Agentic AI Engineer - Global Infrastructure

Agentic AI Engineer - Global Infrastructure New York, NY, United States Phoenix, AZ, United States Sunrise, FL, United States (Hybrid) Job Description 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. This AI Engineer II will build and optimize trained AI/ML models, enhance data pipelines for scalability, support model integration with production systems, and ensure adherence to enterprise AI standards while collaborating cross-functionally to refine AI strategies. Responsibilities Develops and optimizes AI/ML models, ensuring seamless integration with production environments Builds and enhances data pipelines to support scalable and efficient AI processing Participates in designing and reviewing AI architectures, ensuring alignment with enterprise standards Implements model monitoring and evaluation techniques to improve AI system performance over time Ensures AI solutions adhere to governance, security, and compliance requirements Provides support and troubleshooting for AI models and data processing pipelines in production Collaborates effectively with teams in product and the business to align technology initiatives with business objectives Performs standard tasks within established procedures and guidelines; works within established guidelines with some degree of independence for routine tasks Develops and integrates components of production AI systems, including ML models or LLM-based services, with moderate independence Contributes to AI capabilities such as model training pipelines, inference services, and retrieval workflows, improving performance and reliability Applies enterprise standards for observability, safety, and compliance in implemented AI components Qualifications Education and Knowledge: Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred Knowledge of Python and data processing technologies Knowledge of natural language processing techniques like fuzzy wuzzy and models such as BERT, Transformer models, and their real-world applications Working knowledge of machine learning techniques and model evaluation approaches Understanding of modern AI architectures including LLM integration patterns, retrieval-augmented generation (RAG), and basic orchestration concepts Work Experience: Experience in software development with a focus on machine learning, generative AI, Big Data, and prompt engineering Experience in working with large language models (LLMs), especially GPT-3.5/4 or similar AI models Experience in languages such as Python or R Experience in deploying AI models and pipelines using machine leanring operations tools Experience in machine learning algorithms and experience applying them to real-world problems Experience in continuous integration/continuous deployment pipelines and containerized deployments Experience in building and maintaining data pipelines and extract, transform, and load processes Experience developing and deploying machine learning or LLM-enabled applications in production or near-production environments Practical experience with distributed systems concepts, APIs, and cloud-native infrastructure supporting AI workloads Moderate expertise in a specific technical domain 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 ( 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 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 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: 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 26013774 Job Category Technology Posting Date 09/17/2026, 05:12 PM Apply Before 10/03/2026, 04:00 AM Job Schedule Full time Job Shift Day Locations AMEX World Financial Center, New York, NY, 10285, US1500 NW 136th Avenue, Sunrise, FL, 33323, USAMEX 18850 North 56th Street, Phoenix, AZ, 85054, US(Hybrid) Salary Range $89250 - $150250 annually + bonus + benefits Career Area Technology Return to Jobs List ( American Express