Vietnamese commercial bank building AI infrastructure on AWS
ACB is a Ho Chi Minh City-based joint-stock bank serving retail and corporate clients, and its stack shows a serious GenAI build-out: Bedrock, SageMaker, LangGraph, Langfuse, vLLM with Qwen, and several vector stores (Qdrant, Milvus, Pinecone, OpenSearch) running alongside Java/Spring Boot and Kafka. Pain points around vector database selection and hybrid AI deployment suggest the bank is still standardizing its AI platform while hiring accelerates.
ACB - Asia Commercial Bank is a publicly listed joint-stock commercial bank headquartered in Ho Chi Minh City, Vietnam, founded in 1993. It provides commercial, retail and corporate banking alongside financial markets services through a nationwide branch network. The bank employs more than 10,000 people and hires in Vietnam. Its product work spans card installment programs, merchant networks and payment ecosystem partnerships, supported by credit collection and risk monitoring functions.
ACB runs on AWS (EKS, ECS, Lambda, API Gateway, KMS), Java with Spring Boot, Kafka and Python, plus GenAI tools like Bedrock, SageMaker, LangChain, LangGraph, vLLM and Qdrant, managed via Jira and Azure DevOps.
Yes. ACB is building an AI landing zone on AWS, hybrid AI deployments and an LLM observability and evaluation framework, using Bedrock, LangGraph, Langfuse, LangSmith and Qwen served on vLLM.
ACB is headquartered in Ho Chi Minh City, Vietnam. Founded in 1993, it is a public company with over 10,000 employees and currently hires in Vietnam.
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ACB - Asia Commercial Bank's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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