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American Express

Senior AI Engineer

American Express

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

Posted 10/14/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing LLM-powered systems and agentic AI features, with a strong focus on production-grade reliability, customer outcomes, and compliance in regulated environments. Proficient in modern development workflows and cloud infrastructure, ensuring high-quality, scalable solutions.

Highest-signal resume keywords
LLM DevelopmentAgentic AI SystemsProduction-Grade RAG PipelinesCloud Infrastructure (AWS/GCP)Software Engineering (5+ Years)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonGoTypeScriptAPIsData PipelinesKubernetesRESTGRPCKafkaSchema Validation
Soft Skills
Strong Sense of OwnershipCustomer OrientationComfort with Ambiguity
Tools & Technologies
LLM ServicesAgent Orchestration FrameworksEvaluation and Monitoring ToolingVector StorageState Management
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, that scales agentic development across Amex Technology.
  • Own production systems, including reliability, latency, cost, and failure modes.
  • Work closely with product and design partners, focusing on customer outcomes.
  • Use technologies including 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.
  • 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 UK is required; the company will not pursue visa sponsorship for these positions.
  • 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
  • Support for financial well-being and retirement
  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • Generous paid parental leave policies (depending on your location)
  • 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