JPMorgan Chase
Sr Lead Infrastructure Engineer - Python / AI
Plano, TX · Senior · Full-time · Posted Oct 14, 2026
- Experience
- 5+ years of applied infrastructure engineering experience and 7+ years of software engineering experience.
- Education
- Formal training or certification on infrastructure engineering concepts.
About the job
Build and evolve software-defined platforms for JPMorgan Chase’s retail branch network, using Python, AI-native development, and agentic systems to automate and modernize infrastructure.
What you'll do
- Design and develop agentic workflows, MCP tool integrations, and infrastructure automation.
- Analyze complex infrastructure systems, implement modernization changes, and lead complex programs while meeting risk, security, compliance, and resiliency requirements.
- Promote validated, traceable AI-assisted development practices across the team.
What they ask for
- Formal training or certification in infrastructure engineering concepts and 5+ years of applied experience.
- 7+ years of software engineering experience with strong hands-on delivery.
- Production experience building agentic or LLM-integrated systems; working knowledge of multi-agent frameworks and MCP or tool-calling APIs.
- Proficiency in Python; cloud infrastructure experience across public and private clouds; experience using enterprise-authorized AI capabilities with strong validation and data-sensitivity awareness.
Nice to have
- Experience with CDAO Fusion Studio or Fusion SmartSDK.
Tools
Python, C#, .NET, PowerShell, Google ADK, LangGraph, AutoGen, MCP
AI focus
Build production agentic and LLM-integrated systems, design workflows and tool integrations, use authorized AI across the development lifecycle, and establish validated and auditable AI-assisted practices.
Model-written summary · the original posting is authoritative