AI Engineer II – Enterprise Architecture

American Express

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

Posted 9/21/2026full-timeUnited StatesJuniorMid-Level💰 $89,250 - $150,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and extending AI-powered features, particularly with LLMs and agentic systems, while ensuring the reliability and performance of AI workflows. Proficient in Python, Go, and TypeScript, with a strong focus on collaborative problem-solving and customer-centric solutions.

Highest-signal resume keywords

LLM-Powered Feature DevelopmentPython ProgrammingAI Workflow ImplementationCloud Technologies (AWS/GCP)Collaboration in Cross-Functional Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI-Powered FeaturesBackend DevelopmentAPIsRetrieval-Augmented Generation (RAG)Schema ValidationStructured Data HandlingAgent OrchestrationMonitoring and DebuggingPerformance Improvement

Soft Skills

Customer MindsetCuriosityWillingness to LearnFeedback ReceptionCollaboration

Tools & Technologies

PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaAI-Assisted Development Tools

Industry Keywords

Agentic AI SystemsApplied ML SystemsAI InfrastructureFinancial DataModern Development Practices

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformGRPCKafkaKubernetesPythonTypeScriptGo

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
Work with Python, Go, TypeScript, AWS and/or GCP, Kubernetes, REST, gRPC, Kafka, LLMs, agent orchestration, vector storage, evaluation tooling, schema validation, and structured data handling
Use AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring

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 (professional or project-based)
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
A strong customer mindset and curiosity about real-world problem solving
Visa sponsorship may be provided for certain positions depending on business unit requirements, position nature, cost, and applicable laws

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