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.

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

• 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.

Minimum Qualifications

• 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).

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.

• 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.

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 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• 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

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.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.