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American Express

Senior AI Engineer – Enterprise Architecture

American Express

. Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances .

Posted 9/21/2026full-timePhoenix • Arizona • United StatesSenior💰 $123,000 - $215,250 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing LLM-powered systems and agentic AI solutions, with a strong focus on reliability, correctness, and customer outcomes. Proficient in modern software engineering practices, cloud infrastructure, and data management in regulated environments.

Highest-signal resume keywords
LLM DevelopmentAgentic AI SystemsCloud Infrastructure (AWS/GCP)Production-Grade RAG PipelinesSoftware Engineering (5+ Years)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonGoTypeScriptAPIsData PipelinesCloud InfrastructureLLM ToolingSchema ValidationState ManagementAgent Orchestration
Soft Skills
Strong Sense of OwnershipCustomer OrientationComfort with AmbiguityTechnical Judgment
Tools & Technologies
AWSGCPKubernetesRESTGRPCKafkaVector StorageEvaluation ToolingMonitoring Tooling
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
FintechRegulated IndustriesAI-Powered SystemsAgentic PatternsOpen-Source Contributions

Tech Stack

Tools & technologies
AWSCloudGoogle Cloud PlatformGRPCKafkaKubernetesPythonTypeScriptGo

About the role

Key responsibilities & impact
  • Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances
  • Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure
  • Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety
  • Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling
  • Own production systems, including reliability, latency, cost, and failure modes
  • Work closely with product and design partners, focusing on customer outcomes
  • Operate in a modern, enterprise-scale environment with a strong emphasis on agentic AI
  • Use Python, Go, TypeScript, AWS and/or GCP, Kubernetes, REST, gRPC, Kafka, LLMs, agent orchestration, retrieval-augmented generation, vector storage, evaluation, schema validation, and state management

Requirements

What you’ll need
  • 5+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems
  • Track record of shipping AI-powered or agentic systems that real users depend on
  • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure
  • Hands-on experience with modern LLM tooling and agentic patterns and architectures
  • Fluency with AI-assisted and agentic development workflows
  • Strong sense of ownership and sound technical judgment
  • Comfort operating with ambiguity and turning it into shipped reliable product
  • Strong product mindset and customer orientation
  • Bachelor's Degree
  • Preferred: experience building agentic systems in fintech or other regulated industries
  • Preferred: experience as a founding engineer or early technical contributor in high-growth environments
  • Preferred: demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on
  • Preferred: meaningful open-source contributions, particularly in AI or developer tooling

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