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.
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.
| Title | Stage | AI score |
|---|---|---|
| Platforms & Infrastructure Vice President – APAC Chief Data & Analytics Office Vice President role focused on overseeing the delivery and integration of APAC-specific data and AI platforms within JPMorgan Chase's Chief Data & Analytics Office. The role emphasizes building robust, scalable, and compliant infrastructure to support data-driven transformation, manage risks, and meet business and regulatory needs in the financial services sector. | — | 5 |
| Data Products - Associate, APAC Chief Data & Analytics Office JPMorgan Chase's Chief Data & Analytics Office (CDAO) is seeking a Data Products Associate in Singapore to contribute to the design, development, and delivery of innovative data products. The role involves executing data product strategy, collaborating with stakeholders, enabling APIs and self-service data access, supporting data product delivery workflows, and implementing enterprise data platforms. The position emphasizes operational excellence, collaboration, and continuous improvement, with a focus on data governance and compliance with regulatory requirements. | — |
| 5 |
| Quantitative UX Researcher (LLM), Vice President Quantitative UX Researcher (LLM) at JPMorgan Chase, focusing on understanding digital product users and driving decisions to improve user experience. This role involves designing and executing quantitative research, analyzing data with advanced methods, and collaborating with cross-functional teams to inform product strategy and prioritization. The role requires experience in generative and evaluative UX research, surveys, A/B tests, statistical modeling, and data analysis using Python or R. | — | 5 |
| Principal Software Engineer - Java , AI Principal Software Engineer role at JPMorgan Chase within the Asset Wealth Management, Client Onboarding Team, focusing on enhancing client onboarding processes by integrating AI/ML technologies, NLP, and predictive models into existing systems. The role involves designing and implementing robust technology solutions, leading AI initiatives, and collaborating with data scientists, while also requiring expertise in Java, J2EE, and AWS cloud solutions. | Post-train | 5 |
| APAC Asset Management - Social Media Strategist - Vice President Social Media Strategist for JPMorgan Chase's Asset Management division in APAC, focusing on client acquisition and retention through strategic social media campaigns, content creation, and performance analysis. The role involves leveraging AI and data-driven insights to enhance brand recognition, engagement, and business value, while ensuring compliance with regulations. | — | 5 |
| Digital Data Owner Lead - Vice President This Vice President role focuses on data ownership and governance within a financial institution, aiming to enable AI/ML use cases by ensuring data quality, defining critical data, and developing AI-ready data products. The role involves managing data lifecycles, mitigating risks, and collaborating with technology and business partners to deliver impactful data solutions. | Data | 5 |
| Sr Lead Software Engineer - Java, Kafka, AI, Securities Experience, Senior Lead Software Engineer at JPMorgan Chase focused on US Listed Options platforms. This role involves leading technology teams, designing and developing mission-critical applications, migrating legacy systems to cloud-native architectures, and driving the adoption and integration of AI technologies. Requires deep experience in software engineering, securities processing, financial services, and AI-based development. | Ship | 5 |
| Product Delivery Manager - Data & AI - Vice president Product Delivery Manager (VP) at JPMorgan Chase, focused on leading firmwide data/ML/AI projects and programs within the Chief Data and Analytics Office (CDAO). The role involves strategic direction, end-to-end execution, stakeholder management, and ensuring alignment with bank objectives, with a strong emphasis on data management, lineage, controls, and regulatory compliance (BCBS). The position requires technical savviness in data architecture and familiarity with AI/ML operations, aiming to enhance customer experiences through data-driven innovation. | — | 5 |
| Lead Software Engineer- Market Risk Lead Software Engineer for Market Risk at JPMorgan Chase, focusing on Python development to deliver practical solutions for risk management. The role involves transforming MVPs into production solutions, supporting VaR and Stress workflows, and using LLMs as an AI generalist to enhance prototyping, documentation, and operational support. | Agent | 5 |
| AI/ML Solutions Enablement – Vice President, APAC Chief & Data Analytics Office This role focuses on enabling the adoption and value realization of AI/ML solutions within a financial services context in the APAC region. It involves identifying use cases, translating business needs into technical plans, fostering AI literacy, and supporting the operationalization of AI/ML capabilities. The role requires strong collaboration with business and technology teams, understanding of the data lifecycle, and the ability to communicate complex AI concepts to business stakeholders. While it deals with AI/ML solutions, the core function is enablement and productization rather than direct AI/ML model development or research. | — | 5 |
