# GenAI Architect - Banking

**Company:** [Unison Group](https://jobs.workable.com/companies/deKpPhPMtQZga7XoPG1tSo.md)
**Location:** Singapore, Singapore
**Workplace:** on site
**Employment type:** Contract
**Department:** Manish

[Apply for this job](https://jobs.workable.com/view/a24aee1e-5ffc-4c6b-949e-eceaf95baea5)

## Description

## 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.