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 1184 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 |
|---|---|---|
| Lead Site Reliability Engineer Lead Site Reliability Engineer role focused on integrating and managing enterprise-authorized AI capabilities to enhance reliability engineering workflows, including design, operational decisioning, and SDLC practices. Requires strong SRE fundamentals, programming skills, and experience with AI tools in a regulated environment. | Serve | 5 |
| Lead Site Reliability Engineering - Network Lead Site Reliability Engineer focused on network infrastructure, responsible for defining and implementing reliability principles, driving adoption of best practices and observability, and providing Tier-3 support. The role involves using and evaluating enterprise-authorized AI capabilities to enhance SRE workflows, including incident response and analysis, while ensuring security and data sensitivity. | Serve |
| 5 |
| Senior Lead Site Reliability Engineer-Network ETRADE INFRA This role focuses on infrastructure engineering, specifically in networking for electronic trading services. While it involves using enterprise-authorized AI capabilities to enhance reliability design, operational decisioning, and SDLC workflows, the core function is not building AI models but rather leveraging existing AI tools to improve infrastructure operations. The role requires expertise in networking, cloud infrastructure, and setting practices for safe AI usage in operations. | — | 5 |
| Lead Software Engineer Lead Software Engineer for the Corporate Technology, Risk Technology team, focusing on site reliability. The role involves leading initiatives to improve application reliability and stability, driving team adoption of enterprise-authorized AI-assisted engineering practices for code quality, delivery speed, and operational outcomes, and ensuring responsible AI use with a focus on data sensitivity, security, and compliance. The engineer will also serve as a point of contact during major incidents and mentor other engineers. | — | 5 |
| Product Solutions Manager - Payments - Vice President Product Solutions Manager for Trust & Safety in Payments at JPMorgan Chase. This VP-level role focuses on defining and configuring complex solutions for clients, acting as the voice of the customer, and promoting new product growth. It requires understanding client needs, solving pain points, and collaborating with Sales, Product, and other internal teams. Prior experience in payments, fraud prevention, or ID & V is critical, with a need to be well-versed in technology, data, AI, and ML. The role involves leading solutioning, serving as a subject matter expert, supporting sales efforts, and driving the commercialization of new services. | — | 5 |
| Data Scientist [Multiple Positions Available] Develop and interpret data queries, build and analyze workflows, validate dashboards, and collaborate with stakeholders. Implement ML/AI models via pre-trained endpoints or services for automation and modernization, manage metadata for governance, troubleshoot performance bottlenecks, build CI/CD pipelines, and transform data. Requires experience with ETL, SQL, Python/SAS, Tableau, cloud services (AWS/Azure), Apache Spark, and ML libraries. | Serve | 5 |
| Quant Analytics [Multiple Positions Available] Develop analytical frameworks, business intelligence tools, and predictive models for credit card product enhancement, customer insight generation, and portfolio strategy. Analyze data to detect behavioral patterns, assess performance, and identify growth opportunities. Partner with stakeholders to integrate findings into product planning. Design controlled tests and validations for model accuracy, compliance, and regulatory alignment. Present findings and recommendations to senior management. | Data | 5 |
| Software Engineer III - Java / Transformative AI/LLM Software Engineer III role focused on building and delivering innovative AI/LLM solutions for client needs within the financial services domain, utilizing Java and AWS. The role involves executing software solutions, writing secure code, leveraging AI coding assist tools, and collaborating within an agile team. | Ship | 5 |
| Senior Principal Software Engineer - Treasury/CIO Technology Senior Principal Software Engineer at JPMorgan Chase focused on designing and delivering large-scale, cloud-native systems for Corporate Treasury. The role involves architecting solutions, defining engineering standards, driving DevOps practices, and developing AI-enabled solutions. Requires deep expertise in AWS, microservices, Python, and DevOps, with a preference for experience applying AI/ML in enterprise applications. | Ship | 5 |
| Data Governance Product Manager Vice President Product Manager VP at JPMorgan Chase focused on Data Governance to enable AI-readiness. The role involves improving metadata standards, governed access workflows, and operational efficiency. Responsibilities include product strategy, roadmap development, requirements definition, and collaboration with engineering and risk stakeholders to deliver scalable, compliant data governance solutions. Experience with data governance solutions for metadata, access, and AI readiness is required, along with proficiency in Agile methodologies and data analytics. | — | 5 |
