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 275 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Data Owner-Vice President JPMorgan Wealth Management is seeking a Data Owner (VP) to define and manage data strategies for a specific product. This role involves end-to-end data enablement, publishing, and governance, ensuring data quality and compliance for analytics, AI/ML decisioning, and customer experiences. The position requires a blend of technical data architecture knowledge and business acumen to manage data risks and drive outcomes. | Data | 5 |
| Senior Product Associate- Voice IVR Senior Product Associate role focused on the Customer Voice Experience within JPMorgan Chase's Consumer & Community Banking Operations Product organization. The role involves leveraging user research, analyzing metrics, and collaborating with cross-functional teams to define product vision, strategy, and roadmaps. Key responsibilities include identifying new product opportunities, analyzing product metrics, writing requirements, and driving data-informed decision-making using AI-enabled tools to improve customer experience and product offerings, particularly in voice IVR systems. |
| Ship |
| 5 |
| Risk Decisions - Product Manager Vice President Product Manager VP role at JPMorgan Chase within Risk Management, focusing on credit risk decisioning capabilities for consumer and business credit cards, auto finance, and business banking. The role involves leading transformation, owning prioritization, scope, and delivery across the product lifecycle, partnering with Risk, Technology, Data, and Control stakeholders. Requires technical proficiency with AWS, Databricks, Snowflake, and GenAI capabilities to improve decisioning agility, data quality, and time-to-market. The role emphasizes delivering measurable business value within established release trains and ensuring alignment to legal, control, and risk standards. | — | 5 |
| Vice President – Graph-Based Knowledge Solutions Product Manager for graph-based AI solutions at JPMorgan Chase, focusing on defining and scaling next-generation knowledge graph applications within the Generative AI organization. The role involves shaping product vision, roadmap, and execution, partnering with engineering and data science to deliver value from the firm's data ecosystem. | Agent | 5 |
| APAC Branches Operations Strategy and Governance Analyst This role focuses on process optimization and automation within financial services operations using tools like Python, Alteryx, and Tableau. While it mentions familiarity with generative AI, the core responsibilities revolve around business analysis, workflow automation, and data visualization, rather than direct AI/ML model development or deployment. | — | 5 |
| Data Scientist Associate Sr - Consumer Bank Marketing Analytics Data Scientist Associate Senior for Consumer Bank Marketing Analytics to improve customer discovery, opening, and usage of products. This role involves partnering with cross-functional teams to inform strategy, shape measurement, and translate analysis into data-driven recommendations. Responsibilities include analyzing customer journeys, monitoring platform health, building business intelligence dashboards, providing actionable analytics for marketing strategies, and analyzing A/B experiments. The role requires experience with SQL, Python, Adobe Analytics, Tableau, Alteryx, and BI platforms, as well as experience with A/B testing and defining KPIs. Experience in financial services is preferred. | — | 5 |
| Risk Management & Compliance Vice President, Emerging Capabilities This role focuses on evaluating, piloting, and scaling the adoption of emerging AI and automation tools within JPMorgan Chase's Risk Management & Compliance division. The individual will own product roadmaps, define success metrics, and drive value realization through training and consulting, acting as a bridge between business needs and technology solutions. | Ship | 5 |
| Security Services Data Modelling and Engineering - Senior Associate The role focuses on building and optimizing data pipelines and transformation workflows using Databricks, Python, and Spark to create scalable and reusable datasets that support analytics, reporting, and AI use cases within the Securities Services Data Modelling and Engineering team at JPMorgan Chase. The candidate will collaborate with stakeholders, ensure data quality and governance, and provide clean, structured data for AI initiatives. | Data | 5 |
| Vice President, Product Management — Home Lending Transformation Vice President, Product Management for Home Lending Transformation at JPMorgan Chase. The role focuses on identifying business outcomes and delivering solutions, accelerating idea-to-impact, and improving quality and speed. It involves partnering with engineering, design, and business stakeholders, removing blockers, and leading experimentation. The role will leverage AI responsibly to accelerate discovery, decisioning, and delivery where it creates value, adhering to firm-approved tools and guidelines. Key responsibilities include defining and prioritizing the product backlog, owning delivery velocity and quality, driving innovation, leading discovery and experiments, facilitating agile ceremonies, analyzing product performance with AI/ML for signal detection, forecasting, or prioritization, owning a data-backed roadmap, and communicating progress. The goal is to reduce lead time, increase adoption, and deliver high-impact experiments demonstrating AI's acceleration of insights and value. | — | 5 |
