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 |
|---|---|---|
| Product Manager - Customer Onboarding (Agentic AI Specialist) Product Manager for Customer Onboarding in Consumer Banking, focusing on AI capabilities. The role involves defining product strategy, leading development of new offers and account opening features, and driving the adoption of AI, including prompt-building and workflow automation using Agent Builder. Key responsibilities include identifying AI use cases, designing automated workflows with guardrails and monitoring, establishing AI standards, and partnering with cross-functional teams. Requires strong prompt engineering skills and experience with AI product practices in a regulated environment. | Agent | 7 |
| Vice President - Product Manager - Machine Learning & Intelligent Operations Product Manager for JPMorgan Chase's Machine Learning & Intelligent Operations (MLIO) team, focusing on transforming customer service and personalization using AI/ML. The role involves defining product strategy, leading cross-functional teams, and driving product value for millions of customers. |
| Ship |
| 7 |
| Operations Automation Associate This role is responsible for delivering analytics products and AI capabilities, focusing on GenAI and agentic AI patterns. The role involves translating business needs into requirements, building data foundations, designing and deploying LLM/agentic AI use cases with governance and human-in-the-loop controls, and establishing evaluation frameworks. It requires strong Python, data engineering, SQL, RAG, and MLOps skills, with a focus on responsible AI practices within a financial services domain. | AgentData | 7 |
| Product Manager - MLIO Knowledge Management Product Manager for an AI/ML team at JPMorgan Chase, focusing on knowledge management. The role involves defining and executing an AI/ML product roadmap to deliver knowledge content via APIs and services, leading cross-functional teams (analysts, data engineers, data scientists), and partnering with various departments. Requires experience in product management, knowledge management, AI/ML, and agile environments, with a preference for experience with GenAI, RAG, and AI Agents. | AgentData | 7 |
| Senior Product Associate - Employee Platforms (AI Tooling, RAG, LLM) Senior Product Associate role focused on developing and launching AI-enabled internal capabilities and experiences within JPMorgan Chase's Employee Platforms. The role involves identifying product opportunities, running discovery loops, and leveraging AI (LLMs, RAG, agents) as a core toolset across the product lifecycle. Requires a hands-on approach, collaboration with engineering and data science, and a strong understanding of LLM application concepts and AI quality signals. | Agent | 7 |
| Executive Director - Senior AI Product Manager Senior AI Product Manager at JPMorgan Chase in Fintech, focusing on driving AI adoption, designing agentic workflows, and managing AI-powered products within Wholesale Lending Services. Requires significant product management and AI experience, with a deep understanding of prompt engineering and agentic workflows. | Agent | 7 |
| Credit Risk Innovation VP - Corporate & TCIO This role focuses on developing and launching innovative credit risk analytics products within a banking context, leveraging AI/ML, LLMs, and automation. The VP will lead the end-to-end product lifecycle, architect platforms, integrate advanced risk models, and collaborate with cross-functional teams. Key responsibilities include product ideation, user story mapping, MVP definition, launch, and iteration, with a strong emphasis on data-driven, scalable, and regulatory-compliant solutions. The role involves hands-on experience with Python/PySpark, cloud technologies, and agile methodologies, and a solid understanding of credit risk and banking products. | AgentData | 7 |