JPMorgan Chase
Lead Machine Learning Engineer - Agentic Pricing
$171K–$260K
Jersey City, NJ · Full-time · Posted Oct 8, 2026
- Experience
- Minimum 7 years of development experience, with at least 4 years working on AI/ML solutions.
- Education
- MS in Computer Science, Statistics, Mathematics, Machine Learning, or related field (or equivalent experience).
About the job
Designs, ships, and operates production LLM-powered agents on JPMorgan Chase’s NEO platform for business use cases across the Corporate & Investment Bank and Payments.
What you'll do
- Own agents from prototype through production, including retrieval, memory, and permission-aware context management.
- Build multi-agent workflows, tool integrations, and agent evaluations with quality and safety gates.
- Deploy and operate agents on public cloud, partnering with product, business, and engineering teams.
What they ask for
- Minimum 7 years of development experience, including at least 4 years working on AI/ML solutions.
- Production experience building LLM-powered or agentic applications, including tracing, evaluations, and guardrails.
- Strong Python skills and practical RAG experience, including retrieval quality, embeddings, and vector stores.
- Expert knowledge of at least one of AWS, Azure, or Kubernetes.
Nice to have
- Graph RAG, agent frameworks or runtimes, A2A or MCP, and agent memory design.
- Financial or payments domain experience; knowledge graphs, LLM fine-tuning, or Go/Rust.
Pay
USD $171,000.00-$260,000.00 base salary
Tools
NEO, AWS, Azure, Databricks, Python, Kubernetes, Snowflake, Redis
AI focus
Builds and operates production LLM-powered agents, including retrieval-augmented generation, agent memory, multi-agent workflows, and evaluation and safety controls.
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