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Sr AI Engineer I
AZ, United States
Sunrise, FL, United States
(Hybrid)
Job Description
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
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.
The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.
American Express Technologies is building AI-powered tools to improve how our production systems are monitored, supported, and maintained. This team focuses on applying Generative AI to real operational challenges—like incident triage, root cause analysis, Delivery Pipelines, and workflow automation—at an enterprise scale.
We’re looking for an engineer with hands-on experience in Generative AI who wants to build practical, production-ready applications. You’ll work on systems that combine LLMs with real-world operational data to reduce manual effort, drive decisions vis data, and improve system availability
Responsibilities
Build and iterate on Generative AI applications, including retrieval-augmented generation (RAG) systems and lightweight agent workflows
Develop data pipelines that bring together logs, metrics, and operational data to support AI-driven use cases
Prototype quickly and help transition successful ideas into production-ready tools
Apply LLMs, embeddings, and vector databases to solve problems in incident management and system operations
Collaborate with engineers and product partners to identify high-impact opportunities for AI in production environments
Contribute to deployment, monitoring, and ongoing improvement of AI-powered systems
What You’ll Learn / Grow Into
Designing and scaling AI systems in real-world production environments
Applying GenAI patterns (RAG, agents) to complex and diverse enterprise data
Building reliable, observable systems—not just prototypes, with measurable effectiveness and outcomes
Working across teams to turn ideas into adopted mainstream solutions
Qualifications
2–5 years of software engineering or data engineering experience
Hands-on experience building solutions with demonstrated results using LLM-based applications (RAG, chatbots, or similar)
Proficiency in Python (preferred) or Go
Understanding of data pipelines and working with structured and unstructured data
Familiarity with modern AI/ML tooling (e.g., LangChain, Hugging Face, or similar ecosystems)
Experience deploying applications in cloud or containerized environments (Docker, Kubernetes, etc.)
Preferred Qualifications
Experience working with vector databases, traditional databases and warehouses, and embedding-based retrieval
Exposure to observability and/or operational data (logs, metrics, tracing)
Experience with ITIL data, particularly incident, problem, and change
Familiarity with APIs, microservices, or full-stack development
Interest in applying AI to system reliability and operational effectiveness.
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
At American Express, our culture is built on a 175-year history of innovation, shared values (https://www.americanexpress.com/en-us/company/who-we-are/) 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 our 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.
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 out Colleague Benefits Site (https://www.americanexpress.com/en-us/colleagues/benefits) .
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 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.
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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.?
Job Info
Job Identification 26007181
Job Category Technology
Posting Date 05/12/2026, 11:48 PM
Apply Before 05/20/2026, 04:00 AM
Degree Level Bachelor's Degree
Job Schedule Full time
Job Shift Day
Locations AMEX 18850 North 56th Street, Phoenix, AZ, 85054, US1500 NW 136th Avenue, Sunrise, FL, 33323, US(Hybrid)
Salary Range $123000 - $215250 annually + bonus + benefits
Career Area Technology
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