Senior AI Engineer

American Express

. Build and iterate on Generative AI applications, including retrieval-augmented generation (RAG) systems and lightweight agent workflows .

Posted 9/16/2026full-timePhoenix • Arizona • United StatesSenior💰 $123,000 - $215,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying Generative AI applications, particularly with LLMs and data pipelines, while ensuring system reliability and operational effectiveness in production environments.

Highest-signal resume keywords

Generative AI Application DevelopmentData Pipeline DevelopmentLLM-Based ApplicationsCloud Deployment (Docker, Kubernetes)AI/ML Tooling (LangChain, Hugging Face)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoData Pipeline DevelopmentLLM Application DevelopmentVector Database ExperienceObservability TechniquesAPI DevelopmentMicroservices ArchitectureFull-Stack DevelopmentITIL Data Management

Soft Skills

CollaborationPrototypingProblem-Solving

Tools & Technologies

DockerKubernetesLangChainHugging FaceVector Databases

Industry Keywords

Generative AIIncident ManagementOperational DataRAG SystemsAI-Driven Use Cases

Tech Stack

Tools & technologies

CloudDockerKubernetesMicroservicesPythonGo

About the role

Key responsibilities & impact

Build and iterate on Generative AI applications, including retrieval-augmented generation (RAG) systems and lightweight agent workflows
Develop data pipelines that bring together logs, metrics, and operational data to support AI-driven use cases
Prototype quickly and help transition successful ideas into production-ready tools
Apply LLMs, embeddings, and vector databases to solve problems in incident management and system operations
Collaborate with engineers and product partners to identify high-impact opportunities for AI in production environments
Contribute to deployment, monitoring, and ongoing improvement of AI-powered systems
Design and scale AI systems in real-world production environments
Build reliable, observable systems with measurable effectiveness and outcomes
Work across teams to turn ideas into adopted mainstream solutions

Requirements

What you’ll need

2–5 years of software engineering or data engineering experience
Hands-on experience building solutions with demonstrated results using LLM-based applications (RAG, chatbots, or similar)
Proficiency in Python (preferred) or Go
Understanding of data pipelines and working with structured and unstructured data
Familiarity with modern AI/ML tooling (e.g., LangChain, Hugging Face, or similar ecosystems)
Experience deploying applications in cloud or containerized environments (Docker, Kubernetes, etc.)
Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship
Preferred: experience with vector databases, traditional databases and warehouses, and embedding-based retrieval
Preferred: exposure to observability and/or operational data (logs, metrics, tracing)
Preferred: experience with ITIL data, particularly incident, problem, and change
Preferred: familiarity with APIs, microservices, or full-stack development
Preferred: interest in applying AI to system reliability and operational effectiveness

Benefits

Comp & perks

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities