Staff AI Engineer - Servicing Enablement Platform
Role Overview
American Express is developing enterprise platforms and governance for responsible, scalable agentic AI systems.
The Servicing Enablement Platform team supports case platforms for disputes, fraud servicing, credit, collections, back-office processing, card issuance, and automation.
Key Skills for This Role
Full Job Posting
Role Overview
American Express is developing enterprise platforms and governance for responsible, scalable agentic AI systems.
The Servicing Enablement Platform team supports case platforms for disputes, fraud servicing, credit, collections, back-office processing, card issuance, and automation.
Responsibilities
- Serve as a senior individual contributor defining how agentic AI systems are designed, built, and operated across the company.
- Design core frameworks, write production code, review critical designs, and guide complex technical decisions without routine people-management responsibility.
- Drive technical direction, architecture patterns, autonomy boundaries, production delivery, and cross-platform coordination for agentic AI initiatives.
- Own agent frameworks, orchestration, planning, tool use, memory, retrieval and grounding, LLM infrastructure, evaluation, observability, and safety capabilities.
- Lead design reviews and balance autonomy, safety, reliability, scalability, compliance, and cost.
- Evaluate emerging models and techniques, build proofs of concept, mentor engineers, and provide technical consulting to product teams.
- Partner with product, UX, risk, compliance, cybersecurity, architects, and technology leaders on secure, scalable software solutions.
Core Qualifications
- Experience operating in an enterprise-scale engineering environment with a strong emphasis on agentic AI.
- Experience with Python, Go, or TypeScript, REST or gRPC APIs, cloud infrastructure, Kubernetes, and event-driven distributed systems.
- Experience with Kafka and orchestration frameworks such as LangGraph, LangChain, or Airflow.
- Experience integrating commercial and open-source LLMs into agentic workflows.
- Experience with Pydantic, Zod, or similar schema, validation, and state-management practices.
Preferred Qualifications
- A Computer Science or Information Systems degree, or equivalent experience with at least 8 years of work experience.
- Experience building GenAI solutions and delivering large-scale enterprise systems or products.
- Excellent written and verbal communication skills, including presentations to senior leadership.
- Ability to influence across multiple business and functional lines and support diverse technical talent.
About American Express
American Express emphasizes innovation, customer trust, security, service, risk management, and employee development.
Benefits and working arrangements vary by location and role, including hybrid, onsite, or virtual arrangements.
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