AI Engineer II – Enterprise Architecture

American Express

. Contribute to the design and implementation of LLM-powered and agentic product features .

Posted 10/9/2026full-timePhoenix • Arizona • United StatesJuniorMid-Level💰 $89,250 - $150,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and implementing LLM-powered features and AI workflows, with a strong foundation in backend programming languages such as Python, Go, or TypeScript. Capable of collaborating with cross-functional teams to translate customer needs into effective technical solutions while maintaining a focus on reliability and performance in AI systems.

Highest-signal resume keywords

LLM-Powered Feature DevelopmentBackend Programming (Python, Go, TypeScript)AI Workflow ImplementationRetrieval-Augmented Generation (RAG)Collaboration in Cross-Functional Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI-Powered FeaturesLLM-Based ApplicationsApplied Machine Learning SystemsAPI DevelopmentCloud ConceptsPrompt EngineeringAgent Frameworks

Soft Skills

Customer MindsetCuriosityWillingness to LearnCollaboration

Tools & Technologies

AI InfrastructureMonitoring ToolsDebugging Tools

Industry Keywords

FintechRegulated EnvironmentsOpen-Source ContributionsHackathons

Tech Stack

Tools & technologies

CloudPythonTypeScriptGo

About the role

Key responsibilities & impact

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, emphasizing 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 to translate customer needs into technical solutions

Requirements

What you’ll need

2+ years of professional software engineering experience
Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems
Solid engineering fundamentals in at least one backend language: Python, Go, or TypeScript
Familiarity with APIs, basic cloud concepts, and modern development practices
Interest in agentic AI systems, autonomy, and AI-assisted development workflows
Willingness to learn, take feedback, and grow technical ownership over time
Comfort working in collaborative, cross-functional teams
Strong customer mindset and curiosity about real-world problem solving
Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects preferred
Internship or early-career experience in fintech or other regulated environments preferred
Contributions to open-source projects, hackathons, or AI/developer-tooling side projects preferred

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