American Express

1 month ago

AI Engineer III - Agentic AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Build and ship production agentic AI features that run on real financial data and support customers in a regulated environment. Design and implement LLM-powered workflows, retrieval-augmented generation (RAG) pipelines, and shared AI infrastructure such as orchestration and evaluation/monitoring tooling. Participate in system design discussions and operate deployed AI systems, improving reliability and performance while partnering with product and design teams.

Location: Phoenix

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Contribute to the design and implementation of LLM-powered and agentic product features.
•Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance.
•Implement and maintain retrieval-augmented generation (RAG) pipelines over financial data with a focus on correctness and safety.
•Contribute to shared AI infrastructure including LLM services, orchestration components, and evaluation/monitoring tooling.
•Operate AI systems in production by monitoring, debugging, and improving reliability and performance.

Pay and Benefits

Salary: USD 103,750 - 174,750 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability Benefits401kPaid ParentalPaid Leave

Key Requirements

•4+ years of professional software engineering experience.
•Hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems.
•Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript).
•Familiarity with APIs, basic cloud concepts, and modern development practices.
•Interest in agentic AI systems, autonomy, and AI-assisted development workflows.

Experience:4+ yearsFintechFinancial servicesRegulated environments

Skills:TeamworkCollaborationTechnical ownershipLearning mindsetCustomer mindset

Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaLLMsRAGPrompt engineeringAgent frameworksVector storageSchema validationAI-assisted development tools

Eligibility

Work Authorization:Sponsorship available.

Company Brief

American Express

Industry: Payments

Website

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American Express

1 month ago

AI Engineer III - Agentic AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Phoenix

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Contribute to the design and implementation of LLM-powered and agentic product features.
•Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance.
•Implement and maintain retrieval-augmented generation (RAG) pipelines over financial data with a focus on correctness and safety.
•Contribute to shared AI infrastructure including LLM services, orchestration components, and evaluation/monitoring tooling.
•Operate AI systems in production by monitoring, debugging, and improving reliability and performance.

Pay and Benefits

Salary: USD 103,750 - 174,750 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability Benefits401kPaid ParentalPaid Leave

Key Requirements

•4+ years of professional software engineering experience.
•Hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems.
•Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript).
•Familiarity with APIs, basic cloud concepts, and modern development practices.
•Interest in agentic AI systems, autonomy, and AI-assisted development workflows.

Experience:4+ yearsFintechFinancial servicesRegulated environments

Skills:TeamworkCollaborationTechnical ownershipLearning mindsetCustomer mindset

Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaLLMsRAGPrompt engineeringAgent frameworksVector storageSchema validationAI-assisted development tools

Eligibility

Work Authorization:Sponsorship available.

Company Brief

American Express

Industry: Payments

Website