American Express
Senior AI Engineer (GenAI/ LLMs/ Agentic)
Phoenix, AZ · Hybrid · Senior · Full-time · Posted Sep 24, 2026
- Experience
- 7+ years of software engineering or AI development experience; 3+ years of experience with GenAI, LLMs, and agentic workflows.
- Education
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field.
- Visa sponsorship
- American Express may provide visa sponsorship for certain positions.
About the job
Designs and deploys AI agents that analyze security and network telemetry to detect threats, support investigations, and inform operational decisions.
What you'll do
- Build AI agents and multi-agent systems to detect malicious activity, correlate telemetry, and orchestrate response workflows.
- Implement RAG, agent memory, knowledge graph integrations, and AI-powered security analyst copilots.
- Monitor models and improve them over time; provide technical leadership and mentor junior engineers.
What they ask for
- Bachelor's degree in a related technical field.
- Strong programming skills in Python, NoSQL, and REST API.
- Experience with AI agent frameworks such as LangGraph, LangChain, or equivalent; MCP and A2A.
- Understanding of anomaly detection, classification, and clustering; experience with large-scale log, telemetry, network, or security datasets.
Nice to have
- Experience with WAF, bot management, SIEM, or security analytics tools.
- Experience leading technical teams and delivering enterprise-scale AI platforms.
Pay
$123000 - $215250 annually (base salary)
Tools
Python, NoSQL, REST API, LangGraph, LangChain, Model Context Protocol (MCP), A2A, Retrieval-Augmented Generation (RAG)
AI focus
Generative and agentic AI for cybersecurity analytics, including threat detection, anomaly detection, multi-agent reasoning, investigation support, and operational decision support.
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