Senior AI Engineer – Agentic AI

American Express

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

Posted 10/8/2026full-timeUnited 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 auditability in financial services. Proficient in applying AI-assisted development workflows and managing production systems to ensure optimal performance and customer satisfaction.

Highest-signal resume keywords

LLM DevelopmentAgentic AI SystemsPython ProgrammingCloud Infrastructure (AWS/GCP)Backend Systems Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMachine LearningData PipelinesAPIsEvent-Driven ArchitecturesKubernetesRESTGRPCKafkaAI-Assisted Development Workflows

Soft Skills

Strong OwnershipTechnical JudgmentCustomer OrientationComfort with AmbiguityProduct Mindset

Tools & Technologies

TypeScriptGoAWSGCPCircleCIReactKotlinIOS/SwiftAndroid

Industry Keywords

FintechRegulated IndustriesAuditabilityReliabilitySafety Requirements

Tech Stack

Tools & technologies

AndroidAWSCloudGoogle Cloud PlatformGRPCiOSKafkaKotlinKubernetesPythonReactSwiftTypeScriptGo

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 correctness, auditability, and safety requirements
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 and focus on customer outcomes
Apply AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring
Build systems meeting high standards for reliability, security, and auditability in financial services

Requirements

What you’ll need

8+ 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
Experience with Python, Go, TypeScript, AWS and/or GCP, Kubernetes, REST, gRPC, event-driven architectures, and Kafka
Preferred: experience building agentic systems in fintech or regulated industries
Preferred: experience as a founding engineer or early technical contributor in high-growth environments
Preferred: meaningful open-source contributions, particularly in AI or developer tooling
Preferred: experience with React, Kotlin, TypeScript, CircleCI, iOS/Swift, and Android

Benefits

Comp & perks

Bonus
Benefits
Potential visa sponsorship depending on business unit requirements, position, cost, and applicable laws