| Site Reliability Engineer III Site Reliability Engineer III within the Chief Data & Analytics Office (CDAO) AI/ML & Data Platforms team, responsible for configuring, maintaining, monitoring, and optimizing applications and their associated infrastructure. The role involves guiding others in building designs, collaborating on CI/CD pipelines, and using enterprise-authorized AI capabilities to accelerate incident triage, troubleshooting, and identify patterns in operational signals. Requires proficiency in SRE concepts, programming languages like Python/PySpark for AI/ML modeling, and experience with observability tools and incident management. | — | 5 |
| Senior Lead Site Reliability Engineer - AI/ML and Data Platforms Senior Lead Site Reliability Engineer for an AI/ML and Data Platforms team, focusing on ensuring the reliability, scalability, and performance of data platforms and AI/ML workloads. The role involves defining non-functional requirements, implementing observability, and driving the adoption of AI-assisted reliability workflows within the SDLC and operational decisioning, while adhering to enterprise-authorized AI usage guidelines and data sensitivity requirements. | Serve | 5 |
| Lead Technical Program Manager Lead Technical Program Manager for JPMorgan Chase's Commercial & Investment bank, focusing on delivering complex payments platform products like Real-Time Payments. The role involves managing the end-to-end project lifecycle, leading cross-functional teams, and utilizing enterprise-authorized AI capabilities for program management workflows, with a strong emphasis on validation and data sensitivity. | — | 5 |
| Business Process Red Team Operator This role is for a Business Process Red Team Operator at JPMorgan Chase, focusing on offensive security activities, social engineering, and penetration testing against critical business processes. It involves assessing security and resilience, identifying risks, and collaborating with cross-functional teams. Familiarity with AI/ML technologies for Red Teaming is also mentioned. | — | 5 |
| Quant Analytics Executive Director - Card Data Analytics Lead an analytics function focused on customer lending journeys, product strategy, and risk-adjusted economics. Build orchestration frameworks for 'next best action' and 'next best product' recommendations, drive product economics, define modeling strategy for various predictive models, and scale experimentation. The role emphasizes data-driven decisioning, personalization, and responsible use of advanced analytics within a regulated financial environment. | AgentShip | 5 |
| Sr Lead Software Engineer - Java Senior Lead Software Engineer role focused on enhancing and building technology products within JPMorgan Chase's Commercial & Investment Bank. The role involves providing technical guidance, developing secure code, and driving the adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. It requires strong Java backend experience, cloud-native AWS knowledge, and experience with event-driven architectures. A key aspect is leading the effective use of enterprise-authorized AI tools and ensuring responsible AI usage in engineering workflows. | — | 5 |
| Lead Software Engineer - Full Stack/Generative AI/LLM Lead Software Engineer focused on integrating and driving adoption of AI-assisted engineering practices, LLMs, and generative AI within a financial services context. The role involves developing secure, high-quality code, troubleshooting technical problems, and coaching engineers on responsible AI use, while ensuring adherence to security and compliance standards. | Ship | 5 |
| Lead Software Engineer - Fullstack Lead - AI, LLM Lead Software Engineer focused on full-stack development, integrating AI-assisted engineering practices and AI-enabled capabilities into customer acquisition and account origination journeys. The role emphasizes driving team adoption of AI tools for code quality and delivery speed, while ensuring responsible AI use and compliance. | Ship | 5 |
| Lead Software Engineer - Linux Infrastructure Platform Lead Software Engineer for Linux Infrastructure Platform at JPMorgan Chase, focusing on automating OS image creation, package management, and provisioning for on-premise and cloud environments. The role involves using AI tools for testing, development, and improving code quality, delivery speed, and operational outcomes, while ensuring responsible AI use and adherence to security standards. | — | 5 |
| Release Management Analyst This role focuses on release management and change governance for Finance data products, aiming to improve release velocity and reliability through automation and AI-assisted methods. The analyst will support end-to-end planning and execution of changes, identify risks, manage stakeholders, and embed AI tools for anomaly detection and issue investigation. The role requires experience in release management, data analytics, and using AI-assisted tools for delivery acceleration. | — | 5 |
