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JPMorganChase

Applied AI ML, Associate

Published · Updated

Pay not postedNew York, NYMid-level

Build and deliver autonomous agent and generative AI systems for complex operational workflows at JPMorganChase’s Commercial & Investment Bank.

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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 (not covered)
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
Internal teams
Level
Mid
Role
Individual contributor

What they ask for

Experience

  • 2+ yearsapplied artificial intelligence and machine learning experience

Tools

  • Python
  • AWS SageMaker
  • Amazon Bedrock
  • large language models
  • autonomous agents
  • multi-agent coordination
  • agent orchestration
  • generative AI

Less common in FDE jobs

  • Responsibility level: Mid5%
  • Who you build for: Internal teams14%

Share of US FDE postings that state each fact.

What you’ll do

  • Build generative AI and agent-based solutions for operational workflow automation.
  • Develop and test agent planning, tool-use, and orchestration workflows.
  • Evaluate solutions through testing, error analysis, and quality measurement.
  • Create reusable components to accelerate applied AI delivery.

What you’ll bring

  • 2+ years of applied AI and machine learning experience, with formal training or certification.
  • Bachelor’s degree in a quantitative field or equivalent practical experience.
  • Production-grade Python software development experience.
  • Experience applying machine learning and evaluating results with reproducible metrics.

View posting at JPMorganChase

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Pay and conditions

Posted pay
Pay not posted
Location
New York, NY
Experience requirements
  • 2+ years: applied artificial intelligence and machine learning experience (required)

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