| Risk Management and Compliance: Wholesale Credit Analytics & Reporting Associate This role is for an Associate in JPMorgan Chase's Credit Risk Controller & Analytics team, focusing on wholesale credit risk management and reporting. The role involves analyzing credit portfolios, producing reports for senior management and external disclosures, and leveraging AI tools for analysis. It requires a Bachelor's degree, 4+ years of experience, advanced Microsoft Office skills, experience with BI tools, and strong analytical and project management skills within a regulated financial environment. | — | 5 |
| Experience Research Senior Associate This role focuses on designing and running large-scale quantitative research to generate actionable customer insights that shape data-driven user experiences across digital products and services, with a focus on AI-driven/agentic customer experience transformation. The role requires proficiency in quantitative research methods, statistical analysis, and experience with statistical software. While the role touches on AI, its core function is in quantitative research and insight generation for customer experience, not direct AI/ML model development. | — | 5 |
| Wealth Management, Quantitative Portfolio Manager, Equities CIO Senior quantitative portfolio manager for an equity team, responsible for setting the quantitative research agenda, owning core portfolio analytics and risk frameworks, and driving implementation of systematic, factor-based, and data-driven insights for an $80bn equity portfolio. The role involves translating complex quantitative work into investment decisions, leading the integration of quantitative signals with fundamental views, owning risk model applications, designing portfolio construction frameworks, driving development of research and analytics tooling (Python-first), and evaluating/applying machine learning/AI techniques for feature engineering, ensemble methods, and NLP for alternative data, with an emphasis on interpretability and investment relevance. | Data | 5 |
| Regional Integrated Content Manager, Latin America & GFG, J.P. Morgan Private Bank This role focuses on building and managing AI-enabled content workflows within a regulated financial services environment. The primary goal is to improve the speed, quality, and consistency of content delivery for the Private Bank in Latin America and GFG. Responsibilities include setting editorial standards, establishing governance, driving adoption of AI tools, and ensuring compliance and accuracy through human oversight and defined controls. | — | 5 |
| Product Manager (Vice President) - Machine Learning & Intelligence Operations Product Manager (VP) for Machine Learning & Intelligence Operations at JPMorgan Chase. Responsible for developing product strategy, managing discovery and market research, owning the product backlog, and tracking key success metrics. Requires 5+ years of product management experience and knowledge of the product development life cycle. | — | 5 |
| Senior Associate -SMB Payments, Strategy, and Planning This role focuses on building an AI-native analytics and insights workflow for SMB Payments, aiming to automate reporting, improve decision-making, and enhance performance tracking. It involves owning the outcomes framework, developing AI-enabled insights, and strengthening the operating system through communication and knowledge management. | AgentEval Gate | 5 |
| AI/ML Engineer [Multiple Positions Available] AI/ML Engineer at JPMorgan Chase focused on building AI-powered chatbots using cloud-based LLMs (AWS Bedrock Claude Sonnet, OpenAI GPT) to support customer inquiries, contributing to the product's journey toward Agentic AI. The role also involves developing storage management platforms, capacity management tools, and automation for infrastructure. | Agent | 5 |
| Vice President, Marketing Strategy Lead, Becoming a Customer Agentic Shopping This role focuses on developing and leading agentic shopping strategies, including SEO, AEO, and GEO, to drive account growth for a financial institution. It involves leveraging AI-driven experiences and emerging technologies to enhance customer engagement and conversion within digital shopping journeys. | — | 5 |
| AI Tech Risk and Controls Lead Lead AI Tech Risk and Controls for JPMorgan Chase's CFP Infrastructure Platforms team, focusing on identifying and mitigating compliance and operational risks, ensuring adherence to regulatory standards, and providing technical guidance. The role involves partnering with stakeholders to report on technology risk posture and drive innovative risk management solutions within the financial industry. | — | 5 |
| Valuation Control Stress Testing - Associate Associate in Valuation Control Group focused on stress testing and predictive modeling for financial risk management. Develops models using Python, Excel VBA, and Alteryx, collaborating with various teams and interacting with regulators. Requires strong knowledge of statistical analysis, time series modeling, and applied machine learning. | Data | 5 |
| Lead Software Engineer - Python and AI Lead Software Engineer focused on full-stack development (React.js, Python) and cloud engineering (AWS), with a significant contribution to designing and developing AI/LLM-based solutions including RAG pipelines and prompt engineering. | Agent | 5 |
