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 272 active AI roles, with 1069 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$285k (avg $215k).
JPMorgan Chase currently has 457 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (8), Applied AI ML-Vice President (4), Applied AI/ML Lead (4), Data Scientist [Multiple Positions Available] (4), Lead Site Reliability Engineer (4). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (58%), application (17%), serving infrastructure (10%). 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 (306 roles), United Kingdom (62 roles), India (59 roles), Singapore (18 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 264 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Head of AI Solutions Enablement & Client Enablement – Executive Director This Executive Director role in JPMorgan Chase's Commercial & Investment Bank (CIB) AI Enablement team focuses on driving the adoption and integration of AI solutions across business workflows. The role involves developing rollout strategies for AI products, influencing product roadmaps, measuring AI adoption and ROI, and enabling client-facing teams through AI training. It requires a strong technical AI background with experience in strategy and financial services. | — | 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 |
| Senior Lead Software Engineer - Full Stack ReactJS, Java, Python, AWS, AI/ML Senior Lead Software Engineer role focused on full stack development (React, Java, Python, AWS) within an Infrastructure Platform team at JPMorgan Chase. The role involves enhancing, building, and delivering technology products, with a secondary emphasis on leveraging AI/ML tools to improve business decisions and workflows, particularly for cloud migration. The position requires technical leadership, secure code development, and expertise in enterprise-grade systems and cloud-native practices. | — | 5 |
| Manager of Infrastructure Engineering -AI Threat Remediation & Perimeter Resilience Manager of Infrastructure Engineering focused on AI Threat Remediation & Perimeter Resilience in the APAC region for JPMorgan Chase. The role involves leading teams to strengthen perimeter defenses against AI-enabled threats, defining standards, and ensuring compliance with regional and global governance. It also includes leading the safe adoption of enterprise AI tools to improve engineering workflows. | — | 5 |
| Lead Site Reliability Engineer Lead Site Reliability Engineer at JPMorgan Chase focusing on improving application and platform reliability using data-driven analytics and AI-assisted workflows. Responsibilities include leading SRE initiatives, driving collaboration on service levels, using enterprise AI for incident management, and mentoring engineers. Requires a Bachelor's degree, 5+ years of SRE experience, proficiency in programming languages like Python, and experience with observability, CI/CD, and container orchestration. Experience with AI capabilities for SRE workflows, including evaluating AI recommendations and defining guardrails, is essential. | Serve | 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 |
| Software Engineer III (UI) - Digital Markets Execution Technology (DMET), Execute Software Engineer III role focused on building and evolving a real-time, latency-sensitive front-office trading UI using React and TypeScript. The role involves designing, developing, and troubleshooting complex web applications in partnership with various teams. A key aspect is the leverage and critical evaluation of enterprise-authorized AI coding assist tools to enhance productivity and code quality, alongside understanding responsible AI usage in engineering workflows. | — | 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 |
| Trading Services Associate II This role focuses on applying AI and data science techniques, including LLMs, to automate trade processing, document extraction, and data analysis within JPMorgan Chase's trading services. The primary output is the implementation of technology solutions for process optimization and risk management. | Data | 5 |
| Finance Data Insights Release Management – Vice President Vice President, Release Manager for Finance Data Insights at JPMorgan Chase, focusing on leading release and change execution for data platforms. The role emphasizes driving innovation through automation and AI-assisted analytics to improve quality and efficiency in release processes, while also managing a team and stakeholder relationships. Experience in Financial Services and modern data platforms is preferred. | — | 5 |
| Data & AI Platform Product Manager – Vice President, APAC Chief Data & Analytics Office Product Manager for a Data & AI Platform within a financial institution's Chief Data & Analytics Office. The role focuses on translating business and regulatory needs into platform requirements, managing the product backlog, and driving adoption of AI/ML capabilities across APAC markets. Emphasis on risk, controls, and governance within a regulated environment. | Ship | 5 |
| Data & AI Platform Product Manager – Associate, APAC Chief Data & Analytics Office Product Manager for a Data & AI platform within a financial institution, focusing on translating business and regulatory needs into platform requirements, managing the product backlog, and supporting adoption across APAC markets. The role involves close collaboration with engineering, risk, and governance teams to ensure platform capabilities are fit-for-purpose and scalable. | Ship | 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 |
| Securities Services - Billing Product Development - Vice President This role is for a Vice President - Product Delivery Manager in Securities Services Billing at JPMorgan Chase. The primary focus is on defining and delivering the strategic roadmap for end-to-end Billing, including supporting the AI & Data Strategy for Securities Services Billing. The role involves establishing a well-governed data foundation, streamlining data requirements, validations, and downstream impacts, and applying AI/ML-enabled approaches to enhance insights, efficiency, and risk management. Responsibilities include stakeholder engagement, defining product and data roadmaps, owning product/process/data end-to-end, establishing frameworks for requirements delivery, leading the delivery lifecycle, and managing risks. The role also involves leading and developing a team. | Data | 5 |
| Security Operations Vice President, Vulnerability Management This role is responsible for vulnerability management within a large enterprise, focusing on risk assessment, impact analysis, and coordinating remediation efforts. While the role utilizes AI tools to enhance security operations, its core function is not AI development but rather the application of AI for security tasks. | — | 5 |
