JPMorgan Chase
Quant Modeling Lead - Vice President
$147K–$215K
Jersey City, NJ · Director · Full-time · Posted Oct 20, 2026
- Experience
- 7+ years of AI/ML experience, with at least 5 years specializing in multi-agent systems, agentic AI architecture, and autonomous agent development.
- Education
- Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
About the job
Leads the design, development, and deployment of multi-agent AI systems for control monitoring, risk management, analytics, and decision support.
What you'll do
- Provide technical leadership on agentic AI and multi-agent system design.
- Build and productionize agent orchestration, coordination, and autonomous reasoning capabilities for control and risk problems.
- Partner with technology teams to integrate and deploy agentic services in enterprise platforms.
What they ask for
- Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of AI/ML experience, including at least 5 years specializing in multi-agent systems, agentic AI architecture, and autonomous agent development.
- Experience deploying production-scale agentic solutions and using agentic AI frameworks such as LangGraph, LangChain Agents, AutoGen, or CrewAI.
- Expertise in multi-agent coordination, agent architectures and reasoning patterns, LLMs, and evaluation frameworks.
Nice to have
- Experience with agent memory systems, safety, alignment, or governance frameworks.
- Familiarity with graph-based workflows, state machines, vector databases, or RAG.
Pay
$147,250.00-$215,000.00 USD base salary
Tools
LangGraph, LangChain Agents, AutoGen, CrewAI, Large Language Models (LLMs), vector databases, retrieval-augmented generation (RAG)
AI focus
Designs and deploys agentic AI systems, including multi-agent orchestration, autonomous reasoning and planning, tool use, and evaluation for control and risk management.
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