Applied AI ML Vice President

JPMorgan Chase

Quick summary

Work type
On-site
Location
Jersey City, NJ
Salary
$164,350–$260,000 / yr
Posted
9 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $201k
This role $212k
$138k most similar roles pay here $273k

This role pays more than 65% of similar roles. Most pay $157,200–$244,575 — the shaded band above. At the midpoint, this role pays about $212k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 368 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 198 roles with salary data.

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View all roles at JPMorgan Chase

At a glance

TL;DR · Applied AI ML Vice President

As a Vice President in the Data Science team at JPMorgan Chase, you will lead the development and implementation of advanced AI solutions to drive business value. Your day-to-day responsibilities include designing multi-agent systems, implementing drift monitoring processes, and deploying impactful data-driven applications using cloud technologies and knowledge bases. You will collaborate with product, engineering, and business partners to integrate these solutions into operational workflows, ensuring they are scalable and aligned with business objectives. The role requires expertise in AI/ML algorithms, statistical modeling, and experience with orchestration frameworks like LangGraph and ADK. Ideal candidates have a strong background in data science or related fields, with a minimum of 6 years of experience deploying AI models in large-scale enterprise environments. This position offers the opportunity to innovate alongside a diverse team within a dynamic financial services organization.

What you'll do

  • Lead the end-to-end development of AI models, ensuring they are scalable and aligned with business goals.
  • Design and implement multi-agent systems with HITL controls for efficient task management.
  • Develop robust monitoring processes to maintain model accuracy through continuous retraining.
  • Create evaluation frameworks to measure performance and impact of AI systems.
  • Embed AI into existing workflows to enhance process efficiency and drive innovation.

What we're looking for

  • Minimum 6+ years of experience in data science, analytics, or related field.
  • Proven track record of deploying and managing AI/ML models in large-scale enterprise environments.
  • Expertise in AI/ML algorithms, statistical modeling, and scalable data processing pipelines.
  • Experience with A/B experimentation and production-quality code development.
  • Strong communication skills for conveying technical concepts to both business and technical audiences.
  • Ability to build partnerships and work collaboratively across multiple locations and levels.
  • Proven experience building and deploying multi-agent systems using orchestration frameworks.

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