| Software Engineer III - Python, AWS, GenAI Software Engineer III at JPMorgan Chase focused on Python, AWS, and GenAI tools to enhance software development processes. The role involves designing, developing, and troubleshooting technology solutions, with a strong emphasis on leveraging AI coding assist tools for improved code quality, speed, and productivity. Responsibilities include creating secure code, producing architecture artifacts, analyzing data for improvements, and contributing to software engineering communities. The role requires experience with Python full-stack development, containerization (Docker, Kubernetes), AWS services (EKS), agile methodologies, and critically evaluating AI-generated outputs. Understanding of responsible AI use and GenAI fundamentals for developer productivity is also key. | — | 5 |
| Wealth Management Solutions, ConnectWealth Managed Investments Trading & Implementation Product Owner - Vice President Product Owner for Wealth Management's managed investments platform, focusing on integrating AI into product ownership tasks like requirements articulation, documentation, and stakeholder communication. The role involves driving platform strategy, managing the product backlog, and ensuring quality and compliance for a large asset base, with a strong emphasis on using AI tools to scale these processes. | — | 5 |
| Wealth Management Solutions, ConnectWealth Managed Investments Trading & Implementation Product Senior Associate This role is for a Product Owner in Wealth Management focused on integrating AI into the product ownership craft for a managed investments platform. The responsibilities include defining strategy, managing requirements, collaborating with stakeholders, and ensuring quality and compliance, with an emphasis on leveraging AI tools to accelerate these processes. | — | 5 |
| WLS - Data & Reporting Business Manager - Vice President This role is a Vice President, Data Science and Analytics, within JPMorgan Chase's Wholesale Lending Services. The primary focus is on serving as a senior analytics liaison and strategic partner to leadership, owning the delivery of trusted metrics, data quality, and insight generation. The role involves improving data quality, driving efficiency, and supporting risk management using advanced analytics and AI tools, with a strong emphasis on responsible use, validation, and governance of these technologies. While the role utilizes AI tools, its core craft is not building AI models but rather applying and governing them for business insights and product improvement within a regulated financial services environment. | — | 5 |
| Wealth Management - Data Strategy & Architecture, Client Acquisition Lifecycle, Analytics, and Applied AI Director This role focuses on defining and evolving data strategy and target-state architecture for client acquisition, analytics, and applied AI within a Global Private Bank. The Director will partner with business and technology leaders to deliver scalable data models, enable strategic data provisioning, and drive lifecycle-aware solutions supporting operational, analytical, and regulatory needs. A key responsibility is developing cross-domain, consumer-focused data products for analytics and agentic AI, establishing scalable modeling patterns, and managing a team of data architects. | Agent | 5 |
| Global Banking - Payments Sales Experience - Senior Associate Product Associate role focused on leveraging agentic AI and data analytics to design, launch, and optimize intelligent financial payments sales experiences. Responsibilities include identifying product opportunities, informing roadmaps with user research and market analysis, tracking product metrics, writing requirements, and championing responsible AI practices. | — | 5 |
| Product Portfolio Operations Manager - Communications & Reporting This role focuses on managing the operational aspects of product portfolio communications and reporting, with a significant emphasis on leveraging AI and LLMs to improve workflows and build prototypes. The individual will maintain an LLM knowledge base, develop AI-powered tools, and identify manual pain points for automation within reporting processes. | Agent | 5 |
| Compliance - Operational Risk Management Lead - Vice President This role is for a Vice President in Operational Risk Management at JPMorgan Chase, focusing on risk analytics and assessments within the financial services industry. The position involves performing data analytics, liaising with subject matter experts, preparing executive summaries, and contributing to team projects, including AI prompting and research. The role requires strong analytical skills, experience in operational risk, and proficiency with tools like Excel and Large Language Models. | — | 5 |
