical solution designs, and support the implementation of GenAI / Large Language Model (LLM) solutions within an enterprise banking environment.The role requires a combination of:Systems AnalysisBanking Technology / Banking ProcessesGenAI / Large Language ModelsAgentic AI / AI AgentsSolution DesignStakeholder ManagementEnterprise Technology IntegrationKey ResponsibilitiesGather, analyse and translate business requirements into functional and technical solution designs.Conduct user requirements workshops with business users, technology teams and other stakeholders.Understand existing business processes, system workflows and transaction flows and determine how proposed solutions can meet business requirements.Perform a hands-on techno-functional System Analyst role, analysing business and system issues and recommending practical technical, functional and process solutions.Translate business requirements into:Functional requirementsSystem requirementsSolution designsProcess changesGenAI / AI use casesSupport the design and implementation of Generative AI (GenAI) and Agentic AI solutions within enterprise banking environments.Work with technology, infrastructure, application support, architecture and other teams to deliver end-to-end system solutions.Evaluate how Large Language Models (LLMs) and GenAI technologies can be integrated into existing business processes and applications.Analyse and understand Agentic AI architectures, including agent patterns, agent workflows and interactions between AI agents and enterprise systems.Support solution design involving:Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)Agentic AI / AI AgentsLangChainLangGraphModel Context Protocol (MCP)Prompt EngineeringLLM Model IntegrationAssess and evaluate LLMs such as OpenAI, Gemini, Llama, DeepSeek or similar models for enterprise use cases.Collaborate with technical architects and engineering teams to ensure solutions align with the organisation's technical architecture, system standards and enterprise requirements.Participate in the design of scalable enterprise GenAI architectures and solutions.Collaborate with stakeholders to understand priorities, business needs, system improvements and technology requirements.Build strong relationships with business users and technology stakeholders and manage expectations throughout the solution delivery lifecycle.RequirementsEducation & ExperienceBachelor's Degree in Computer Science, Information Technology, Information Systems, Engineering or a related discipline.6+ years of relevant experience in Systems Analysis, Technology Delivery, Business Systems Analysis or related technology roles.Experience working within Banking, Financial Services or Financial Institution technology environments is strongly preferred.Good understanding of banking processes, banking systems and enterprise technology environments.Systems Analysis & Solution DesignStrong experience in:System Analysis / Systems AnalysisBusiness Requirements AnalysisFunctional RequirementsRequirements GatheringRequirements WorkshopsSolution DesignFunctional Solution DesignBusiness Process AnalysisSystem Process AnalysisStakeholder ManagementEnterprise SystemsTechnology DeliveryCandidates should be comfortable working between business users and technical teams, translating business requirements into workable technology solutions.Generative AI / LLM KnowledgeGood understanding and practical exposure to:Generative AI / GenAILarge Language Models (LLMs)Agentic AIAI AgentsAgent PatternsAgent WorkflowsRetrieval-Augmented Generation (RAG)LangChainLangGraphModel Context Protocol (MCP)Prompt EngineeringLLM ArchitectureModel EvaluationModel IntegrationContext ManagementLLM / AI WorkflowsCandidates should understand how these technologies can be integrated into enterprise applications and business processes.LLM / Model ExperienceExperience evaluating, integrating or working with LLMs such as:OpenAIGeminiLlamaDeepSeekOther commercial or open-weight Large Language ModelsFundamental understanding of:LLM / model architecturePrompt EngineeringModel selection and evaluationModel integrationFine-tuning conceptsDeep AI research or model-development experience is not required, but candidates should be sufficiently technical to understand GenAI solution designs and work effectively with engineering and architecture teams.Technical SkillsExposure to the following would be advantageous:PythonLangChainLangGraphRAGModel Context Protocol (MCP)Agentic AI frameworksEnterprise GenAI platformsOpenShiftContainerised application environmentsGenAI workflow / orchestration technologiesKey CompetenciesStrong analytical and problem-solving skills.Ability to question proposed solutions and understand the underlying business drivers.Strong communication and stakeholder management skills.Ability to communicate between business and technical teams.Strong organisational and coordination skills.Ability to work across multiple technology teams including application, infrastructure, architecture and support teams.Strong team player with good interpersonal skills.Ability to operate within a complex enterprise technology environment.Key Domain / Technical Skills1. Systems Analysis, Solution Design & Banking Technology2. Generative AI, Large Language Models, RAG, Agentic AI, LangChain, LangGraph & MCP3. Python, GenAI Architecture & Enterprise Technology IntegrationSystem Analyst,Systems Analyst,GenAI System Analyst,AI System Analyst,Generative AI,GenAI,Large Language Models,LLM,Agentic AI,AI Agents,Agent Patterns,Agent Workflows,RAG,Retrieval-Augmented Generation,LangChain,LangGraph,Model Context Protocol,MCP,Prompt Engineering,LLM Architecture,LLM Integration,Model Evaluation,OpenAI,Gemini,Llama,DeepSeek,Python,OpenShift,Solution Design,System Analysis,Requirements Analysis,Functional Requirements,Business Requirements,Requirements Gathering,Stakeholder Management,Banking Technology,Core Banking,Enterprise AI==============About Us: Build Your Career in Banking and Technology — Contract & Permanent Roles AvailableD L Resources provides Technology Managed Services and outsourced staffing for banks, multi-national corporations MNCs, technology firms, and corporates. We also offer recruitment, direct placement, and temporary contract jobs across a wide range of roles—covering both technology and business functions.Interested Candidate May Also Reach Out Directly Via Mobile/Whatsapp +65 8833 0192 to our recruiter Edwin (EA License No. 24C2333EA Personnel No. R24123520)