| Business Analyst- Associate Business Analyst role focused on regulatory and data-focused initiatives within the Treasury and Chief Investment Office at JPMorgan Chase. The role involves translating requirements, supporting data analysis, and ensuring high-quality implementation for regulations like Basel III Finalization. It requires experience in financial institutions, data analysis, and the use of AI tools for productivity. | — | 5 |
| Asset & Wealth Management - Equities Quantitative Investment Analyst - Associate/ Vice President JPMorgan Chase is seeking a Quantitative Investment Analyst to join their Equity Portfolio Management team. The role involves combining fundamental equity analysis with quantitative and factor-based approaches, supporting risk modeling, portfolio construction, and quantitative research using Python/R. The candidate will also contribute to the application of AI/ML techniques to enhance investment research and portfolio management. | Data | 5 |
| Process Improvement Associate II This role focuses on process improvement and operational excellence within a large enterprise, leveraging AI and LLM tools to drive innovative solutions and optimize business processes. The primary focus is on applying existing AI tools to enhance business operations rather than developing core AI models. | — | 5 |
| Asset Management - Investment Platform Trading Research - Executive Director The role involves quantitative trading research, optimizing a systematic trading platform using statistical models and machine learning, and providing execution consultancy. Responsibilities include designing research projects, analyzing market data for signals, enhancing trading performance, developing optimal execution strategies, and creating trade analytics frameworks with dashboards and tools for TCA, market impact, and slippage. The candidate will lead cross-functional projects and collaborate with traders, portfolio managers, and technology teams. Requires advanced Python, financial database expertise, trading knowledge (market-making, statistical arbitrage, systematic trading), technical communication skills, market microstructure knowledge, Git experience, and applied ML experience (RL, NLP, deep learning). | Serve | 5 |
| Technology Support II - Digital Channels Escalations This role focuses on supporting and maintaining production application flows within the Digital Channels technology stack at JPMorgan Chase. The primary responsibilities include triaging and managing escalations, identifying and resolving service issues, and collaborating with various teams. A key aspect of the role involves leveraging enterprise-authorized AI tools to assist in incident triage, root-cause analysis, and improving operational efficiency, with a strong emphasis on validating AI outputs and adhering to security protocols. While the role uses AI tools, it does not involve building or shipping AI models. | — | 3 |
| Lead Software Engineer - Java Lead Software Engineer at JPMorgan Chase focused on enhancing, building, and delivering technology products within the Consumer and Community Banking's technology team. The role involves executing software solutions, developing secure code, and driving team adoption of enterprise-authorized AI-assisted engineering practices. Responsibilities include troubleshooting, leading evaluation sessions, and ensuring responsible AI use in engineering workflows. Requires strong Java and AWS experience, API development at scale, and understanding of SDLC and agile methodologies. | — | 3 |
| AI Payment Sales Strategy - Senior Associate This role supports the evolution of Payments Sales by contributing to AI strategy and advancing GenAI solutions to enhance sales productivity and client engagement. It partners with sales, AI, and product teams to embed emerging capabilities into the sales lifecycle, improve client throughput, and accelerate solutioning. The role also involves translating business needs into actionable insights, enhancing AI-driven platforms, and evaluating emerging AI trends. | — | 3 |
| Technology Support I This role provides technology support for production application flows in a commercial and investment banking environment. The primary focus is on ensuring operational stability, availability, and performance by troubleshooting, maintaining, and resolving service interruptions. The role involves using enterprise-authorized AI capabilities to assist in incident triage and problem analysis, with a strong emphasis on validating AI outputs and adhering to security protocols. | — | 3 |
| Business Analyst Manager This role is for a Business Analyst Manager within JPMorgan Chase's CIB Payments Operations team. The manager will lead a team of Data Analysis Associates to improve operational efficiency and support strategic fraud initiatives. Responsibilities include team leadership, roadmap ownership for reporting and analytics, driving data analysis for fraud trends, managing data pipelines, leading quality and change management, delivering reporting and visualizations, strengthening controls, managing delivery and SLAs, and championing ways of working. The role requires experience in data, analytics, or technology supporting fraud/risk/operations, people leadership, data analysis skills, proficiency in automation/BI tools, and understanding of software delivery lifecycles. Experience with JIRA, Alteryx, Tableau, SQL, and payments/card domains is preferred, along with some exposure to ML-adjacent solutions and AI tools. | — | 3 |