| Vice President, Public Pensions Marketing Strategy-Asset Management Vice President of Marketing Strategy for Public Pensions at JPMorgan Asset Management, focusing on leveraging Generative AI to transform marketing initiatives for institutional investors. The role involves developing and executing marketing strategies, leading the integration of AI tools, driving data-driven programs, and fostering a culture of experimentation. | — | 5 |
| Vice President, Banking Product Marketing - Asset & Wealth Management Vice President, Banking Product Marketing for Asset & Wealth Management at JPMorgan Chase. This role focuses on developing and executing marketing strategies for the deposits business, targeting ultra-high-net-worth global clients. Responsibilities include owning the marketing strategy, creating offers to drive new money, reimagining the banking experience, and leveraging AI tools for marketing efficiency. Requires 8+ years of financial services marketing experience. | — | 5 |
| Product Director, Platform Enablement and Migration Lead Product Director to lead platform enablement and migration for the Trust and Security: Data, Decision & AI/ML organization within JPMorgan Chase's Consumer & Community Bank. The role focuses on driving adoption of AI/ML platforms, managing a feature catalog, improving developer experience, and leading the retirement of legacy fraud data systems. This involves strategic roadmap ownership, stakeholder management, and ensuring safe, on-schedule decommissioning of systems supporting millions of customers and trillions in transactions. | — | 5 |
| Quant Analytics [Multiple Positions Available] This role focuses on leveraging AI and LLMs to analyze survey responses and customer data for a financial institution. The primary responsibility involves data preparation, analysis, and insight extraction to improve business performance and understand customer journeys. The role requires experience with statistical methods, data querying, and presentation of findings. | Data | 5 |
| Data Scientist [Multiple Positions Available] This role involves leveraging LLMs and generative AI to extract insights from customer data, assess customer journeys, and inform data-driven decision-making within a financial services context. The primary focus is on applying AI technologies to analyze business drivers, customer interactions, and sales performance to improve business insights and decisioning. | Agent | 5 |
| Digital Product Owner - AI Enablement + Portfolio Holdings & Tax, Associate Product Owner role focused on enabling product teams to use AI responsibly and effectively, and driving execution for advisor- and client-facing Portfolio Holdings & Tax experiences in a regulated financial environment. Responsibilities include executing an AI enablement roadmap, developing standards and training, supporting AI tool selection, and partnering with risk/compliance. Also involves shaping and delivering product roadmaps for holdings visibility and tax reporting. | Agent | 5 |
| Product Delivery Manager, Data Products – Interactions Core Product Delivery Manager for Data Products, focusing on sourcing and streaming data to Kafka and CCB Data Lake to support AI/ML, modeling, personalization, reporting, and analytics use cases. The role involves leading end-to-end product delivery, managing dependencies, partnering with stakeholders, and driving the modernization of data ecosystems. | — | 5 |
| Risk Management - Wealth Management Trust and Estates Vice President This role is within JPMorgan Chase's Risk Management division, focusing on Wealth Management Trust and Estates. The Vice President will provide independent oversight and challenge of fiduciary and investment risks, utilizing data-driven insights and potentially machine learning techniques to identify themes, assess exposures, and support decision-making. The role involves risk reporting, enhancing processes, and partnering with business and control functions to ensure a well-controlled risk environment. | — | 5 |
| AI/ML - Technology & Cybersecurity Risk Management - Vice President Vice President role focused on overseeing operational risk, technology, and cybersecurity for AI and machine learning systems within a financial institution. The role involves evaluating AI/ML systems, identifying risks, and challenging mitigation strategies to ensure resilient and responsible adoption. | — | 5 |
| Lead Security Engineer - IOT Asset Intelligence Lead Security Engineer focused on building a firmwide IoT security program, specifically on telemetry pipelines, SIEM integration, and data quality. The role involves executing software solutions for the IoT visibility platform and actively using AI tools to enhance productivity and code quality. | — | 5 |
| Risk Management - User Acceptance Testing (UAT) Analyst The role is for a User Acceptance Testing (UAT) Analyst within JPMorgan Chase's Risk Management division. The primary focus is on planning, coordinating, and executing end-to-end testing for business-critical strategies and deliveries. While the role involves leveraging AI-assisted tools and innovative automation techniques to improve testing efficiency and reliability, it does not involve building or shipping AI models or agents as its core function. The role requires experience in manual testing, test planning, scenario creation, defect management, SQL, and Agile methodologies, with a strong emphasis on collaboration and communication. | — | 5 |
