Senior AI Engineer I — Agentic AI for Production

American Express; Phoenix (AZ); On-site; USD 140,000 - 210,000; Full time

Job summary

American Express's technology organization is seeking a Senior AI Engineer I – Agentic AI to turn complex, ambiguous problems into production-grade agentic systems that operate on real financial data and serve real customers.

You will shape solutions with product and design, build and ship production code, and own what you deliver after launch, covering customer-facing LLM-powered features and internal AI capabilities for other engineers.

Qualifications

• 5+ 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 shipped reliable product.
• A strong product mindset and customer orientation.

Responsibilities

• Design, build, and ship LLM-powered features that change how customers manage finances.
• Build agentic AI systems that reason over context and take real actions.
• Architect production-grade RAG pipelines with strict correctness and safety.
• Contribute to shared AI infrastructure, including LLM services and tooling.
• Own production systems, including reliability, latency, and costs.
• Work closely with product and design partners to focus on customer outcomes.

Skills

LLMs/ML experience

Production systems

Backend APIs

Cloud infrastructure

Ownership & product mindset

Ambiguity tolerance

Tools

LLM tooling

Kubernetes

AWS/GCP

REST/gRPC

Kafka

Job description

American Express's technology organization is seeking a Senior AI Engineer I – Agentic AI to turn complex, ambiguous problems into production-grade agentic systems that operate on real financial data and serve real customers.

You will shape solutions with product and design, build and ship production code, and own what you deliver after launch, covering customer-facing LLM-powered features and internal AI capabilities for other engineers.