American Express is seeking to transform how critical platforms are supported by embedding AI-first solutions into event management and system reliability
Requirements
- Demonstrated passion for Generative AI and its application to real-world business problems
- Hands-on experience with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures
- Strong programming skills in Python (preferred) and/or Go, with proven ability to build both prototypes and production applications
- Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases
- Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face
- Proficiency in deploying AI-enabled applications using cloud platforms and containerized environments (Kubernetes, Docker, OpenShift)
- Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows
Responsibilities
- Design and develop Generative AI applications, including RAG pipelines, agentic workflows, and Model Context Protocol (MCP) integrations
- Collaborate with data owners to build data pipelines, feature engineering processes, and context enrichment strategies that optimize AI-enabled solutions
- Prototype and deliver production-ready tools leveraging LLMs, embeddings, vector databases, and orchestration frameworks
- Translate business and operational challenges into AI-first solutions with a product mindset, ensuring they deliver measurable improvements in system reliability, incident response, and user experience
- Ensure production-ready deployments include appropriate logging, monitoring, and runbooks, maintaining operational excellence alongside innovation
- Partner with multiple teams across the enterprise to identify, prioritize, and deliver product-driven GenAI opportunities that improve platforms, tooling, and processes
Other
- 35 years of relevant work experience with a Bachelors degree in Computer Science, Data Science, or related field
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
