Senior AI Engineer I - Agentic AI

About the role

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express.

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.

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.

Preferred Qualifications

• 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.