| Product Design - Associate Product Designer role focused on end-to-end design of product experiences within the Global Private Bank Design Studio at JPMorgan Chase. The role involves partnering with Product and Technology, applying design systems, and grounding decisions in research and analytics. It also includes exploring and applying AI tools to enhance design quality and efficiency. | — | 5 |
| Data Science Product Senior Associate This role focuses on building data and analytics products for Finance at JPMorgan Chase. The Data Science Product Senior Associate will partner with product, data science, and engineering teams to deliver user-centric capabilities that improve data quality and accelerate trusted reporting. The role involves shaping model-powered features, dashboards, and controls, and supporting the development and testing of AI/ML models and their safeguards. Key responsibilities include translating business problems into analytical requirements, analyzing product usage and model performance, building dashboards, partnering on data validation and control alignment, and managing a backlog of data enhancements. The role requires a Bachelor's degree in a quantitative field, experience with SQL, data visualization, Python/R for analysis and model evaluation, and familiarity with cloud platforms like AWS and Databricks. Experience with experimentation, A/B testing, and data/business intelligence concepts is also necessary. The role emphasizes improving data quality, accelerating reporting, and ensuring compliance with model risk standards. | Data | 5 |
| Head of AI Solutions Enablement & Client Enablement – Executive Director This role focuses on driving the adoption and integration of AI solutions within JPMorgan Chase's Commercial & Investment Bank (CIB). The Head of AI Solutions Enablement & Client Enablement will develop rollout strategies, provide product feedback, track business outcomes, and enable client-facing teams through AI training. The role requires a strong technical AI background, strategy experience, and knowledge of GenAI tools, RAG, and agentic workflows, with a focus on delivering measurable commercial impact and fostering an AI-first culture. | — | 5 |
| Quantitative Trading & Research - Valuation Models - Vice President Develop and maintain sophisticated models for fair value measurement across multiple business lines, leveraging machine learning, AI, and data analytics to enhance valuation methodologies and drive innovation. Implement methodologies for model calibration and build analytics to manage model risk appetite. Design and develop software frameworks for analytics delivery. | Serve | 5 |
| Agentic Treasury Product Strategy Director-Payments-Executive Director This role is for a Principal, Agentic Treasury Product Strategy within the Product Organization at JPMorgan Chase. The primary focus is to define and deliver an agentic treasury platform that maps to real-world treasury workflows and decision-making. The individual will engage with corporate treasury leaders to identify workflow gaps and translate these into product priorities, working closely with product managers, engineers, and data scientists. The role emphasizes influencing the roadmap, ensuring the right scope of automation and autonomy, and shaping the product category narrative for an agentic treasury platform. | Agent | 5 |
| Experience Design Vice President JPMorgan Chase is seeking an Experience Design Vice President to lead user experience research for their Connected Commerce division, focusing on travel. The role involves designing and executing research strategies using advanced quantitative and qualitative methods to understand customer needs and inform product enhancements. The candidate will collaborate with cross-disciplinary teams, translate insights into actionable recommendations, and promote a culture of continuous learning. A key aspect is demonstrating thought leadership in utilizing AI to improve research impact and efficiency. | — | 5 |
| Offers & Shopping Quant Analytics Sr Associate This role focuses on designing and developing digital analytics requirements for UX/UI products, collaborating with cross-functional teams to deploy A/B tests and evaluate performance KPIs. The role involves developing dynamic dashboards, automating ETL processes, and performing data manipulation using SQL and Python. It also includes conducting statistical analysis and predictive modeling using machine learning methods, identifying personalization opportunities, and ensuring data integrity. The ideal candidate will have a Master's degree in a quantitative field, 3+ years of analytics experience, proficiency in SQL and Python with machine learning libraries, and experience with digital analytics and experimentation tools. | Ship | 5 |
| Quant Analytics Senior Associate This role supports the development and deployment of machine learning models and tools for strategic decision-making within a financial organization. Responsibilities include data analysis, model testing, performance monitoring, and translating business needs into technical requirements. The role requires strong analytical and programming skills, particularly in SQL and Python, and experience in a financial institution. | Ship | 5 |
| Quant Analytics Manager – Fraud Prevention Strategy This role focuses on optimizing fraud prevention strategies within a financial institution, leveraging AI/ML and graph analytics. The core responsibilities involve analyzing fraud drivers, developing strategic recommendations, monitoring and maintaining fraud authorization strategies, and leading roadmap initiatives. The role requires developing new model input variables and expanding data capabilities to improve authorization accuracy, while also ensuring compliance and collaborating with various internal teams. | Data | 5 |
