American Express

1 week ago

Senior AI Engineer II - Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Build and ship production-grade agentic AI systems and LLM-powered features that help customers manage their finances. Own end-to-end delivery—from solution shaping with product and design, to writing production code and operating systems after launch. Design RAG pipelines over sensitive financial data, contribute to shared AI infrastructure (LLM services, orchestration frameworks, evaluation/monitoring), and ensure reliability, latency, cost, and failure-mode resilience in a regulated environment.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, build, and ship LLM-powered and agentic product features for customers’ financial workflows.
•Build agentic AI systems that reason over context, invoke tools, take actions, and recover gracefully from failure.
•Architect and implement production-grade RAG pipelines over sensitive financial data with correctness, auditability, and safety requirements.
•Contribute to shared AI infrastructure including LLM services, agent orchestration frameworks, and evaluation/monitoring tooling that scales agentic development.
•Own systems in production, managing reliability, latency, cost, and failure modes while partnering with product and design on customer outcomes.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementParental LeaveCounseling

Key Requirements

•Proven software engineering experience with meaningful production experience with LLMs or applied ML systems.
•Ship 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/architectures.
•Fluency with AI-assisted and agentic development workflows, with strong ownership and technical judgment.

Experience:LLMsAgentic AIFintechRegulated industries

Skills:OwnershipTechnical judgmentProduct mindsetCustomer orientationComfort operating with ambiguity

Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCEvent-driven architecturesKafkaLLMsRAGVector storageEvaluationMonitoringOrchestration frameworks

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express

Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn

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American Express

1 week ago

Senior AI Engineer II - Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, build, and ship LLM-powered and agentic product features for customers’ financial workflows.
•Build agentic AI systems that reason over context, invoke tools, take actions, and recover gracefully from failure.
•Architect and implement production-grade RAG pipelines over sensitive financial data with correctness, auditability, and safety requirements.
•Contribute to shared AI infrastructure including LLM services, agent orchestration frameworks, and evaluation/monitoring tooling that scales agentic development.
•Own systems in production, managing reliability, latency, cost, and failure modes while partnering with product and design on customer outcomes.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementParental LeaveCounseling

Key Requirements

•Proven software engineering experience with meaningful production experience with LLMs or applied ML systems.
•Ship 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/architectures.
•Fluency with AI-assisted and agentic development workflows, with strong ownership and technical judgment.

Experience:LLMsAgentic AIFintechRegulated industries

Skills:OwnershipTechnical judgmentProduct mindsetCustomer orientationComfort operating with ambiguity

Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCEvent-driven architecturesKafkaLLMsRAGVector storageEvaluationMonitoringOrchestration frameworks

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn