AI Engineer – Global Servicing Technology

American Express

. Develop production agentic AI systems operating on real financial data and serving real customers .

Posted 11/12/2026full-timeSunrise • Florida • United StatesMid-LevelSenior💰 $89,250 - $150,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI systems with a focus on financial data, ensuring high standards for reliability, security, and performance. Proficient in Python and Java, with hands-on experience in LLM engineering and data-driven product development.

Highest-signal resume keywords

Python Proficiency For ML/AILLM EngineeringAirflow ExperienceDistributed Systems KnowledgeData-Driven Product Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development ExperienceMachine LearningAI Systems DevelopmentRAG ImplementationCode GenerationSystem DesignDebuggingPerformance MonitoringEvent-Driven ArchitectureAPI Development

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

AirflowMLFlowClaudeCodexKafkaREST APIsGRPC

Certifications & Qualifications

BS Or MS Degree In Computer ScienceEmployment Eligibility In The United States

Industry Keywords

Agentic AIFinancial DataProduction CodeAI-Powered FeaturesReliability StandardsSecurity StandardsAuditability

Tech Stack

Tools & technologies

AirflowDistributed SystemsGRPCJavaKafkaPython

About the role

Key responsibilities & impact

Develop production agentic AI systems operating on real financial data and serving real customers
Work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features
Write production code and contribute to system design discussions
Help operate systems after launch
Design and implement LLM-powered and agentic product features
Build and extend agentic AI workflows that reason over context, call tools, and perform actions
Implement and maintain retrieval-augmented generation (RAG) pipelines over financial data
Contribute to shared AI infrastructure, including LLM services, orchestration components, and evaluation or monitoring tooling
Monitor, debug, and improve the reliability and performance of production AI systems
Collaborate with product and design partners to translate customer needs into technical solutions
Apply AI coding assistants responsibly while maintaining production-quality standards and ethics
Build systems meeting high standards for reliability, security, and auditability

Requirements

What you’ll need

3 to 5+ years of software development experience with a proven track record of building data-driven products
Proficiency in Python specifically for ML/AI and/or Java
Hands-on experience with Airflow, MLFlow, and LLM engineering, including RAG, fine-tuning, and AI agents
Experience with REST and gRPC APIs and services
Experience with distributed systems and event-driven architectures, including Kafka
A BS or MS degree in Computer Science, Computer Engineering, or a similar discipline
Employment eligibility to work with American Express in the United States; the company will not pursue visa sponsorship
Responsible, hands-on use of Claude and Codex for code generation, review, testing, and documentation, with validation for security, reliability, and correctness

Benefits

Comp & perks

Bonus
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