Global payments and merchant services network with regulatory-first infrastructure
American Express operates a multi-billion-dollar payments network across corporate cards, merchant acquiring, and travel services, with a tech stack spanning Java, Python, Kafka, and multi-cloud infrastructure (AWS, Azure, GCP). Current hiring velocity is accelerating across engineering, product, and data—signaling active modernization work. The project backlog reveals heavy focus on agentic AI governance, financial crime detection, and operational risk frameworks, paired with ongoing replacement of legacy EBS and Cornerstone systems, indicating a transition toward real-time, AI-driven compliance and fraud detection.
Notable leadership hires: SME Account Director, Head of Acquisition, Engineering Director, Communications Director, Compliance Director
American Express is a publicly traded global payments company headquartered in New York with 10,001+ employees. The company operates a closed-loop payment network serving corporate clients, merchants, and consumers, with primary revenue from interchange, network fees, and merchant processing. Core business lines include corporate and business travel cards, merchant services, and point-of-sale acquiring. The organization maintains extensive compliance, risk, and operations functions to manage regulatory exposure across 20+ countries where it actively hires.
Active projects include agentic AI platform and governance frameworks, next-generation financial crimes detection, case management platform modernization, and operational risk framework implementation. The company is also modernizing talent strategy and automating process workflows.
Core stack: Java, Python, JavaScript, Kafka, Kubernetes, multi-cloud (AWS, Azure, GCP), Oracle, MongoDB, Elasticsearch, Splunk. Adopting: RAG, agentic patterns, Adobe Experience Platform, Oracle EPM Cloud. Replacing legacy Cornerstone, Oracle EBS, and Fieldglass.
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