\\\\Description\\\\ At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. \\\\How will you make an impact in this 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. Key responsibilities may include: \\+ 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. \\\\Minimum Qualifications\\\\ \\+ Demonstrated passion for Generative AI and its application to real-worldbusiness 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). \\\\Preferred Qualifications\\\\ \\+ 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. \\+ Understanding of 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. \\+ 35 years of relevant work experience with a bachelors degree in computer science, Data Science, or related field. \\\\Qualifications\\\\ Salary Range: $89,250.00 to $150,250.00 annually bonus benefits The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, well consider your location, experience, and other job-related factors. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: \\+ Competitive base salaries \\+ Bonus incentives \\+ 6% Company Match on retirement savings plan \\+ Free financial coaching and financial well-being support \\+ Comprehensive medical, dental, vision, life insurance, and disability benefits \\+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need \\+ 20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy \\+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) \\+ Free and confidential counseling support through our Healthy Minds program \\+ Career development and training opportunities For a full list of Team Amex benefits, visit our Colleague Benefits Site . American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the Know Your Rights poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions. \\\\Job:\\\\ Technology \\\\Primary Location:\\\\ US-Arizona-Phoenix \\\\Schedule\\\\ Full-time \\\\Req ID:\\\\ 26005916

The role requires demonstrated passion for Generative AI and its application to business problems. Hands-on experience with LLM frameworks like LangChain or LangGraph and RAG architectures is necessary. Strong programming skills in Python or Go are needed, along with the ability to build both prototypes and production applications. A solid understanding of data engineering principles, including ETL pipelines, data management, and vector databases, is essential. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face is also required. Proficiency in deploying AI-enabled applications using cloud platforms and containerized environments like Kubernetes and Docker is necessary. A bachelor's degree in computer science, Data Science, or a related field is required, along with 3-5 years of relevant work experience.