Senior Agentic AI Engineer II - Global Infrastructure

American Express
New York, Phoenix
Workplace: HybridFull timeUSD 123,000 - 215,250 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Mentoring","Collaboration","Problem-solving","Leadership","Decision-making"]

Lead the development of agentic AI and natural language processing solutions that translate complex business requirements into scalable machine learning models. Build and optimize large-scale Big Data pipelines and AI systems, deploy LLM-based capabilities, and establish MLOps for monitoring and maintenance. Drive implementation of NLP classification and distributed AI platforms integrating multiple models, retrieval pipelines, orchestration, and evaluation—while enforcing AI reliability, safety, explainability, observability, and compliance.

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FursaFursa
American Express
American Express
1 day ago

Senior Agentic AI Engineer II - Global Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead the development of agentic AI and natural language processing solutions that translate complex business requirements into scalable machine learning models. Build and optimize large-scale Big Data pipelines and AI systems, deploy LLM-based capabilities, and establish MLOps for monitoring and maintenance. Drive implementation of NLP classification and distributed AI platforms integrating multiple models, retrieval pipelines, orchestration, and evaluation—while enforcing AI reliability, safety, explainability, observability, and compliance.
Location: New York, Phoenix
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Supervise and mentor AI engineers and cross-functional colleagues, ensuring adherence to best practices.
  • •Integrate AI models into production systems in collaboration with cross-functional teams.
  • •Design and develop AI/machine learning frameworks and generative AI capabilities, including prompt engineering and NLP.
  • •Build and optimize Big Data pipelines and AI-based systems, including ETL and automated operations pipelines.
  • •Establish AI standards for reliability, safety, explainability, observability, and regulatory compliance; address model governance, security, and issues.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability401kParental LeaveFinancial Coaching

Key Requirements

  • •Bachelor’s degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred.
  • •Experience in software development focused on machine learning, generative AI, Big Data, and prompt engineering.
  • •Hands-on experience with large language models (LLMs), including GPT-3.5/4 or similar models.
  • •Experience deploying AI models and pipelines using machine learning operations tools, including continuous integration/continuous deployment and containerized deployments.
  • •Experience architecting and deploying large-scale AI systems in production environments and working with distributed AI platforms and cloud-native AI services.
Experience:Generative AIMachine learningBig DataPrompt engineeringNatural language processingLLMsMLOpsCloud-native
Education:Bachelor's in Computer Science, Machine Learning, Data Science
Skills:MentoringCollaborationProblem-solvingLeadershipDecision-making
Tech Stack:PythonBig DataHadoopSparkNatural language processingFuzzy wuzzyBERTTransformer modelsGPT-3.5GPT-4Machine learning operationsCI/CDContainersLLMsRetrieval pipelinesOrchestration frameworks

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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