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JPMorganChase

Lead Machine Learning Engineer - Agentic Pricing

Published · Updated

Pay not postedJersey City, NJSenior

Lead the design, productionization, and operation of LLM-powered agents on JPMorganChase’s NEO runtime across Corporate & Investment Bank and Payments use cases.

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View posting at JPMorganChase

At a glance

Posted base pay

Not posted

The work

Builds for teams inside the company

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
Internal teams
Level
Senior
Role
Individual contributor

What they ask for

Experience

  • 7+ yearsdevelopment experience
  • 4+ yearsworking on AI/ML solutions

Tools

  • NEO
  • AWS
  • Azure
  • Databricks
  • MCP
  • Kubernetes
  • Snowflake
  • Splunk
  • Python
  • OpenSearch

Less common in FDE jobs

  • Who you build for: Internal teams14%
  • Covers proofs of concept40%
  • Individual contributor or manager: Individual contributor49%

Share of US FDE postings that state each fact.

What you’ll do

  • Design and ship production agents on NEO from prototype through production
  • Build production-grade retrieval, grounding, and agent memory systems
  • Compose multi-agent workflows using A2A and MCP integrations
  • Build evaluations, regression suites, guardrails, and release-quality gates

What you’ll bring

  • Minimum 7 years of development experience, including at least 4 years working on AI/ML solutions
  • Production experience building LLM-powered or agentic applications with tracing, evaluations, and guardrails
  • Strong Python programming and foundations in algorithms, machine learning, information retrieval, and statistics
  • Practical RAG experience with retrieval quality, embeddings, and vector stores

View posting at JPMorganChase

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Pay and conditions

Posted pay
Pay not posted
Location
Jersey City, NJ
Experience requirements
  • 7+ years: development experience (required)
  • 4+ years: working on AI/ML solutions (required)

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