Senior AI Engineer - Agentic Systems (Fintech)

American Express

Town of Florida (NY)

On-site

USD 180,000 - 240,000

Full time

5 days ago
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Job summary

American Express in New York is seeking a Senior AI Engineer - Agentic AI to turn complex problems into production-grade agentic systems that operate on real financial data and serve real customers. You will design, build, and ship LLM-powered features, create agentic workflows, and contribute to enterprise AI infrastructure while maintaining security and auditability.

This role emphasizes ownership, customer outcomes, and collaboration with product and design teams within a regulated financial

Qualifications

  • 5+ years of software engineering experience, including production experience with LLMs or applied ML systems.

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, 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.

Skills

LLM tooling
Agentic AI
Backend systems
Cloud infra
APIs
Data pipelines
Ownership
Customer focus

Tools

Kubernetes
Kafka
REST
gRPC
Vector storage
Agent orchestration

Job description

American Express in New York is seeking a Senior AI Engineer - Agentic AI to turn complex problems into production-grade agentic systems that operate on real financial data and serve real customers. You will design, build, and ship LLM-powered features, create agentic workflows, and contribute to enterprise AI infrastructure while maintaining security and auditability.

This role emphasizes ownership, customer outcomes, and collaboration with product and design teams within a regulated financial

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