| Seattle Hiring Event - Architecture & Engineering - June 15th/16th 2026 This role focuses on designing and implementing secure solutions for software applications and platform products, with a specific emphasis on creating AI-enabled cybersecurity solutions and reusable frameworks. The responsibilities include architecting complex security frameworks, evolving security protocols, implementing IAM, and leading cybersecurity strategy for AI-enabled products. While AI/ML is mentioned as a practical cybersecurity discipline and the role involves creating AI-enabled solutions, the core function is cybersecurity architecture and engineering, not direct AI/ML model development or research. | — | 5 |
| Solution Analyst II- AI This role focuses on integrating large language models (LLMs) into enterprise workflows, specifically within the Global Private Bank Tech Investments team at JPMorgan Chase. The Solutions Analyst II will bridge the gap between business stakeholders and developers, translating requirements into technical solutions. Key responsibilities include extracting insights from data, collaborating on architecture designs, managing project dependencies, and promoting continuous improvement. The role requires experience in solutions analysis, data fluency, and technical curiosity. Preferred qualifications include experience with LLM APIs, RAG patterns, prompt engineering, evaluation, risk controls, and LLM orchestration frameworks like LangChain. | Agent | 5 |
| Wealth Management , Chief Investment Officer Portfolio Analytics Team, Vice President The role involves quantitative research for portfolio analytics within Wealth Management. Responsibilities include developing and running risk and performance attribution models for multi-asset portfolios, building and maintaining models using Python and MATLAB, and applying statistical and machine learning techniques to investment research. The role also involves data management, model documentation, testing, and validation, as well as collaboration with portfolio managers and technology teams. | Data | 5 |
| Software Engineer I Software Engineer I role focused on developing tools for Model Risk Governance & Review (MRGR) at JPMorgan Chase. The role involves building applications primarily in Python, integrating LLMs to enhance automation, reporting, and decision-making, and supporting model reviewers and governance teams. Experience with full-stack development, Python, and integrating ML models is required. | Agent | 5 |
| Product Manager - GIB Coverage & GCB - Vice President Product Manager at JPMorgan Chase, focusing on Global IB Coverage & GCB. This VP-level role involves leading the end-to-end product life cycle, defining strategy and roadmap, gathering customer feedback, and collaborating with engineering, operations, and cross-functional teams (including compliance, legal, technology). The role emphasizes delivering high-quality, scalable, and resilient products, complying with regulations, and driving continuous improvement through data. While the role mentions embracing emerging technologies like AI to foster innovation, the core responsibilities are centered around traditional product management for banking products, not directly building or shipping AI models. | — | 5 |
| Product Associate - Employee Platforms (AI Tooling, RAG, LLM) Product Associate role focused on using AI tooling, RAG, and LLMs to enhance core Product Management workflows like research synthesis, writing, analysis, and prototyping within employee platforms at JPMorgan Chase. The role involves collaborating with cross-functional teams, driving product discovery and delivery, and building foundational AI fluency. | — | 5 |
| Operations Automation Associate This role focuses on delivering AI-enabled intelligent automation and workflow digitization within a fintech environment. The primary responsibility is to lead the end-to-end delivery of automation solutions, integrating tools like Tableau, Alteryx, UiPath, Power Apps, and Pega. The role involves understanding processes, designing solutions, ensuring quality and accuracy, and collaborating with stakeholders to optimize business functions. While AI tools are used, the core craft is not building AI models but rather implementing and managing automation solutions. | — | 5 |
| Outsourcing Operational Risk Management Lead - Vice President This role is responsible for overseeing operational risks related to third-party/outsourcing within a financial institution. A key aspect involves contributing to the development and implementation of AI-enhanced risk monitoring capabilities, specifically leveraging LLM-based functionalities to improve risk assessment and oversight. The role requires experience in financial services risk management, control assessments, and stakeholder influence, with a specific requirement for experience using AI models to drive value in risk management. | Agent | 5 |
| Principal Software Engineer Principal Software Engineer at JPMorgan Chase focused on designing, developing, and maintaining complex, scalable Java frameworks using Spring Boot, with a significant emphasis on integrating AI solutions, including RAG and Applied AI, into enterprise systems. The role involves hands-on coding, architectural design, leading best practices, and providing technical thought leadership in AI. | ServeAgent | 5 |