| Campaign Testing Automation This role focuses on developing intelligent testing frameworks using tools like Python, Selenium, and internal AI tools to automate validation of campaign assets (online and offline)—such as emails, microsites, direct mail, and online ads. The analyst will also play a key role in identifying strategic testing gaps by mapping full campaign and customer journeys and designing scalable testing solutions. | — | 3 |
| Control Manager - Associate This role focuses on analyzing risks and designing controls within a financial services context, leveraging digital tools, automation, and data analytics. While it mentions AI/ML and LLM practices, the core function is risk management and control, not direct AI/ML model development or deployment. The role aims to support innovation and technology adoption within risk management. | — | 3 |
| Senior Associate – AI Solutions PMO & Enablement This role is a non-technical PMO and enablement lead for an AI Solutions portfolio within a financial institution. It focuses on operational rigor, transparency, governance, and communication to support AI initiatives, partnering with various teams including product, technology, and risk. The role requires strong organizational and execution skills, with an interest in AI but no hands-on modeling. | — | 3 |
| Commercial & Investment Bank - Research Analyst (12 months Fixed Term Contract) Research Analyst role at JPMorgan Chase focused on equity research, requiring financial modeling, valuation, and industry analysis. The role involves applying data analytics, automation, and AI/LLM tools to enhance analysis and workflows, alongside traditional research tasks. Requires a minimum of 1 year of experience in a relevant analytical role and a degree in a quantitative or financial field, with a core capability in statistics, programming, and AI/LLM use. | — | 3 |
| Technology Support Lead - Splunk and Dynatrace, AWS/GCP/Azure, This role focuses on leading technology support operations, ensuring the stability, availability, and performance of production services. It involves leading teams, troubleshooting issues, and leveraging enterprise-authorized AI capabilities for incident triage and operational workflows, with a strong emphasis on human-in-the-loop validation and adherence to ITIL framework. | — | 2 |
| Lead Software Engineer Lead Software Engineer for Corporate Technology, Risk Technology team, focusing on site reliability and driving adoption of AI-assisted engineering practices. Responsibilities include leading reliability initiatives, mentoring engineers, and ensuring responsible AI use within development workflows. | — | 2 |
| Infrastructure Engineer III- Production Support with monitoring This role focuses on maintaining and managing large-scale infrastructure (servers, network, databases) for API Gateway Platforms, with an emphasis on end-to-end monitoring, converting operational problems into software solutions, and ensuring capacity planning. The role involves using enterprise-authorized AI capabilities to accelerate monitoring and capacity analysis, and applying AI-assisted approaches for remediation workflows. It requires strong knowledge of infrastructure disciplines, SRE, scripting, and cloud technologies, with a focus on observability, SLAs, and SLOs. | — | 2 |
| Digital Asset Management (DAM) Administrator-Senior Associate This role manages a Digital Asset Management (DAM) platform for CIB Marketing, focusing on organizing, tagging, and retrieving digital assets. The role will involve migrating the DAM to a cloud-based application and integrating it with new AI-powered applications, supporting marketers and creatives in an AI-enabled future. | — | 2 |
| Lead Infrastructure Engineer - Optical Networking Lead Infrastructure Engineer focused on optical networking, utilizing enterprise-authorized AI capabilities to assist in infrastructure analysis, design documentation, and automation routines. The role involves driving optical transport network workstreams, coordinating projects, providing escalation support, and maintaining infrastructure. | — | 2 |
| Transaction Analyst This role focuses on transaction analysis and optimization within a fintech environment, leveraging AI and automation tools to improve efficiency and customer experience. The analyst will gather data, research issues, and contribute to team projects, with a baseline knowledge of transaction management and AI/automation technologies being essential. | — | 2 |
| Technology Support III- Front Office Application Support Application Support specialist in J.P. Morgan Chase Commercial & Investment Bank (CIB) using technical skills (Python, Copilot and DevOps) to deep dive into front office flow related application issues and build/enhance software solutions to improve the support experience for business users. Uses enterprise-authorized AI capabilities for incident triage and trend analysis. | — | 2 |
| KYC Specialist - Associate KYC Specialist role at JPMorgan Chase in Istanbul, Türkiye, focused on ensuring compliance with regulations for onboarding new clients and managing existing ones. The role involves acting as a subject matter expert, partnering with various internal teams and clients, evaluating complex documents, and producing quality work under time constraints. A key aspect is the use of approved AI tools for tasks like document summarization and data extraction, with an emphasis on human review and validation. | — | 2 |
