AI Engineer III

American Express
Gurugram
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 6-8 yearsEducation: bachelorsSkills: ["Problem-solving","Analytical thinking","Communication","Collaboration"]

Build and ship production agentic AI systems that operate on real financial data and support real customers. You’ll design, implement, and integrate GenAI workflows (including LLM-based orchestration, tool calling, and RAG) with enterprise data platforms and APIs. Work with engineers, product managers, and designers in a regulated, customer-facing environment, while also contributing to evaluation, shared frameworks, and post-launch operations.

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FursaFursa
American Express
American Express
21 hours ago

AI Engineer III

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and ship production agentic AI systems that operate on real financial data and support real customers. You’ll design, implement, and integrate GenAI workflows (including LLM-based orchestration, tool calling, and RAG) with enterprise data platforms and APIs. Work with engineers, product managers, and designers in a regulated, customer-facing environment, while also contributing to evaluation, shared frameworks, and post-launch operations.
Location: Gurugram
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and implement AI and agentic AI solutions to improve customer engagement, sales effectiveness, and operational efficiency across enterprise CRM platforms.
  • •Build intelligent LLM-powered workflows using enterprise data and tool integrations to automate customer and business processes.
  • •Develop production-ready GenAI applications using RAG, prompt engineering, and AI-powered business workflows.
  • •Build and maintain scalable data pipelines and AI solutions using GCP services such as BigQuery, Composer (Airflow), and DataProc.
  • •Ensure AI applications comply with enterprise security, governance, responsible AI, and operational standards, collaborating with cross-functional stakeholders to translate requirements into solutions.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementAnnual BonusParental LeaveFlexible WorkLearning BudgetCounseling Support

Key Requirements

  • •6-8 years of experience in software engineering, machine learning engineering, data engineering, or applied AI.
  • •Hands-on experience building or integrating GenAI applications using Large Language Models (LLMs).
  • •Experience with agentic AI concepts such as orchestration frameworks, tool calling, context management, or multi-step AI workflows.
  • •Understanding of Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and LLM evaluation techniques.
  • •Strong programming skills in Python and experience building backend services, APIs, and data pipelines.
Experience:6-8 yearsMachine learning engineeringData engineeringApplied AIGenAI
Education:Bachelor's
Skills:Problem-solvingAnalytical thinkingCommunicationCollaboration
Tech Stack:PythonLarge Language Models (LLMs)GenAIAgentic AIOrchestration frameworksTool callingContext managementMulti-step AI workflowsRetrieval-Augmented Generation (RAG)Vector databasesPrompt engineeringLLM evaluationAPIsGoogle Cloud Platform (GCP)BigQueryComposer (Airflow)DataProcCloud StorageCI/CDDocker

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