Agentic AI Engineering - Future Needs Talent Pipeline

Future Opportunities - Agentic AI Engineering Talent Pipeline American Express invites you to share your resume so you can be considered for future opportunities. 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. 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, explainability, 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. We are building a talent pipeline for anticipated future Agentic AI Engineering opportunities within American Express Technology. This posting is an expression of interest and is intended to help us connect with talented engineers ahead of future roles becoming available; it is not tied to a specific current vacancy. If your experience aligns with the profile below, joining our talent pipeline gives our Talent Acquisition team the opportunity to learn more about you and potentially contact you when a relevant position is approved and posted. Any future opportunity would be subject to the requirements, location, level, and selection process for that specific role. Future Agentic AI Engineering roles are expected to be hands-on engineering positions contributing to production agentic AI systems that operate on real financial data and serve real customers. Engineers may work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features in a regulated, customer-facing environment. Technical Environment The following reflects the type of modern, enterprise-scale engineering environment and capabilities we expect to be relevant to future opportunities. Exact technologies and requirements may vary by role. Core Engineering Stack Languages: Python, Go, TypeScript Cloud and infrastructure: AWS and/or GCP, Kubernetes APIs and services: REST, gRPC Distributed systems: event-driven architectures, including Kafka Agentic AI and ML Commercial and open-source LLMs integrated into agentic workflows Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation Schema validation and structured data handling AI-assisted development Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring Learning how to apply these tools responsibly while maintaining production-quality standards All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment. What Future Opportunities May Involve Contributing to the design and implementation of LLM-powered and agentic product features. Building and extending agentic AI workflows that reason over context, call tools, and perform actions, with the level of ownership appropriate to the role. Helping implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety. Contributing to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling. Participating in operating AI systems in production, including monitoring, debugging, and improving reliability and performance. Collaborating closely with product and design partners to translate customer needs into technical solutions. Expected Qualifications Demonstrated experience in professional software engineering. Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based). Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript). Familiarity with APIs, basic cloud concepts, and modern development practices. Interest in agentic AI systems, autonomy, and AI-assisted development workflows. Willingness to learn, take feedback, and grow technical ownership over time. Comfort working in collaborative, cross-functional teams. A strong customer mindset and curiosity about real-world problem solving. Talent Pipeline Information By expressing interest through this posting, you are joining a talent pipeline for potential future opportunities. This does not constitute an application to a currently open position or a guarantee of interview or employment. If a suitable role becomes available, we may contact you and invite you to apply to the specific posted vacancy. Role scope, qualifications, location, compensation, and other terms will be confirmed in the relevant job posting.