Sr AI Engineer II - Agentic AI

American Express•Phoenix, AZ
•$123,000 - $215,250

About The Position

As a Senior AI Engineer II – Agentic AI, you will build production-grade agentic systems that address complex problems, operate on financial data, serve customers, and meet regulatory requirements. You will work end to end, shaping solutions with product and design partners, building and shipping production code, and owning systems after launch. The work spans customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that help other engineers build safely and efficiently with AI. This is an engineering role focused on production delivery rather than research alone, requiring autonomy and sound judgment in a regulated financial environment. The role is within American Express Technology and the U.S. Consumer Services and Membership Digital Experiences Technology organization, on the Mobile Engineering team. The team builds customer-facing digital capabilities and mobile applications used by American Express customers around the world. The technology environment includes Python, Go, TypeScript, AWS and/or GCP, Kubernetes, REST, gRPC, event-driven architectures such as Kafka, LLMs, agent orchestration, RAG, vector storage, and evaluation tooling.

Requirements

  • At least 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.
  • Strong sense of ownership and sound technical judgment.
  • Comfort operating with ambiguity and turning it into reliable shipped products.
  • A strong product mindset and customer orientation.

Nice To Haves

  • Experience building agentic systems in fintech or other regulated industries.
  • Experience as a founding engineer or early technical contributor in high-growth environments.
  • Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
  • Meaningful open-source contributions, particularly in AI or developer tooling.
  • Experience with modern application development technologies such as React, Kotlin, TypeScript, CircleCI, iOS/Swift, and Android.

Responsibilities

  • 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, meeting requirements for correctness, auditability, and safety.
  • Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling.
  • Own production systems, including their reliability, latency, cost, and failure modes.
  • Work closely with product and design partners, focusing on customer outcomes as well as technical execution.
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