Drimva

American Express

Staff AI Engineer - Enterprise Architecture

Phoenix, AZ +2 · Hybrid · Staff · Full-time · Posted Oct 7, 2026

Location
Phoenix, AZ
New York, NY
Sunrise, FL
Experience
10+ years of software engineering experience; includes hands-on agentic or LLM-powered production systems.
Visa sponsorship
American Express may provide visa sponsorship for certain positions, depending on business unit requirements, the nature of the position, cost, and applicable laws.

About the job

Leads the architecture, development, and operation of production-grade agentic AI systems and shared capabilities across enterprise products.

What you'll do

  • Set technical direction and design agent frameworks, orchestration, retrieval, infrastructure, evaluation, observability, and safety capabilities.
  • Build and operate production systems, lead design reviews, and guide cross-team delivery and technical decisions.
  • Evaluate emerging AI techniques and mentor engineers to improve agentic AI development.

What they ask for

  • 10+ years of software engineering experience, including hands-on delivery of agentic or LLM-powered systems to production.
  • Experience owning complex, cross-cutting agentic systems spanning multiple teams or products.
  • Deep experience with agentic AI, including planning, tool use, memory, and evaluation; strong backend, API, data pipeline, and cloud fundamentals.
  • Experience with workflow engines, asynchronous processing, queues, and streaming systems.

Nice to have

  • Experience building agentic systems in fintech or other regulated industries.
  • Founding or early technical leadership in AI products; open-source contributions or experience with fine-tuning, model optimization, and inference pipelines are also noted.

Pay

$144250 - $256250 annually (base salary)

Tools

Python, Go, TypeScript, REST, gRPC, AWS, GCP, Kubernetes

AI focus

Designs, builds, and operates enterprise agentic AI systems, including planning, tool use, memory, RAG, LLM infrastructure, evaluation, observability, and safety.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)