Senior Agentic AI Engineer (Fintech)

Aimlroles

Phoenix (AZ)

Hybrid

USD 150,000 - 210,000

Full time

14 days+

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Job summary

American Express is hiring a Senior AI Engineer II – Agentic AI to turn complex problems into production-grade agentic systems handling real financial data. You will ship customer-facing LLM-powered features and develop internal AI capabilities, balancing reliability, security, and regulatory compliance.

You will collaborate with product and design, own production systems, and drive end-to-end delivery from design to deployment, ensuring customer outcomes drive engineering decisions.

Qualifications

  • 8+ years of software engineering experience, including production experience with LLMs or applied ML systems.
  • Shipping AI-powered or agentic systems that real users depend on.
  • Strong fundamentals across backend systems, data pipelines, and cloud infrastructure.
  • Experience with modern LLM tooling and agentic patterns.

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 actions, and recover gracefully from failures.
  • Architect production-grade RAG pipelines over sensitive data with strict correctness and auditability requirements.
  • Contribute to AI infrastructure, including LLM services and agent orchestration frameworks.

Skills

Agentic AI
LLM tooling
Production systems
Cloud infrastructure
Backend systems

Tools

Kubernetes
Kafka
Python
Go
TypeScript

Job description

American Express is hiring a Senior AI Engineer II – Agentic AI to turn complex problems into production-grade agentic systems handling real financial data. You will ship customer-facing LLM-powered features and develop internal AI capabilities, balancing reliability, security, and regulatory compliance.

You will collaborate with product and design, own production systems, and drive end-to-end delivery from design to deployment, ensuring customer outcomes drive engineering decisions.

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