Quick overview
Job description
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
At American Express, our mission is to deliver the world’s best customer experience every day. At the heart of this mission is our Information Security organization, enabling exceptional experiences built on a foundation of trust, service, and security. We leverage advanced technologies and data-driven insights to stay ahead of an evolving threat landscape. We foster a culture of passion, curiosity, and courage—empowering you to innovate, grow, and help shape the future of a Fortune 100 company.
Trust. Service. Security.
We are seeking a highly skilled Senior AI Engineer to design, develop, and deploy advanced AI agents that leverage large scale telemetry, security, application, and network data sources. The ideal candidate will build intelligent agentic systems capable of autonomous reasoning, anomaly detection, threat identification and operational decision support across digital channels.
- Design, build, and deploy AI agents for identifying malicious activity, bot attacks, account takeover attempts, fraud patterns, API abuse, and network anomalies. Analyze large scale datasets from application logs, Layer 3 and Layer 4 network traffic, WAF logs and security events, Bot management and bot detection platforms, Threat intelligence feeds and external data sources
- Create agents capable of correlating events across multiple telemetry sources, monitoring signals, triggering playbooks and learn from feedback.
- Develop multi-agent systems capable of reasoning, planning, retrieval, tool usage, and workflow orchestration.
- Implement Retrieval-Augmented Generation (RAG), agent memory, and knowledge graph integrations to improve agent effectiveness.
- Create AI-powered copilots and investigative assistants for security analysts
- Implement model monitoring, drift detection, and continuous improvement processes.
- Mentor junior engineers and provide technical leadership on AI initiatives.
- Define technical standards, best practices, and architectural patterns for AI agent development.
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