Senior AI Engineer II – Enterprise Architecture

American Express

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

Posted 10/15/2026full-timeNew York City • New York • 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 features, with a strong focus on reliability, security, and compliance in financial services. Proven ability to collaborate with cross-functional teams to deliver customer-oriented solutions in high-growth environments.

Highest-signal resume keywords

LLM DevelopmentAgentic SystemsCloud Infrastructure (AWS/GCP)Python, Go, or TypeScriptEvent-Driven Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringBackend SystemsAPIsData PipelinesAI-Assisted Development WorkflowsSchema ManagementValidation PracticesState ManagementProduction-Grade RAG PipelinesAgent Orchestration

Soft Skills

Strong Sense of OwnershipTechnical JudgmentCustomer OrientationComfort with Ambiguity

Tools & Technologies

KubernetesRESTGRPCKafkaCommercial LLMsOpen-Source LLMs

Industry Keywords

FintechRegulated IndustriesAuditabilitySafetyHigh-Growth Environments

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
Develop, test, debug, and refactor using AI-assisted and agentic development workflows
Build systems meeting high standards for reliability, security, and auditability in financial services

Requirements

What you’ll need

5+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems
A 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
A strong product mindset and customer orientation
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 (preferred)
Python, Go, or TypeScript
AWS and/or GCP
Kubernetes
REST and gRPC
Event-driven architectures, including Kafka
Commercial and open-source LLMs integrated into agentic workflows
Agent orchestration, retrieval-augmented generation, vector storage, and evaluation tooling
Strong schema, validation, and state management practices
Must meet applicable work authorization requirements; visa sponsorship may be provided for certain positions

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