Skip to content
Pricing
American ExpressVerified from American Express' careers page · Oracle HCM

Sr AI Engineer II - Agentic AI

  • Phoenix, Arizona, USA
  • On-site
  • 8+ Years
  • Posted Nov 4, 2026

Visa sponsorship: the posting does not say.

American Express had H-1B petitions approved for 499 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. See the record

At a glance

Sr AI Engineer II - Agentic AI at American Express, an on-site role based in Phoenix, Arizona, USA. Experience level: 8+ Years. Posted on 4 November 2026, read from American Express' own careers page (Oracle HCM), which RealAnalystJobs re-checks daily and removes the role when it closes. American Express has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).

Similar roles on RealAnalystJobs, as of 15 November 2026

About this role

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, 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 U.S. Consumer Services and Membership Digital Experiences Technology team (USCDT) brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), marketing and advertising technology, enterprise communications, travel and lifestyle, and dining technology. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments. You’ll be part of the Mobile Engineering team whose mission is to be essential in our customers’ digital lives by providing value, convenience, and delight wherever they are. You will be responsible for leading a team of mobile engineers building mobile applications that will be used by tens of millions of American Express Customers around the world. The Role As a Senior AI Engineer II – Agentic AI, you will be a core builder responsible for turning complex, ambiguous problems into production-grade agentic systems that operate on real financial data, serve real customers, and meet real regulatory requirements. You will work end to end: shaping solutions with product and design, building and shipping production code, and owning what you deliver after launch. The scope of this role spans customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that enable other engineers to build with AI safely and efficiently. This is not a research-only role. We are looking for engineers who are comfortable operating with autonomy, exercising sound judgment, and pushing the technical envelope within the realities of a regulated financial environment. • Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances. • Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure. • Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety. • Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology. • Own the systems you build in production, including reliability, latency, cost, and failure modes. • Work closely with product and design partners; engineers in this role are expected to think in terms of customer outcomes, not just technical execution. Technical Environment We don’t hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale environment with a strong emphasis 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 • Strong schema, validation, and state management practices AI-assisted development • Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring • Thoughtful use of these tools while maintaining production-quality engineering 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. • 8+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems. • A track record of shipping AI-powered or agentic systems that real users depend on. • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure. • Hands-on experience with modern LLM tooling and agentic patterns and architectures. • Fluency with AI-assisted and agentic development workflows. • St

Description from American Express' public careers feed, reproduced so you can read the role here. Apply on the company's own site; RealAnalystJobs never submits anything for you.

American Express

39 open analyst roles on RealAnalystJobs

More roles at American Express
Get new analyst roles every day on Telegram. India, the US, Europe and remote, one tap to follow, no sign-up.

Hiring analysts? List your role free.