| Senior Lead Software Engineer - Python, Data, Cloud, AIML Senior Lead Software Engineer role focused on building the engineering stack for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps, and MLOps, with an emphasis on industrializing AI/ML models at production scale and driving the adoption of AI-assisted engineering practices within a regulated financial environment. | Serve | 5 |
| Lead Technical Program Manager - Business Enablement & Transformation Lead Technical Program Manager for Business Enablement & Transformation within JPMorgan Chase's Core & Foundational Platforms organization. This role focuses on driving execution, operating cadence, portfolio and vendor governance, and organizational effectiveness for a global engineering-led infrastructure organization. The position involves partnering with leadership, product management, and stakeholders to translate strategy into outcomes, manage the book of work, and utilize enterprise-authorized AI capabilities to accelerate program planning and risk synthesis. Responsibilities include preparing leaders for reviews, driving alignment to OKRs, managing resources and financials, and creating efficient processes. The role also involves talent management and promoting AI-assisted practices for program governance. | — | 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 |
| Networking Engineer III Networking Engineer III at JPMorgan Chase focused on infrastructure engineering, improving data and systems at scale, and ensuring end-to-end monitoring. The role involves using enterprise-authorized AI capabilities to accelerate monitoring, capacity analysis, and documentation, while also applying AI-assisted approaches to identify and remediate capacity risks. Requires expertise in networking fundamentals, protocol analyzers, capacity management tools, and experience with cloud technologies. | — | 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 |
| Product Director – Financial Crime Product Director role at JPMorgan Chase focused on Financial Crime prevention and detection capabilities (AML, KYC/CDD, sanctions screening, transaction monitoring, fraud controls). The role involves leading a team to innovate new product offerings, manage the end-to-end product lifecycle, and ensure effective and defensible controls. It requires balancing regulatory compliance, customer experience, and commercial outcomes, with a focus on delivering scalable, resilient, high-quality products. Experience with AI/ML in Financial Crime contexts and building case management systems is mentioned. | — | 5 |
| Test Automation Engineer - Associate This role focuses on test automation within the financial services industry, leveraging AI/LLM tools to accelerate various stages of the testing lifecycle, including test design, code generation, triage, and documentation. The engineer will be responsible for architecting and maintaining test automation environments, designing and implementing solutions for test data management, and applying AI/ML for risk-based testing and defect prediction. A strong emphasis is placed on prompt engineering and validating AI outputs for responsible AI usage. | Ship | 5 |
| Software Engineer III - Fullstack (Java, React, Python and AI) Engineer Software Engineer III - Fullstack (Java, React, Python and AI) Engineer at JPMorgan Chase in London. This role focuses on building AI-enabled features and integrations for customer and internal platforms, leveraging AI coding assist tools and ensuring secure, compliant solutions. The engineer will design, develop, and maintain full-stack features, optimize data flows, and collaborate with product and marketing teams. | Ship | 5 |
| Lead Software Engineer - Python and kdb+ / AI data integration, Alt Data & Data Ingestion Lead Software Engineer role focused on AI data integration and data engineering within a financial services company. The role involves leading technical initiatives, designing and optimizing real-time data pipelines, and leveraging AI technologies to enhance data engineering workflows and SDLC processes. It emphasizes the adoption and responsible use of AI-assisted engineering practices, mentoring teams, and building robust tools for quantitative research and trading. | Data | 5 |
| Lead Software Engineer - SDET Lead Software Development Engineer in Test (SDET) responsible for designing, building, and supporting automated testing frameworks for backend applications. The role emphasizes driving team adoption of enterprise-authorized AI-assisted engineering practices, ensuring quality, speed, and operational outcomes, while adhering to responsible AI use principles and validation standards. | — | 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 |
| Markets Operations AI Transformation & PMO Lead - Executive Director Lead AI transformation and PMO initiatives within Markets Operations at JPMorgan Chase, focusing on re-imagining operations with AI and intelligent automation, translating pain points into scalable AI solutions, and ensuring disciplined execution and governance. | — | 5 |
| Asset Management Data Marketplace - Product Senior Associate Product Manager role focused on building a metadata marketplace to improve data governance, cataloging, discovery, and consumption within Asset Management. The role partners with technology and business stakeholders to define and deliver capabilities for managing data domains, data products, and semantics, with a mention of powering AI and familiarity with AI-enabled product delivery. | — | 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 |
| Lead Software Engineer - Java / Equities Risk Lead Software Engineer for Equities Risk Management team at JPMorgan Chase, focusing on building and enhancing a real-time derivatives pricing and risk management platform. The role involves driving team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed, while ensuring responsible AI use and adherence to security and compliance standards. | — | 5 |
| Kinexys - AI & Platform Shared Services - Senior Associate - London This role focuses on product and program management for AI initiatives within a financial services context, supporting the full lifecycle from discovery to adoption, and contributing to AI strategy, governance, and operating models. It emphasizes collaboration with engineering and data teams, stakeholder management, and driving AI adoption at scale. | Ship | 5 |
| Strategic Data Provisioning Specialist at Chief Data & Analytics Office (CDAO) This role focuses on strategic data provisioning within JPMorgan Chase's Chief Data & Analytics Office (CDAO). The specialist will be responsible for making data available for AI/analytics initiatives, tracing data lineage, resolving data quality issues, and enriching metadata. While the role supports AI/analytics by preparing data, it does not involve building or shipping AI models directly. It requires strong data management, engineering, and analysis skills within a financial services context. | — | 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 |