[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All American Express jobs](https://jobs.opennash.com/companies/american-express/) · [Search jobs](/search/) American Express · Phoenix, AZ # AI Engineer II - Enterprise Architecture Phoenix, AZ, United States Hybrid Operations Listed on American Express’s official careers site. Posted September 21, 2026. Check that it is still open and apply there. [Apply on American Express’s careers site →](https://egug.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/26013923) [OpenNash Jobs](https://jobs.opennash.com/) / [American Express](https://jobs.opennash.com/companies/american-express/) / AI Engineer II - Enterprise Architecture ## Job description 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. The Role As an AI Engineer – Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers. You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering. This is not a research-only role. You will write production code, contribute to system design discussions, and help operate what you build after launch, with support and guidance from more senior engineers. ## Responsibilities ### What You’ll Do Contribute to the design and implementation of LLM-powered and agentic product features. Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers. Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety. Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling. Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance. Collaborate closely with product and design partners, learning to translate customer needs into technical solutions. Technical Environment We don’t hire to a narrow checklist, but candidates should be excited to grow in a modern, enterprise-scale engineering environment with a focus on agentic AI. ### 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. ## Qualifications ### What We’re Looking For 2+ years of professional software engineering experience. 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. ### Preferred Qualifications Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects. Internship or early-career experience in fintech or other regulated environments. Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling. 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. ## At a glance - Posted by the employer: Sep 21, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 27 days - Location: Phoenix, AZ, United States - Work arrangement: Hybrid[Apply on American Express’s careers site →](https://egug.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/26013923) ## More jobs at American Express ### [AI Engineer III](https://jobs.opennash.com/companies/american-express/jobs/70c142787e2e5b97033d/) Phoenix, AZ, United States ### [AI Engineer III - Enterprise Architecture](https://jobs.opennash.com/companies/american-express/jobs/a04da6389c89a6329b1d/) Phoenix, AZ, United States ### [Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ](https://jobs.opennash.com/companies/american-express/jobs/56c42f04be55fd861745/) Phoenix, AZ, United States ### [Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ](https://jobs.opennash.com/companies/american-express/jobs/80872dc61d5a2c1d4231/) Phoenix, AZ, United States ### [Campus Graduate Masters Summer Internship Program - 2027 Business Strategy, Global Servicing- Phoenix, AZ](https://jobs.opennash.com/companies/american-express/jobs/11fc589952cd1697e623/) Phoenix, AZ, United States ## Similar jobs at other companies ### [Sales Engineer, Enterprise](https://jobs.opennash.com/companies/fortinet/jobs/d506c610efb9b49a9300/) Fortinet · Phoenix, AZ, United States ### [Lead Technical Program Manager -Enterprise Architecture](https://jobs.opennash.com/companies/jpmorganchase/jobs/6fbe8af1d57d585d3dc9/) JPMorganChase · Jersey City, NJ, United States ### [Enterprise Architect - Data Architecture - Atlanta Innovation Hub](https://jobs.opennash.com/companies/microsoft/jobs/2b8e43e171bfbb3cabab/) Microsoft · United States, Georgia, Atlanta ### [Director - Enterprise Architecture](https://jobs.opennash.com/companies/arrow-electronics/jobs/28c0e8eb19e372f6f82e/) Arrow Electronics · Centennial, CO, United States of America [Jobs in Phoenix, AZ](/locations/us/az/phoenix/)[Jobs in Arizona](/locations/us-az/)[Operations jobs](/functions/operations/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)