> Markdown version of [/jobs/ext/642222-generative-ai-and-data-engineering](https://www.wearedevelopers.com/jobs/ext/642222-generative-ai-and-data-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative AI and Data Engineering - **Company:** AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC. - **Location:** New York, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Programming, Information Engineering, Extract Transform Load (ETL), Monitoring of Systems, Python (Programming Language), Node.Js, OpenShift, Tensorflow, SQL Databases, Systems Integration, Unstructured Data, Data Logging, Feature Engineering, Pytorch, ReactJS, Large Language Models, Grafana, Model Validation, Reliability of Systems, Generative AI, Containerization, Kubernetes, Information Technology, HuggingFace, Data Analytics, Web Technologies, Splunk, GPT, Data Pipelines, Dynatrace, Docker, Microservices - **Published:** June 25, 2026 - **Apply:** https://www.dice.com/job-detail/c3a015b1-aca6-4c54-a212-ef3fe0e94d9f ## About the Role American Express Technologies is seeking an Engineer with advanced skills in Generative AI and Data Engineering to join our Production Management tooling team. Our mission is to transform how critical platforms are supported by embedding AI-first solutions into event management and system reliability. We are looking for highly motivated, creative problem solvers who are excited to design and implement innovative AI tools that address complex business challenges at scale., * 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. * Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods. * Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK. * Familiarity with APIs, microservices, and web technologies (React, NodeJS, SQL) to deliver end-to-end solutions. * 3-5 years of relevant work experience with a Bachelor's degree in Computer Science, Data Science, or related field. * Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. ## Description 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., * 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 productmindset, 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 deliverproduct-driven GenAI opportunities that improve platforms, tooling, and processes. ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past)