Senior AI Engineer I

American Express
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Ownership","Technical judgment","Customer orientation","Product mindset","Turning ambiguity into shipped solutions"]

Design, build, and ship LLM-powered and agentic product features that help customers manage their finances. Own production systems with strong requirements for reliability, latency, cost, and graceful failure recovery. Architect and implement production-grade RAG pipelines over sensitive financial data, while contributing to shared AI infrastructure such as LLM services, agent orchestration frameworks, and evaluation/monitoring tooling.

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FursaFursa
American Express
American Express
1 month ago

Senior AI Engineer I

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Design, build, and ship LLM-powered and agentic product features that help customers manage their finances. Own production systems with strong requirements for reliability, latency, cost, and graceful failure recovery. Architect and implement production-grade RAG pipelines over sensitive financial data, while contributing to shared AI infrastructure such as LLM services, agent orchestration frameworks, and evaluation/monitoring tooling.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and ship LLM-powered and agentic product features for financial management use cases.
  • •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.
  • •Own deployed systems in production, ensuring reliability, latency, cost, and managing failure modes.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityAnnual BonusRetirementHybrid WorkParental LeaveCounseling Support

Key Requirements

  • •5+ years of software engineering experience with meaningful production experience building LLMs or applied ML systems.
  • •Track record shipping AI-powered or agentic systems that real users depend on.
  • •Strong engineering fundamentals across backend systems, APIs, and data pipelines with 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:5+ yearsFintechRegulated industriesOpen sourceAI toolingDeveloper tooling
Education:Bachelor's
Skills:OwnershipTechnical judgmentCustomer orientationProduct mindsetTurning ambiguity into shipped solutions
Tech Stack:PythonGoTypeScriptAWSGCPKubernetesRESTGRPCKafkaLLMsAgentic AIRAGVector storageEvaluationMonitoringSchema validationRetrieval-augmented generation

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
WebsiteLinkedIn