AI Engineer III

American Express
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Problem-solving","Analytical skills","Communication","Collaboration"]

Build and deploy AI and agentic AI capabilities across enterprise CRM platforms to improve customer engagement and sales effectiveness. Develop GenAI workflows using LLMs, RAG, and prompt engineering, and create scalable data pipelines and production-ready AI applications on Google Cloud Platform. Integrate solutions with enterprise APIs and systems, collaborate with product and engineering teams, and ensure reliability, security, and responsible AI governance.

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FursaFursa
American Express
American Express
1 month ago

AI Engineer III

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build and deploy AI and agentic AI capabilities across enterprise CRM platforms to improve customer engagement and sales effectiveness. Develop GenAI workflows using LLMs, RAG, and prompt engineering, and create scalable data pipelines and production-ready AI applications on Google Cloud Platform. Integrate solutions with enterprise APIs and systems, collaborate with product and engineering teams, and ensure reliability, security, and responsible AI governance.
Location: Bengaluru
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 enhance customer engagement, sales effectiveness, and operational efficiency across enterprise CRM platforms.
  • •Build intelligent LLM-based 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.
  • •Integrate AI applications with enterprise systems and APIs, collaborate with cross-functional teams, and ensure reliability, security, governance, and responsible AI standards.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementParental LeaveCounselingLearning Budget

Key Requirements

  • •3–5+ 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, and multi-step workflows.
  • •Understanding of Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and LLM evaluation techniques.
  • •Strong Python skills and experience developing backend services, APIs, and data pipelines.
Experience:3+ years
Education:Bachelor's
Skills:Problem-solvingAnalytical skillsCommunicationCollaboration
Languages:US
Tech Stack:PythonLarge Language Models (LLMs)GenAIAgentic AIRetrieval-Augmented Generation (RAG)Vector databasesPrompt engineeringLLM evaluationLangChainLangGraphPyTorchTensorFlowScikit-learnGoogle 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