| Quant Modeling [Multiple Positions Available] This role focuses on validating forecasting and other models used in consumer lending portfolios, including CCAR and CECL models. It involves assessing conceptual soundness, designing tests, comparing outputs, communicating findings to stakeholders and regulators, monitoring performance, and ensuring compliance with SR 11-7. The role also involves educating junior team members. | — | 2 |
| Transaction Monitoring - Vice President This role is for a Vice President at JPMorgan Chase to manage transaction monitoring operations. The role involves leading teams, optimizing processes, ensuring compliance, and leveraging AI and automation for efficiency and accuracy in document transaction and remittance processing. It focuses on operational excellence and strategic decision-making within the fintech domain. | — | 2 |
| Lead Software Engineer - Java Full Stack Lead Software Engineer role focused on full-stack development within a fintech environment, emphasizing the integration and responsible use of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. The role involves designing, developing, and troubleshooting software solutions, creating automated tests, and understanding business functions, with a strong requirement for Java expertise and cloud experience. | — | 2 |
| Business Banking Marketing- Acquisition Campaign Management-Vice President This role is for a Business Banking Marketing Acquisition Campaign Management Vice President at JPMorgan Chase. The primary focus is on leading end-to-end acquisition campaigns across digital and direct mail, ensuring compliance and executional excellence. The role involves translating priorities into executable plans, coordinating partners, and launching campaigns. A key aspect is modernizing campaign delivery through automation and AI to enhance speed, accuracy, and results, driving new customer growth while maintaining customer experience and compliance standards. The role also includes leading, coaching, and developing a team. | — | 2 |
| Lead Software Engineer - React and Full Stack Java Lead Software Engineer role at JPMorgan Chase focused on full-stack development using React and Java. The role emphasizes integrating enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed, including using AI tools for code review, testing, and troubleshooting. It requires strong Java, J2EE, and JavaScript/React skills, experience with microservices, cloud-native AWS, and DevOps. The position also requires understanding responsible AI use and coaching engineers on safe adoption. | — | 2 |
| Product Director [Multiple Positions Available] Product Director role focused on leading a team that develops and markets data analytics, data management, and data publishing tools and products. Key responsibilities include developing knowledge graphs, guiding data modeling, advocating for open-sourced data processing pipelines, researching data governance methodologies, developing metrics for metadata, contributing to data architecture, and influencing stakeholders. The role also involves building and prioritizing product backlogs and ensuring compliance with industry standards. | — | 2 |
| Quant Analytics [Multiple Positions Available] Quant Analytics role at JPMorgan Chase focused on using analytics and financial modeling to optimize marketing campaigns, customer targeting, and product strategies within the financial services industry. Requires experience in P&L analytics, customer segmentation, mass media measurement, and data manipulation with SQL and Python, as well as team management and stakeholder liaison. | — | 2 |
| Manager of Software Engineering: Data Analytics Manager of Software Engineering for Data Analytics within JPMorgan Chase's Consumer & Community Banking division. This role focuses on enhancing, building, and delivering data collection, storage, access, and analytics solutions. Responsibilities include guiding a team of software engineers, setting output expectations, managing stakeholder relationships, and ensuring compliance. Requires extensive experience in cloud-based applications, Python (Pyspark), system design, and agile methodologies. Experience with data processing pipelines and driving adoption of AI engineering tools is also noted. | — | 2 |
| Business Analyst, Senior Associate This role focuses on translating business requirements into technical specifications for reporting and analytics products, including those powered by AI and automation. The Business Analyst will bridge the gap between business stakeholders and data/engineering teams, overseeing the development, testing, and deployment of these products. While AI is mentioned as a component of modernization, the core function is business analysis and product delivery for reporting. | — | 2 |
| Asset Management Data Quality Lead - Vice President This role focuses on defining and executing a data quality tooling strategy within Asset Management, aiming to improve data quality outcomes through practical tooling, operating practices, and transparency. While AI/ML is mentioned as a potential tool for accelerating detection, triage, and remediation of data quality issues, it is not the core craft of the role. The primary focus is on data management, governance, strategy, and product leadership for data quality tooling. | — | 2 |
