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 305 active AI roles, with 1181 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
JPMorgan Chase currently has 445 active AI-related roles in our index. The most common open titles are: Data Scientist [Multiple Positions Available] (7), Lead Software Engineer (6), Applied AI ML-Vice President (4), Applied AI/ML Lead (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (57%), application (17%), serving infrastructure (9%). 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 (299 roles), United Kingdom (64 roles), India (56 roles), Singapore (16 roles).
Job postings at JPMorgan Chase most frequently mention: Machine Learning, Agentic Systems, Statistics, Data Science, Large Language Models (LLMs).
In the past 30 days, JPMorgan Chase has posted 178 new AI-related roles. That is a -35% change versus the prior 30 days (274 → 178).
| Title | Stage | AI score |
|---|---|---|
| Marketing Digital Product Owner, Vice President Product Owner for digital tools for financial advisors in Japan, focusing on roadmap, delivery, and AI-enabled enhancements. The role involves translating business needs into product outcomes, managing an Agile backlog, and collaborating with global and local teams, while considering regulatory requirements. | — | 1 |
| Software Engineer I Entry-level Software Engineer role in the Japan Payments Technology team at JPMorgan Chase, focusing on enhancing, designing, and delivering software components in a secure, stable, and scalable manner. Responsibilities include executing basic software solutions, writing secure code, interpreting architecture, applying automation, addressing code quality, gathering data, and troubleshooting technical tasks within an agile team environment. | — | 0 |
| Lead Technical Program Manager Lead Technical Program Manager for JPMorgan Chase's Enterprise Technology - Electronic Trading Services team in Tokyo. This role focuses on driving the successful delivery of complex technology projects and programs within the financial services sector, requiring deep technical expertise, leadership, and stakeholder management. Responsibilities include interfacing with business units, managing project lifecycles, ensuring fiscal accountability, and managing vendor relationships, with a specialization in technology infrastructure for electronic trading. |
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| Japan Payments Operations - Executive Director Executive Director to lead payments operations at JPMorgan Chase in Tokyo, focusing on transformation, innovation, client experience, and continuous improvement. Responsibilities include leading a team, shaping strategy, ensuring compliance and risk management, collaborating with cross-functional teams, and driving business outcomes. Requires 15+ years of experience in payments/transaction banking, strong leadership, communication, and problem-solving skills, with business proficiency in Japanese and English. | — | 0 |
| Software Engineer II, Post Trade Technology Software Engineer II role in Post Trade Technology at JPMorgan Chase, focusing on middle to back office systems for Corporate and Investment Banking. Responsibilities include application development, 3rd level support, vendor management, project management, and ensuring system resiliency and stability. The role requires strong organizational and bilingual (English/Japanese) communication skills, familiarity with finance areas, and knowledge of Unix/Linux, databases, and MQ/UM. Experience with FinTech or AI/ML is desirable. | — | 0 |
| Lead Infrastructure Engineer – ETS Facilities Engineering & Implementation | — | — |