| Vice President – Policy Engine & Data Contracts Engineer The role involves building and maintaining a Python-based policy engine and data contracts system using W3C ODRL and RDF triple-stores. It includes developing APIs and tooling for policy evaluation, translation, and explanation, with LLM assistance for authoring and explanation, focusing on responsible data sharing at scale. | Agent | 5 |
| Product Strategy GTM & Execution Vice President Product Strategy GTM & Execution Vice President for an AI & Data Platform (Fusion) at JPMorgan Chase. The role focuses on driving adoption of the platform across business units by building relationships, understanding problems, crafting narratives, and developing lighthouse customers. Success is measured by business unit progression through the adoption journey and the quality of outputs like intelligence briefs and use-case success journeys. | — | 5 |
| Risk Management - Specialized Risk Associate (Structural Interest Rate Risk) This role focuses on managing interest rate risk exposure within JPMorgan Chase's Treasury and Chief Investment Office. The Associate will conduct deep-dive analyses, develop market scenarios, and provide insights for senior management. A key aspect of the role involves integrating advanced technologies, including AI and Python, into risk management workflows, while ensuring compliance with regulatory requirements. The position requires strong analytical skills, proficiency in programming languages like Python and SQL, and familiarity with AI/ML applications in finance. | — | 5 |
| Senior Internal Audit Associate - Model Risk This role focuses on evaluating complex models and model risk frameworks within a financial institution, with a specific emphasis on developing and implementing AI/ML solutions to enhance control testing and provide insights into model risk management. The primary output is the application of AI/ML to improve existing processes and products within the financial domain. | Ship | 5 |
| Data Scientist [Multiple Positions Available] Data Scientist at JPMorgan Chase responsible for developing and deploying advanced analytical solutions, including model development for complex business needs. The role involves data analysis, AI/ML modeling, and communicating findings to stakeholders, with a focus on business impact and robustness. | Post-train | 5 |
| Executive Director of Creative Technology & Experience -Private Bank Executive Director of Creative Technology & Experience for the Private Bank, focused on leveraging generative AI, automation, and modular content systems to enhance client experiences and improve efficiency in creative production across various media. The role involves leading creative teams, integrating AI into workflows, and managing external partners. | — | 5 |
| Sr. Director of Architecture - Trust & Security Senior Director of Architecture for Trust & Security at JPMorgan Chase, focusing on defining target state architectures, leading core capabilities like authentication and fraud detection, and designing secure APIs. The role involves architecting risk engines, enabling explainable decisioning, and leveraging AI/ML for customer protection and fraud reduction within a regulated fintech environment. | Agent | 5 |
| Product Manager - 603 - (MAP) Adobe and Content Transformation Product Manager role focused on evolving content creation tooling ecosystem within a large financial institution. The role involves developing product strategy, managing the product lifecycle, and integrating AI/ML, automation, and advanced analytics to modernize capabilities and drive business outcomes. Experience in regulated industries and with Adobe content creation tools is required. | — | 5 |
| Quant Analytics Associate Sr - DART Senior Quantitative Analytics Associate role focused on designing and delivering automated business solutions using data pipelines, advanced analytics (forecasting, anomaly detection), and machine learning for operations within a financial institution. Responsibilities include end-to-end MIS solution delivery, ELT/ETL pipeline development, dashboard creation, and applying ML for operational optimization. | Agent | 5 |
| CRM Data Product Manager - Vice President Product Manager for CRM data products in financial services, focusing on creating governed, reliable data assets (datasets, metrics, dashboards, APIs, ML-ready data) to support advanced analytics and AI/ML use cases. The role involves defining requirements, ensuring data quality, and applying governance and controls. | — | 5 |
| Risk Management - Data Scientist Lead - Vice President Lead analytics team in Risk Management, focusing on developing and enhancing analytics using machine learning and AI/LLM tools for risk identification, trend analysis, and forecasting. Ensure analytical approaches and AI-driven insights are controlled, documented, and aligned with internal standards. | Serve | 5 |