JPMorgan Chase
Banking · Banking
- HQ
- New York City, US
- Founded
- 2000
- Size
- 270,000+
- Website
- jpmorganchase.com
Currently tracking 269 active AI roles, down 14% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $147k–$285k (avg $220k).
JPMorgan Chase has 448 active AI-related job listings. The majority of these roles, 55%, are focused on agents, with application roles making up another 17%. The dominant function for these positions is Engineering, with a significant number of roles also in Product. The company is primarily hiring in the United States, followed by the United Kingdom and India. Frequent tech tags include agent_orchestration, llm_observability, and model_serving. In the last 30 days, JPMorgan Chase posted 275 new AI roles, representing a 76% increase compared to the previous 30-day period.
Banking · Banking
JPMorgan Chase currently has 450 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (8), Applied AI ML-Vice President (4), Applied AI/ML Lead (4), Data Scientist [Multiple Positions Available] (4), Applied AI ML Lead (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (57%), application (18%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
JPMorgan Chase is hiring AI talent in: United States (303 roles), United Kingdom (61 roles), India (57 roles), Singapore (19 roles).
Job postings at JPMorgan Chase most frequently mention: Machine Learning, Agentic Systems, Statistics, Large Language Models (LLMs), Data Science.
In the past 30 days, JPMorgan Chase has posted 247 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Client Onboarding Middle Office - Associate This role focuses on client onboarding and KYC (Know Your Customer) processes within a financial institution. The associate will manage the end-to-end onboarding journey, partner with internal teams, ensure regulatory compliance, and identify process improvements. A key aspect involves applying AI literacy by using approved tools for drafting, summarization, and monitoring workflows, while verifying outputs. | — | 0 |