Senior AI Engineer – Agentic, Travel & Lifestyle Services Technology

American Express

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

Posted 11/3/2026full-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 with a strong focus on reliability, security, and customer outcomes. Proficient in architecting production-grade pipelines and operating within regulated environments, ensuring auditability and correctness.

Highest-signal resume keywords

LLM DevelopmentAgentic AI SystemsProduction-Grade RAG PipelinesCloud InfrastructurePython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringBackend SystemsAPIsData PipelinesLLM ToolingAgentic PatternsSchema ValidationState ManagementKafkaGRPC

Soft Skills

Strong OwnershipTechnical JudgmentCustomer OrientationComfort with Ambiguity

Tools & Technologies

AWSGCPKubernetesRESTVector StorageEvaluation ToolingAgent Orchestration

Industry Keywords

FintechRegulated IndustriesOpen-Source ContributionsHigh-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 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, focusing on customer outcomes
Operate in a modern enterprise-scale environment emphasizing agentic AI, reliability, security, and auditability

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
Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship
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
Comfortable with Python, Go, TypeScript, AWS and/or GCP, Kubernetes, REST, gRPC, Kafka, LLMs, agent orchestration, RAG, vector storage, evaluation, schema validation, and state management

Benefits

Comp & perks

Bonus
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