Job 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.

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.

At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.

Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences—while meeting the high standards for security, explanation ability, reliability, and compliance required in financial services.

We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow.

• Leads the design and optimization of AI/ML models, ensuring alignment with business needs and scalability requirements
• Develops, deploys, and refines AI-driven solutions, integrating generative AI and NLP models as needed
• Designs and maintains efficient AI data processing frameworks, enabling seamless model deployment
• Oversees model governance, ensuring compliance with security and enterprise AI policies
• Researches and experiments with new AI techniques to enhance model accuracy, efficiency, and interpretability
• Guides AI implementation strategies, working closely with engineers, data scientists, and business teams
• Drives best practices for AI model deployment, automation, and machine learning operations (MLOps)
• Collaborates effectively with teams in product and the business to align technology initiatives with business objectives
• Impacts single project, extending collaboration with multiple teams and impacting broader project functionalities
• Designs and builds end-to-end production AI systems, integrating machine learning models, LLMs, and supporting services into scalable applications
• Develops AI capabilities including training pipelines, inference services, retrieval architectures, and evaluation frameworks
• Ensures AI systems meet enterprise standards for reliability, explainability, observability, and regulatory compliance, proactively identifying improvements

• 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 delivering end-to-end AI systems in production, including design and operational ownership

• Experience with distributed systems design, scalable APIs, and cloud-native AI infrastructure, including monitoring and optimization

• Advanced expertise in a technical domain and moderate expertise in a new, different technical domain

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.