- Singapore
Full Time Application - Software Systems Analysis – GenAI - Agentic AI - LLM Jobs, Salary up to SGD 9,000 in D L Resources Pte Ltd - Maukerja
Application - Software Systems Analysis – GenAI - Agentic AI - LLM
D L Resources Pte Ltd
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Job Description
Responsibilities
Client: Bank Sector Client:
Primary Focus: Application / Software Systems Analysis – GenAI
Secondary Exposure: Technology Solution Architecture / Enterprise Integration
Domain/Project: Global Markets, Capital Markets Banking Technology, and Market Risk Technology.
Role Overview
We 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 Analysis
Banking Technology / Banking Processes
GenAI / Large Language Models
Agentic AI / AI Agents
Solution Design
Stakeholder Management
Enterprise Technology Integration
Key Responsibilities
Gather, 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 requirements
System requirements
Solution designs
Process changes
GenAI / AI use cases
Support 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 Agents
LangChain
LangGraph
Model Context Protocol (MCP)
Prompt Engineering
LLM Model Integration
Assess 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.
Requirements
Education & Experience
Bachelor'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 Design
Strong experience in:
System Analysis / Systems Analysis
Business Requirements Analysis
Functional Requirements
Requirements Gathering
Requirements Workshops
Solution Design
Functional Solution Design
Business Process Analysis
System Process Analysis
Stakeholder Management
Enterprise Systems
Technology Delivery
Candidates should be comfortable working between
business users and technical teams
, translating business requirements into workable technology solutions.
Generative AI / LLM Knowledge
Good understanding and practical exposure to:
Generative AI / GenAI
Large Language Models (LLMs)
Agentic AI
AI Agents
Agent Patterns
Agent Workflows
Retrieval-Augmented Generation (RAG)
LangChain
LangGraph
Model Context Protocol (MCP)
Prompt Engineering
LLM Architecture
Model Evaluation
Model Integration
Context Management
LLM / AI Workflows
Candidates should understand how these technologies can be integrated into
enterprise applications and business processes
.
LLM / Model Experience
Experience evaluating, integrating or working with LLMs such as:
OpenAI
Gemini
Llama
DeepSeek
Other commercial or open-weight Large Language Models
Fundamental understanding of:
LLM / model architecture
Prompt Engineering
Model selection and evaluation
Model integration
Fine-tuning concepts
Deep 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 Skills
Exposure to the following would be advantageous:
Python
LangChain
LangGraph
RAG
Model Context Protocol (MCP)
Agentic AI frameworks
Enterprise GenAI platforms
OpenShift
Containerised application environments
GenAI workflow / orchestration technologies
Key Competencies
Strong 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 Skills
1. Systems Analysis, Solution Design & Banking Technology
2. Generative AI, Large Language Models, RAG, Agentic AI, LangChain, LangGraph & MCP
3. Python, GenAI Architecture & Enterprise Technology Integration
System 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 Available
D 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 +************* 0192 to our recruiter Edwin (EA License No. 24C2333EA Personnel No. R24123520)
About Us
: Build Your Career in Banking, Technology & Corporate Job Opportunities — Contract & Permanent Roles Available
D L Resources
provides technology managed services and outsourced staffing workforce solutions for financial services institutions, banks, multi-national corporations MNCs and technology firms. We also offer recruitment, head-hunting, direct placement, and temporary contract jobs across a wide range of roles—covering both technology and business functions.
EA License No: 24C2333
LinkedIn: *************
Primary Focus: Application / Software Systems Analysis – GenAI
Secondary Exposure: Technology Solution Architecture / Enterprise Integration
Domain/Project: Global Markets, Capital Markets Banking Technology, and Market Risk Technology.
Role Overview
We 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 Analysis
Banking Technology / Banking Processes
GenAI / Large Language Models
Agentic AI / AI Agents
Solution Design
Stakeholder Management
Enterprise Technology Integration
Key Responsibilities
Gather, 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 requirements
System requirements
Solution designs
Process changes
GenAI / AI use cases
Support 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 Agents
LangChain
LangGraph
Model Context Protocol (MCP)
Prompt Engineering
LLM Model Integration
Assess 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.
Requirements
Education & Experience
Bachelor'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 Design
Strong experience in:
System Analysis / Systems Analysis
Business Requirements Analysis
Functional Requirements
Requirements Gathering
Requirements Workshops
Solution Design
Functional Solution Design
Business Process Analysis
System Process Analysis
Stakeholder Management
Enterprise Systems
Technology Delivery
Candidates should be comfortable working between
business users and technical teams
, translating business requirements into workable technology solutions.
Generative AI / LLM Knowledge
Good understanding and practical exposure to:
Generative AI / GenAI
Large Language Models (LLMs)
Agentic AI
AI Agents
Agent Patterns
Agent Workflows
Retrieval-Augmented Generation (RAG)
LangChain
LangGraph
Model Context Protocol (MCP)
Prompt Engineering
LLM Architecture
Model Evaluation
Model Integration
Context Management
LLM / AI Workflows
Candidates should understand how these technologies can be integrated into
enterprise applications and business processes
.
LLM / Model Experience
Experience evaluating, integrating or working with LLMs such as:
OpenAI
Gemini
Llama
DeepSeek
Other commercial or open-weight Large Language Models
Fundamental understanding of:
LLM / model architecture
Prompt Engineering
Model selection and evaluation
Model integration
Fine-tuning concepts
Deep 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 Skills
Exposure to the following would be advantageous:
Python
LangChain
LangGraph
RAG
Model Context Protocol (MCP)
Agentic AI frameworks
Enterprise GenAI platforms
OpenShift
Containerised application environments
GenAI workflow / orchestration technologies
Key Competencies
Strong 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 Skills
1. Systems Analysis, Solution Design & Banking Technology
2. Generative AI, Large Language Models, RAG, Agentic AI, LangChain, LangGraph & MCP
3. Python, GenAI Architecture & Enterprise Technology Integration
System 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 Available
D 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 +************* 0192 to our recruiter Edwin (EA License No. 24C2333EA Personnel No. R24123520)
About Us
: Build Your Career in Banking, Technology & Corporate Job Opportunities — Contract & Permanent Roles Available
D L Resources
provides technology managed services and outsourced staffing workforce solutions for financial services institutions, banks, multi-national corporations MNCs and technology firms. We also offer recruitment, head-hunting, direct placement, and temporary contract jobs across a wide range of roles—covering both technology and business functions.
EA License No: 24C2333
LinkedIn: *************
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