Senior AI Engineer - Global Commercial Services

🕒 August 6

🗽 New York – Remote

🗽 New York – Remote

💵 $123k - $215.3k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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American Express

WebsiteLinkedInAll Job Openings

10,000+ employees

🏦 Banking

💸 Finance

🤝 B2B

Banking • Finance • B2B

American Express is a global financial services company that issues consumer, business, and corporate credit cards, operates payment and merchant services, and offers banking products such as savings accounts, certificates of deposit, and personal loans. It provides rewards and travel programs, corporate and B2B payment solutions, financial education and security services, and extensive cardmember and merchant support.

📋 Description

• Design, build, test, and operate production-grade agentic AI applications and services • Contribute to shared agentic AI capabilities, including agent frameworks and orchestration, planning, tool use, memory strategies, RAG pipelines, LLM integration and inference services, and evaluation, observability, and safety tooling • Partner with senior engineers to design scalable, reliable, and maintainable distributed systems • Participate in technical design discussions and code reviews • Collaborate with Product, UX, and cross-functional partners to deliver AI-powered capabilities from concept through production • Evaluate emerging AI technologies and incorporate practical improvements into the platform • Mentor junior engineers and contribute to a collaborative engineering culture • Work in a modern, cloud-native engineering environment focused on agentic AI

🎯 Requirements

• 6+ years of experience building large-scale backend or distributed software systems • Experience developing AI-powered applications using LLMs, agentic workflows, RAG, or modern ML platforms • Experience building production services using TypeScript, Go, Python, or similar languages • Strong software engineering fundamentals across backend development, APIs, cloud infrastructure, and distributed systems • Familiarity with cloud platforms, containers, and Kubernetes • Experience with asynchronous processing, workflow engines, queues, or streaming systems • Strong problem-solving skills and ability to work through ambiguous technical challenges • Excellent collaboration and communication skills across engineering and product teams • Passion for learning new technologies and contributing to engineering best practices • Preferred: experience building AI applications in financial services or other regulated industries • Preferred: experience deploying production LLM or RAG-based systems • Preferred: familiarity with evaluation frameworks, observability, and AI safety practices • Preferred: contributions to open-source software or AI-related projects • Experience with fine-tuning, model optimization, or inference pipelines is a plus • Comfortable with Go, TypeScript, Python, REST, gRPC, tRPC, AWS and/or GCP, SNS, SQS, Lambda, EKS, API Gateway, Kubernetes, Kafka, Temporal or DBOS, LangGraph, LangChain, Airflow, VercelAI SDK, LlamaIndex, RAG architectures, embedding models, vector databases, prompt engineering, structured output generation, model serving, Effect TS, and Zod

🏖️ Benefits

• Annual salary of $123000 - $215250 • Bonus • Benefits