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AI Engineer III

American Express
Sunrise, USA
Full-time
Mid · 3+ years experience
Hybrid
Discovered Today
PythonJava

Full Job Posting

Qualifications

  • 3 to 5+ years of software development experience with a proven track record of building data-driven products.
  • Languages: Proficiency in Python (specifically for ML/AI) and/or Java
  • AI/ML Tools: Hands-on experience with frameworks like Airflow, MLFlow, and LLM engineering (RAG, fine-tuning, AI agents)
  • APIs and services: REST, gRPC
  • Distributed systems: event-driven architectures, including Kafka
  • Education: A BS or MS degree in Computer Science, Computer Engineering, or a similar discipline
  • Key Performance Signals
  • Independence: Operates with high autonomy, driving work from problem definition to delivery with minimal guidance
  • Architectural Influence: Moves beyond syntax to focus on broader architectural design, such as designing scalable data platforms and evaluating processing trade-offs.
  • Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

Responsibilities

  • As an AI Engineer III – Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers. You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering.
  • You will write production code, contribute to system design discussions, and help operate what you build after launch, with support and guidance from more senior engineers.
  • Contribute to the design and implementation of LLM-powered and agentic product features.
  • Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers.
  • Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety.
  • Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling.
  • Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance.
  • Collaborate closely with product and design partners, learning to translate customer needs into technical solutions.
  • AI-assisted development
  • AI Coding Assistants: Qualified candidates should demonstrate responsible, hands-on use of Claude and Codex to accelerate code generation, review, testing, and documentation while validating outputs for security, reliability, and correctness.
  • Apply tools responsibly while maintaining production-quality standards and ethics
  • All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.
  • As an AI Engineer III – Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers.
  • You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering.

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