GenAI Architect - Banking

Hong Kong Unison Limited; Singapore; Sur place; SGD 180 000 - 280 000; Plein temps

Résumé du poste

Unison Consulting seeks a GenAI Architect to design and implement secure, scalable Generative AI solutions for banking, spanning customer service, operations, risk, and compliance. You will lead architecture, select models and tooling, and ensure governance.

You will collaborate with security, compliance, legal, and model risk teams to meet regulatory requirements, guiding projects from PoC to production.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• Strong experience in enterprise architecture and delivery within banking/financial services.
• Hands-on experience developing and deploying production LLM applications.
• Proficiency in Python, API development, microservices, and distributed systems.
• Experience with RAG, embeddings, semantic search, and model evaluation.
• Experience with major cloud AI platforms (Azure OpenAI, Bedrock, Vertex AI).
• Knowledge of banking processes and secure development practices.
• Experience with CI/CD, containers, IaC, and LLMOps.
• Excellent communication for cross-functional stakeholders.

Responsabilités

• Define GenAI architecture and roadmap with banking business and tech teams.
• Design solutions for customer/employee assistants, KYC, and operations automation.
• Build RAG architectures using approved knowledge sources.
• Evaluate models, embeddings, and vector databases for accuracy, latency, and cost.
• Integrate GenAI with core banking systems and enterprise APIs.
• Design workflows with controlled tool access and auditable actions.
• Implement data security, retention, and residency controls.
• Address risks like hallucinations and prompt injection.
• Establish evaluation, monitoring, and deployment practices for production AI.
• Collaborate with security/compliance/model risk to meet governance.

Connaissances

Python

APIs

Microservices

Distributed systems

RAG

Embeddings

Semantic search

Prompt engineering

Model evaluation

Cloud platforms

Vector DBs

Banking domain

Security

IAM

Audit logs

CI/CD

Containers

IaC

LLMOps

Communication

Formation

Bachelor’s or Master’s in CS/Engineering

Outils

Azure OpenAI

Amazon Bedrock

Google Vertex AI

Description du poste

Job Description: GenAI Architect – Banking

Experience: 10+ years in software engineering or architecture, with hands-on experience delivering Generative AI solutions

Domain: Banking and Financial Services

Role Overview

We are seeking a GenAI Architect to design and implement secure, scalable Generative AI solutions for banking. The role combines enterprise architecture, hands-on AI expertise, and banking domain knowledge to deliver solutions across customer service, operations, risk, and compliance.

Key Responsibilities

• Define the GenAI architecture and roadmap in collaboration with banking business and technology teams.
• Design solutions for use cases such as customer and employee assistants, credit document analysis, KYC support, regulatory knowledge retrieval, and operations automation.
• Build retrieval-augmented generation (RAG) architectures using banking policies, product documents, procedures, and approved knowledge sources.
• Evaluate LLMs, embedding models, vector databases, and orchestration frameworks against accuracy, security, latency, and cost requirements.
• Integrate GenAI applications with core banking systems, CRM platforms, document repositories, and enterprise APIs.
• Design agentic workflows with controlled tool access, human approvals, and auditable actions.
• Implement controls for sensitive customer data, access permissions, data retention, and data residency.
• Address risks including hallucinations, prompt injection, data leakage, and inappropriate model outputs.
• Establish evaluation, monitoring, versioning, and deployment practices for production AI applications.
• Collaborate with information security, compliance, legal, and model risk teams to meet applicable regulatory requirements and internal policies.
• Lead architecture reviews, mentor engineers, and guide solutions from proof of concept to production.

Required Skills and Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong experience in enterprise architecture and application delivery within banking or financial services.
• Hands-on experience developing and deploying production LLM applications.
• Proficiency in Python, API development, microservices, and distributed systems.
• Strong understanding of RAG, embeddings, semantic search, reranking, prompt engineering, and model evaluation.
• Experience with at least one major cloud AI platform, such as Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
• Experience with vector databases or vector-enabled search platforms.
• Knowledge of banking processes such as retail or corporate banking, lending, payments, KYC/AML, or risk management.
• Understanding of secure development, encryption, identity and access management, and audit logging.
• Experience with CI/CD, containers, infrastructure as code, and LLMOps.
• Strong communication skills and the ability to explain architectural decisions to technical and business stakeholders.

Preferred Qualifications

• Experience navigating model risk reviews and AI governance processes in a bank.
• Familiarity with private networking, hybrid deployments, and restricted data environments.
• Experience with model fine-tuning, open-weight models, or multimodal document processing.
• Experience designing human review and escalation mechanisms for sensitive banking workflows.
• Relevant cloud architecture or AI certifications.

Company Profile

Unison Consulting established in the year 2012 in Singapore. We provide technology consulting, systems implementation, and integrations service to Asia Pacific customers. We help transform enterprise data in actionable insights. Our consultants have wide range of functional expertise within Banking and Financial services spectrum, working closely with clients to anticipate, illuminate and overcome complex business challenges.

Our objective is to be a one-stop solution provider all enterprise business intelligence and data warehousing needs of organizations.

Our mission is to consistently deliver our services to our clients in a cost-effective way without compromising the quality.

Our current clients include - DBS, OCBC, Standard Chartered Bank and Maybank.