| Data Product Management, Vice President The Data Product Management, Vice President role at JPMorgan Chase focuses on building and managing HR data products that support reporting, analytics, and AI/ML initiatives. The role involves defining strategy, roadmaps, and OKRs, partnering with various teams including AI/ML, and ensuring data governance, quality, and lifecycle management. While the role supports AI/ML, it is not directly building AI models but rather managing the data products that feed into them. | — | 5 |
| Analytics Solution Associate This role focuses on building and maintaining automated analytical workflows and tools for financial pricing operations, with an emphasis on evaluating and applying AI, generative AI, and intelligent automation to improve efficiency and decision-making. The role involves developing solutions using SAS, Alteryx, Python, and SQL, and supporting AI-assisted productivity use cases. | Agent | 5 |
| IPB Digital & Data Transformation - Product Manager - VP Product Manager for an AI-enabled Advisor platform at JPMorgan Chase, focusing on enhancing advisor workflows, client engagement, and service delivery. The role involves defining product strategy, roadmaps, and requirements for digital capabilities, with an emphasis on an AI-first approach to build a scalable and intelligent platform. | Agent | 5 |
| Product Manager Product Manager for AI for Design within the Corporate & Investment Bank (CIB) Digital, Data & AI team. Responsible for the end-to-end product life cycle, from strategy and discovery to launch and client experience, focusing on building tooling to enable the design group and facilitate developer experience. | — | 5 |
| Business Banking Governance Business Analyst Senior Associate This role focuses on streamlining processes and improving data risk management within Business Banking. The Business Analyst will define business requirements, ensure adherence to policies, and implement initiatives to strengthen risk mitigation and data management controls. They will also partner with stakeholders to deliver analytics solutions and stay current on LLM-enabled capabilities. | — | 5 |
| Quantitative Trading & Research – Markets Treasury – Associate Associate Quantitative Researcher role focused on delivering data-driven solutions for liquidity, funding, and capital management in financial markets. The role involves designing and implementing advanced models, developing predictive tools, and automating reporting processes using AI/ML applications. It requires strong quantitative, analytical, and programming skills, particularly in Python, with experience in large-scale systems and financial markets. | Ship | 5 |
| AI Controls & Product Management Associate Product Manager role focused on AI controls and governance within a financial services company. The role involves managing AI control applications, reviewing AI use cases for risks, and contributing to the AI controls strategy. Requires experience in financial services, product management, and familiarity with AI governance frameworks. | — | 5 |
| Wealth Management , Chief Investment Officer Equities Team, Associate / Vice President This role involves applying AI and machine learning techniques to enhance investment research and portfolio management within a Wealth Management Chief Investment Officer team. The responsibilities include risk modeling, portfolio construction, and quantitative research using Python and large datasets, with a focus on equity markets. | Data | 5 |
| Technology Risk and Controls Lead This role focuses on technology risk and controls within an AI/ML Data Platform at JPMorgan Chase. The lead will identify, quantify, and mitigate technology risks, ensure control effectiveness, and provide subject matter expertise to stakeholders. The role requires experience in technology risk management, familiarity with risk frameworks and regulatory requirements, and a strong understanding of AI/ML technologies and associated risks. | — | 5 |
| Quant Analytics Senior Associate Quant Analytics Senior Associate role at JPMorgan Chase focusing on marketing campaign management lifecycle for small businesses. Responsibilities include leading analytical financial optimization, building client relationships, leveraging analytics tools (including AI applications), collaborating with marketing teams, and coaching junior members. Requires a Master's or Bachelor's degree in a quantitative field with 7+ years of experience, proficiency in SQL, Python, SAS, R, Snowflake, and experience in financial analytics and marketing strategy. | — | 5 |
| Software Engineer III - Python & Databricks Software Engineer III focused on developing and enhancing critical software applications, with responsibilities including building ML execution pipelines using PySpark, Databricks, Python, and Streamlit, as well as real-time model execution processes. The role involves system design, development, troubleshooting, and contributing to software engineering communities. | Data | 5 |
| Lead Software Engineer - Salesforce Lead Software Engineer for Salesforce at JPMorgan Chase, focusing on building and enhancing AI-driven solutions using Agentforce within the Consumer & Community Banking Technology Team. The role involves architecting scalable Salesforce solutions, developing Apex, LWC, and JavaScript, integrating with external systems, and providing technical guidance. | Agent | 5 |