American Express

3 months ago

Staff AI Engineering - 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

Design, build, and operate production-grade agentic AI systems that power multiple American Express products. Serve as a senior individual contributor driving technical direction across architecture patterns, autonomy boundaries, and system design. Own shared agentic AI capabilities spanning orchestration, RAG pipelines, LLM infrastructure, and safety/observability tooling. Lead technical design reviews, collaborate cross-team from concept to production, and mentor senior engineers.

Location: New York, Phoenix, Charlotte, Palo Alto

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Drive technical direction for agentic AI initiatives, shaping architecture patterns, autonomy boundaries, and system design.
•Design, build, and operate production-grade agentic AI systems used across multiple products.
•Own and evolve shared agentic AI capabilities across agent frameworks, orchestration, planning/tool use/memory, RAG pipelines, and LLM infrastructure.
•Lead technical design reviews and guide teams through tradeoffs involving autonomy, safety, reliability, scalability, and cost.
•Partner across teams to deliver complex agentic AI initiatives and mentor senior engineers to raise the technical bar.

Pay and Benefits

Salary: USD 144,250 - 256,250 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability Benefits401kPaid LeaveParental LeaveRemote Work

Key Requirements

•12+ years building large-scale distributed systems and strong experience with LLM systems, agentic workflows, or advanced ML infrastructure.
•Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
•Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
•Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
•Experience in workflow engines, async processing, queues, and streaming systems.

Experience:FintechSaaSOpen sourceRegulated industries

Skills:Technical leadershipInfluence without authorityMentorJudgmentWork in ambiguous environments

Tech Stack:PythonGoTypeScriptRESTGRPCTRPCAWSGCPKubernetesKafkaLangGraphLangChainAirFlowLLM infrastructureLlamaIndexSemantic KernelCrewAIPyTorchHugging FaceTensorFlow

Company Brief

American Express

Industry: Payments

Website

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American Express

3 months ago

Staff AI Engineering - 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: New York, Phoenix, Charlotte, Palo Alto

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Drive technical direction for agentic AI initiatives, shaping architecture patterns, autonomy boundaries, and system design.
•Design, build, and operate production-grade agentic AI systems used across multiple products.
•Own and evolve shared agentic AI capabilities across agent frameworks, orchestration, planning/tool use/memory, RAG pipelines, and LLM infrastructure.
•Lead technical design reviews and guide teams through tradeoffs involving autonomy, safety, reliability, scalability, and cost.
•Partner across teams to deliver complex agentic AI initiatives and mentor senior engineers to raise the technical bar.

Pay and Benefits

Salary: USD 144,250 - 256,250 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability Benefits401kPaid LeaveParental LeaveRemote Work

Key Requirements

•12+ years building large-scale distributed systems and strong experience with LLM systems, agentic workflows, or advanced ML infrastructure.
•Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
•Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
•Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
•Experience in workflow engines, async processing, queues, and streaming systems.

Experience:FintechSaaSOpen sourceRegulated industries

Skills:Technical leadershipInfluence without authorityMentorJudgmentWork in ambiguous environments

Tech Stack:PythonGoTypeScriptRESTGRPCTRPCAWSGCPKubernetesKafkaLangGraphLangChainAirFlowLLM infrastructureLlamaIndexSemantic KernelCrewAIPyTorchHugging FaceTensorFlow

Company Brief

American Express

Industry: Payments

Website