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 |
|---|---|---|
| Asset Management- Equity Quantitative Researcher - Vice President Quantitative Equity Researcher (VP) at JPMorgan Asset Management, focusing on developing novel alpha signals and enhancing return forecasting models using advanced statistical, econometric, and machine learning techniques on large datasets. The role involves research in portfolio construction and risk management, translating insights into investment strategies, and collaborating with technology teams for model integration. | Data | 7 |
| Wealth Management , Chief Investment Officer Portfolio Analytics Team, Vice President This role focuses on quantitative research within Wealth Management, developing and maintaining models for asset allocation, portfolio construction, risk management, and performance attribution. It involves applying statistical and machine learning techniques to large datasets and collaborating with portfolio managers and other stakeholders. The role requires strong Python programming skills and a background in quantitative fields. |
| Post-train |
| 7 |
| Risk Management - Model Risk Program Associate This role focuses on validating and governing AI/ML models, including Generative AI and LLMs, within a financial services context. The associate will conduct independent model validation, assess adherence to development standards, identify risks, and communicate findings. A key responsibility is designing, building, and testing LLM-based use cases to improve internal processes, involving prompt engineering, RAG architectures, and agentic AI systems. The role requires a strong quantitative background, experience in model validation or development, proficiency in Python and ML libraries, and experience with Generative AI applications. | ShipAgent | 7 |
| Compliance - Quant Modeling Senior Associate (Fair Lending) - Associate This role focuses on applying quantitative modeling and statistical analysis to ensure fairness and compliance in line-of-business models, including traditional, ML/AI, and Gen AI models, within a regulated financial environment. The primary goal is to detect and mitigate bias to comply with Fair Lending Laws and regulations. | Post-train | 7 |
| Vice President-AI Cognitive Engineer Lead This role focuses on engineering multimodal human-AI systems that optimize decision-making, information flows, and human-agent interactions by applying principles of cognitive engineering and human factors. The engineer will conduct cognitive task analyses, translate insights into requirements for AI agents and decision support tools, model human cognitive states, and design/evaluate cross-modal systems, with a focus on trust calibration and cognitive fit. Experience with evaluating multimodal AI/ML systems is required. | AgentEval Gate | 7 |
| Applied AI ML Associate - Payments Operations Associate role focused on developing, deploying, and monitoring machine learning applications and models within the Payments Operations team at JPMorgan Chase. The role involves identifying automation opportunities, processing multimodal data, building ML models, and ensuring their productionization and evaluation, with a strong emphasis on translating business needs into technical solutions and managing projects from inception to production. | Ship | 7 |
| Lead Software Engineer - GenAI, AWS, Java/Python Lead Software Engineer focused on Generative AI and Agentic frameworks within JPMorgan Chase's Asset and Wealth Management division. The role involves developing and implementing GenAI solutions, architecting complex AI models, utilizing Java/Python, React/Angular, and AWS, and working with LLM models and agentic tools. Emphasis on system design, testing, operational stability, and agile methodologies for AI projects. | Agent | 7 |
| User Experience Design, Vice President - AI for CIB Operations This role focuses on designing and developing Conversational AI chat tools and natural language interfaces for Operations Teams within JPMorgan Chase's CIB Operations. The Vice President Experience Design Lead will shape user experiences, lead strategic initiatives, and collaborate with AI/ML engineers and product managers to integrate user-centered design into AI-driven solutions, aiming to enhance efficiency and employee experience. | Agent | 7 |
| Securitized Products Group - Business AI Strategist - Vice President This role focuses on designing, developing, and implementing AI-based tools, models, and agents to streamline workflows and improve decision-making within the Securitized Products Group at JPMorgan Chase. The strategist will collaborate with various internal partners, lead AI solution adoption, and ensure compliance with regulatory requirements. | Agent | 7 |