GenAI Architect for Banking & Risk Solutions

Unison Group

Singapore

On-site

SGD 180,000 - 300,000

Full time

2 days ago
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Job summary

Unison Group seeks a GenAI Architect to design and implement secure, scalable Generative AI solutions for banking, spanning customer service, operations, risk, and compliance. The role blends enterprise architecture with hands‑on AI expertise and banking domain knowledge.

You will lead architecture reviews, mentor engineers, and guide projects from PoC to production, ensuring regulatory alignment and auditable workflows across core systems and APIs.

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.

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.

Skills

GenAI architecture
Enterprise architecture
Python
API development
LLM deployment
Cloud platforms
Vector databases
KYC/AML knowledge
Security controls
CI/CD / LLMOps

Education

Bachelor's or Master’s in CS/Engineering or related field

Tools

Azure OpenAI
Amazon Bedrock
Google Vertex AI

Job description

Unison Group seeks a GenAI Architect to design and implement secure, scalable Generative AI solutions for banking, spanning customer service, operations, risk, and compliance. The role blends enterprise architecture with hands‑on AI expertise and banking domain knowledge.

You will lead architecture reviews, mentor engineers, and guide projects from PoC to production, ensuring regulatory alignment and auditable workflows across core systems and APIs.

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