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 |
|---|---|---|
| Data Domain Architect Lead - Data & Annotation Lead data labeling initiatives for financial industry ML models, focusing on creating reliable datasets, managing annotation operations, and driving innovation in data quality and evaluation, including LLM-as-judge and agentic workflows. | DataAgent | 8 |
| Cyber Intelligence Senior Associate, Threat Intelligence This role focuses on engineering AI-powered threat research systems and applying frontier AI capabilities to discover and analyze cyber threats, accelerating threat research and risk assessment within an enterprise environment. It involves data acumen, automation, and validation of AI outputs. | DataAgent |
| 7 |
| Data Management Senior Associate This role focuses on developing and implementing AI/LLM-based strategies for data governance within the Consumer and Community Banking division of JPMorgan Chase. The primary goal is to manage data risks associated with enterprise data warehouse solutions, including data catalogs, data lakes, and reference data, as the organization transitions to the public cloud. The role involves defining and executing protocols, managing master data management strategies, and collaborating with various stakeholders to ensure data risks are understood and mitigated. | Data | 7 |
| Product Manager, Databricks Experimentation Platform Product Manager for Databricks Experimentation Platform at JPMorgan Chase, focusing on strategy, roadmap, and delivery of scalable, secure, and compliant AI/ML platform features, with deep expertise in feature stores, model experimentation, and lifecycle management within a regulated financial services environment. | DataPost-train | 7 |
| Data and Analytics - Unstructured Data Senior Associate This role focuses on building the foundation for leveraging unstructured data across an organization, including identifying, cataloging, extracting insights, and publishing data from various unstructured sources. It involves partnering with teams to define use cases, designing governance frameworks, evaluating emerging AI technologies like NLP, computer vision, and LLMs, and developing business cases and roadmaps. The role also involves mentoring junior members and ensuring compliance with regulatory requirements. | DataAgent | 7 |
| Software Engineer [Multiple Positions Available] Software Engineer role at JPMorgan Chase focused on building end-to-end machine learning pipelines, including data ingestion, feature engineering, model training, hyperparameter tuning, and RESTful deployment. The role also involves MLOps practices for model versioning, retraining, validation, governance, and orchestration, as well as deploying and managing AWS infrastructure and building microservices. | DataServe | 7 |
| Asset Management- Quantitative Equities Research Analyst - Vice President Quantitative Equity Researcher (VP) at JPMorgan Chase focused on developing novel alpha signals and enhancing return-forecasting models using advanced statistical, econometric, and machine learning techniques, including LLMs and generative AI. The role involves applying these techniques to large datasets, designing research pipelines, building research frameworks, and collaborating with portfolio managers and technology teams to integrate research into production systems. Requires strong Python and SQL skills, and experience with NLP and alternative data for repeatable research. | DataAgent | 7 |
| Data Domain Architect Lead Lead a team of data analysts to support data annotation and labeling for machine learning models in a fintech domain. This involves developing strategies for training data optimization, identifying patterns in conversational data using NLP, and evaluating the quality of ML outputs. Requires experience in ML data annotation, data modeling, and Python. | Data | 7 |
| Asset Management, Equity Quant Researcher, Associate PhD-level Quant Researcher with 0-3 years of experience in machine learning, specializing in reinforcement learning, to develop alpha signals and portfolio construction methodologies for global equity markets. Responsibilities include data analysis, model enhancement, and integrating research into production systems. | DataPost-train | 7 |
| AI/ML Lead Data Engineer - Automation/Image Processing Lead Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure for processing scanned document images, integrating OCR and computer vision models, and managing data storage on AWS. The role involves collaborating with data scientists and ML engineers, ensuring data quality and governance, and leading a team of data engineers. | DataServe | 7 |
| Intraday Liquidity Management, Senior Associate This role focuses on developing and managing intraday liquidity analytics using AI/ML tools to forecast cash positions and manage limits within JPMorgan Chase's Corporate Treasury. The primary responsibility involves utilizing Python and ML to publish daily forecasts, derive insights from payments data, and maintain a back-testing framework for forecast accuracy. Experience with ML or time-series forecasting in financial workflows is required. | Data | 7 |
| Executive Director-Firmwide AI Data Strategy Executive Director to shape the enterprise AI data strategy, focusing on knowledge representation, ontologies, and data foundations for AI applications at scale within a financial services organization. | Data | 7 |
| Sr Director of Software Engineering- AI Infrastructure Platform Senior Director of Software Engineering for AI Infrastructure Platform at JPMorgan Chase, leading multiple departments to deliver a unified AI infrastructure layer across on-premises, public cloud, and accelerated-compute vendors. Owns training and experimentation on a Kubernetes-standardized platform, acting as a design partner for architectural trade-offs and ensuring reliable, secure, and operable systems at enterprise scale. Responsibilities include standardizing AI developer workflows, building platform APIs, improving GPU availability and utilization, defining scheduling and placement strategies, embedding security and controls, driving operational excellence, and leading engineering teams. | DataServe | 7 |
| Quantitative Trading & Research - Alpha Quant - Vice President Quantitative researcher for an Equity Derivatives team, focusing on end-to-end alpha research and strategy deployment. Responsibilities include feature engineering, building calibration/attribution/monitoring frameworks, and implementing systematic strategies using data analytics, statistical modeling, and machine learning. The role also involves leveraging AI/ML tooling to accelerate research and improve productivity. | Data | 7 |
| 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 |