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.
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 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 |
|---|---|---|
| Risk Management – Credit Risk Officer (Executive Director) This role is for an Executive Director in Risk Management at JPMorgan Chase, focusing on Credit Risk for CIB clients in Latin America. The position involves independent oversight, challenge, and management of credit risk for complex transactions and existing portfolios. Key responsibilities include evaluating credit risk, providing second-line defense challenge, overseeing portfolio monitoring, enhancing market discussions, ensuring governance and controls, partnering with internal stakeholders, leading strategic initiatives, and leveraging technology and data analytics. The role also involves developing team members through coaching and mentoring. While the role mentions adopting AI-enabled productivity tools and leveraging modern credit technology and data/analytics, its core function is credit risk management, not AI/ML development. | — | 0 |