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Open nowPosted 9 hours ago

GenAI Architect - Banking

Unison Group

Where
Singapore
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Your applicationOpen nowGenAI Architect - BankingUnison Group · Singapore

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Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 9 hours ago

The posting

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.
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