| Python Quant Data Engineer - Systematic Trading Technology Python Quant Data Engineer role focused on building and supporting data pipelines, research infrastructure, and tools for a systematic equities trading business. Requires strong Python, KDB/Q, and data processing experience, with knowledge of machine learning and financial services. | — | 2 |
| Compliance Risk Management Senior Officer - Associate This role supports Auto Financing, Pricing, and Credit strategies within Compliance, Conduct, and Operational Risk (CCOR) at JPMorgan Chase. The Senior Associate will provide independent oversight and assessment of risks, particularly focusing on business-driven initiatives including the adoption of AI capabilities. Responsibilities include evaluating compliance and operational risks, recommending enhancements, and leveraging AI/ML tools for data analysis and oversight routines. The role requires experience in risk management and the ability to analyze AI/ML-enabled solutions within a regulated financial environment. | — | 2 |
| Quality Team Leader - Risk & Control - Budget Only (Commercial & Investment Bank) This role focuses on quality control for Know Your Customer (KYC) processes within a financial institution. While it mentions leveraging artificial intelligence to analyze quality results and propose improvements, the core function is quality assurance and process adherence, not direct AI/ML model development or deployment. The primary output is ensuring compliance and accuracy in KYC records. | — | 2 |
| Quant Analytics Associate - Time Series Forecasting Strategist - Workforce Planning This role focuses on time-series demand forecasting for contact center operations, applying operational analytics and strategy tools to enhance the forecasting process. Responsibilities include identifying opportunities for improvement, monitoring and evaluating forecast accuracy, providing analytical leadership, and exploring automation frameworks using Python. The role requires a strong quantitative background with experience in forecasting, modeling, inferential statistics, and proficiency in tools like Python, R, or SAS. | — | 2 |
| Product Director - Data/AI Onboarding & Change Management Product Director role focused on driving the adoption and rollout of strategic Data and AI programs within JPMorgan Chase. The role involves managing the end-to-end onboarding lifecycle, translating objectives into adoption plans, coordinating across programs, and ensuring delivered capabilities meet business needs. It requires strong stakeholder management and program governance within a regulated financial services environment. | — | 2 |
| International Consumer Banking - Business Reporting Associate This role focuses on business reporting and data analysis within the International Consumer Banking sector. While it involves using AI tools for analysis and handling big data, the core responsibilities are in data wrangling, dashboard development, and providing insights, rather than building or researching AI models. The role requires strong analytical skills, SQL, Excel, and potentially Python for data modeling. | — | 2 |
| Senior Internal Auditor - Associate – Private Bank/Wealth Management Solutions This role is for a Senior Internal Auditor within JPMorgan Chase's Private Bank/Wealth Management Solutions team. The primary focus is on planning, executing, and documenting audit engagements, evaluating risks and controls, and providing insights to strengthen the control environment. A key aspect of the role involves identifying opportunities to leverage AI-enabled tools, prompt engineering, and data analytics to enhance audit quality and efficiency across the audit lifecycle. The role requires experience in internal auditing, understanding of internal control concepts, and knowledge of relevant financial industry regulations. Experience with data analytics and large language models is also required, with a preference for AI-enabled productivity tools. | — | 2 |
| Principal Technical Program Manager - Global Liquidity & Account Solutions This role is a Principal Technical Program Manager at JPMorgan Chase within the Global Liquidity & Account Solutions team. The primary focus is on leading and directing complex technology projects and programs, managing multiple workstreams, and ensuring disciplined planning, governance, and predictable delivery. The role involves stakeholder management, risk mitigation, and driving accountability. A key aspect is engaging with and driving the delivery of multiple AI initiatives and integrating AI into the delivery lifecycle, though the core function is program management rather than direct AI/ML development. | — | 2 |
| Product Associate [Multiple Positions Available] Product Associate role at JPMorgan Chase focused on developing product strategy, managing backlogs, and leading the execution of digital products, particularly for client onboarding and KYC solutions. The role involves cross-functional collaboration and requires understanding of business, policies, procedures, and compliance. While it mentions integrating with LLMs for AI-based strategy, the core function is product management within a regulated fintech environment. | — | 2 |