Applied AIML Lead Vice President

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 17 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $186k

$132k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $151,125–$220,900.

Based on 240 similar postings.

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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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Applied AIML Lead Vice President

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As the Applied AIML Lead - Vice President within the Technology & Data team, you will drive the strategy and execution of enterprise-wide AI initiatives for Asset & Wealth Management. You will architect and deploy scalable, secure AI/ML infrastructures, build prototypes, optimize data pipelines, and develop APIs or microservices to integrate AI solutions into business workflows. Your daily work involves collaborating with executive leadership and cross-functional teams to translate requirements into technical reality while establishing standards for model governance, security, and ethical practices. You will utilize Python, Java, or C++ alongside frameworks like TensorFlow and PyTorch to build applications involving NLP, computer vision, and predictive analytics. The role focuses on solving complex business challenges through digital modernization, managing MLOps pipelines across cloud platforms like AWS, Azure, or GCP, and fostering a data-driven culture through team upskilling.

Skills

AI Machine Learning Deep Learning NLP Computer Vision Python Java C++ TensorFlow PyTorch Agent Development AWS Azure GCP MLOps Microservices Distributed Systems Data Pipelines Agile Data Governance

What you'll do

Develop and implement a comprehensive AI transformation roadmap aligned with organizational goals.
Architect, design, and deploy scalable, secure AI/ML infrastructures and application stacks.
Build prototypes, optimize data pipelines, and develop APIs for AI integration.
Evaluate and implement emerging AI tools and methodologies to maintain technological leadership.
Champion change management and create learning paths to upskill teams in AI literacy.
Define and track KPIs to measure the success and ROI of AI initiatives for executive leadership.
Establish and enforce standards for data quality, model governance, security, and ethical AI practices.

What we're looking for

Master’s or PhD degree in a quantitative discipline such as Computer Science, Engineering, Mathematics, or Data Science.
6+ years of experience in software development and technical leadership roles.
Proven hands-on experience developing and deploying AI/ML solutions in production environments and leading large-scale transformation projects.
Proficiency in Python, Java, or C++ and experience with AI/ML frameworks like TensorFlow or PyTorch.
Deep understanding of machine learning, deep learning, NLP, computer vision, and predictive analytics.
Experience with cloud platforms (AWS, Azure, GCP), MLOps pipelines, and distributed systems.
Exceptional communication skills to articulate complex technical concepts to non-technical audiences and lead cross-functional teams.
Prior experience in enterprise AI transformation, data governance, agile methodologies, or published research in AI/ML fields (preferred).