Senior AI Engineer (GenAI/ LLMs/ Agentic)

American Express
Phoenix
Workplace: HybridFull timeUSD 123,000 - 215,250 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Technical leadership","Mentoring","Anomaly detection","Classification","Clustering"]

Design, build, and deploy agentic AI systems that use large-scale telemetry and security data to detect malicious activity, bot attacks, fraud patterns, API abuse, and network anomalies. Build multi-agent workflows for reasoning, planning, retrieval, and tool use, including RAG, agent memory, and knowledge graph integrations. Create investigative copilots for security analysts, implement monitoring and drift detection, and provide technical leadership.

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FursaFursa
American Express
American Express
1 month ago

Senior AI Engineer (GenAI/ LLMs/ Agentic)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Design, build, and deploy agentic AI systems that use large-scale telemetry and security data to detect malicious activity, bot attacks, fraud patterns, API abuse, and network anomalies. Build multi-agent workflows for reasoning, planning, retrieval, and tool use, including RAG, agent memory, and knowledge graph integrations. Create investigative copilots for security analysts, implement monitoring and drift detection, and provide technical leadership.
Location: Phoenix
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and deploy AI agents to identify malicious activity, bot attacks, account takeover attempts, fraud patterns, API abuse, and network anomalies using large-scale telemetry and security datasets.
  • •Create agents that correlate events across multiple telemetry sources, monitor signals, trigger playbooks, and learn from feedback.
  • •Develop multi-agent systems for reasoning, planning, retrieval, tool usage, and workflow orchestration.
  • •Implement RAG, agent memory, and knowledge graph integrations to improve agent effectiveness.
  • •Create AI-powered copilots/investigative assistants, and implement model monitoring, drift detection, and continuous improvement; mentor junior engineers and define AI development standards.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually
Perks:Health InsuranceDentalVisionLife Insurance401k

Key Requirements

  • •Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field.
  • •7+ years of software engineering or AI development experience.
  • •3+ years of experience with GenAI, LLMs, and agentic workflows.
  • •Strong programming skills in Python, NoSQL, and REST API.
  • •Experience building AI agents using frameworks such as LangGraph, LangChain (or equivalent).
Experience:GenAILLMsAgentic AICybersecuritySecurity analytics
Education:Bachelor's
Skills:Technical leadershipMentoringAnomaly detectionClassificationClustering
Languages:US
Tech Stack:PythonNoSQLREST APILangGraphLangChainModel Context Protocol (MCP)A2ARAGKnowledge graphLayer 3Layer 4WAFSIEMCloudflareAWS ShieldGoogle cloud Armor

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