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, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
JPMorgan Chase currently has 450 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (6), Applied AI ML Director (5), Applied AI ML Lead (4), Applied AI ML-Vice President (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (56%), 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 (71 roles), India (52 roles), Singapore (12 roles).
Job postings at JPMorgan Chase most frequently reference: agent orchestration, llm observability, model serving, rag, fine tuning.
In the past 30 days, JPMorgan Chase has posted 161 new AI-related roles. That is a -33% change versus the prior 30 days (242 → 161).
| Title | Stage | AI score |
|---|---|---|
| Senior Principal Software Engineer, Global Customer Platform Senior Principal Software Engineer role at JPMorgan Chase focusing on leading the strategy and development of customer platform technologies, creating novel code solutions, and driving the adoption of technical methods. The role requires deep expertise in building and operating high-throughput data platforms and experience applying AI/ML to enhance engineering outcomes and platform intelligence within a secure, stable, and scalable environment. | — | 5 |
| Senior Director of Product - API Management Platform Senior Director of Product for an API Management Platform at JPMorgan Chase. The role focuses on leading the product strategy, development, and innovation of a large-scale, mission-critical platform that serves both internal and external developers. A key aspect of the role involves leveraging AI technologies, particularly RAG, to enhance developer experience and platform capabilities, ensuring scalability, reliability, and security. | — | 5 |
| Securities Services Operations Transformation Test Manger, VP This role is for a Test Manager at JPMorgan Chase focused on transforming testing practices within Securities Services using automation, AI, and advanced analytics. The primary focus is on improving efficiency, coverage, and quality of testing through strategic initiatives, process standardization, and adoption of new technologies. While AI is mentioned as a tool to enhance testing, the core function is not building AI models but rather applying AI tools and driving transformation in a financial services context. | — | 5 |
| Data Scientist Lead Lead Data Scientist at JPMorgan Chase focused on marketing analytics, leveraging modern data science and AI tools to improve measurement and streamline processes. Requires strong analytical, communication, and project management skills. | — | 5 |
| Product Manager, AWS-Snowflake Infrastructure Specialist Product Manager for SaaS Data Infrastructure Team, responsible for launching Data/AIML products across JPMC. Focuses on end-to-end product lifecycle, customer voice, and collaboration with engineering and data science teams. Requires familiarity with big data technologies, GenAI use cases, and cloud platforms like AWS and Snowflake. | — | 5 |
| Product Manager - Vice President - Payments Product Manager role focused on customer insights within Payments Data & Analytics at JPMorgan Chase. The role involves end-to-end product lifecycle management, developing strategy, managing backlogs, defining KPIs, and collaborating with cross-functional teams. A key aspect is driving the adoption of AI-powered features and products, translating AI/ML concepts into product capabilities, and creating new revenue streams. Experience with AI/ML concepts and creating AI solutions is required. | — | 5 |
| Quant Analytics Associate Senior Quant Analytics Associate Senior role at JPMorgan Chase within the Consumer and Community Banking division, focusing on Collections and Recovery Operations. The role leverages data governance, predictive analytics, data science, and machine learning to understand and predict customer behavior, optimize performance, and manage operational expenses. Responsibilities include data programming, trend monitoring, applying AI technology for efficiency, and collaborating across functions to implement strategies and mitigate risks. Requires intermediate to advanced knowledge in statistics, predictive modeling, and machine learning, with proficiency in SQL, SAS, R, Python, and visualization tools. | Post-train | 5 |
| Compliance Management Lead - Vice President This role is for an AI Compliance, Conduct and Operational Risk (CCOR) Vice President within JPMorgan Chase's Data & AI CCOR team. The primary focus is on providing independent second-line coverage for the Central Data & Analytics Office's (CDAO) AI initiatives, ensuring appropriate governance and controls for safe scaling and adoption of AI across the firm. Responsibilities include assisting in aligning policies, guidance, training, and testing for AI, addressing operational, compliance, and conduct risks, and supporting engagement with regulatory bodies like the EU AI Act. The role requires expertise in AI risk management, governance, and collaboration with various stakeholders to ensure compliance and manage risks associated with AI-enabled platforms and products. | — | 5 |
| Lead Software Engineer - Java & AI Lead Software Engineer for a cloud-based payments platform, focusing on high performance and low latency. The role involves building new payment flows end-to-end, leveraging AI extensively for development processes, and contributing to innovation and operational stability in a rapidly expanding business. | — | 5 |
| SRE III- Data & AWS Site Reliability Engineer focused on managing and supporting an AWS Databricks platform for data and analytics teams, including data engineering, Data Science/ML, and application teams. Responsibilities include platform design, setup, monitoring, automation, and incident response, with a strong emphasis on SRE best practices and operational excellence. | — | 5 |
| Lead Technical Program Manager - AIML Databricks Lead Technical Program Manager for AI/ML Data Platforms within JPMorgan Chase's Chief Data & Analytics Office. This role focuses on managing complex technology programs related to data platforms, including Databricks and Snowflake, and cloud-native data solutions on AWS. The position requires strong program management, agile delivery, technical fluency in data architectures, and understanding of data governance and compliance in an enterprise setting. While the role supports AI/ML initiatives, its core function is program management of the underlying data infrastructure. | — | 5 |
| Senior Lead Software Engineer - Senior Python Developer Senior Lead Software Engineer with a focus on Python development within Cybersecurity Technology & Controls. The role involves architecting and deploying scalable solutions on AWS, developing secure code, and acting as a subject matter expert in areas like AI-powered agents and data automation pipelines. The engineer will influence the use of cutting-edge technologies such as LLMs, AI frameworks, and vector databases, and integrate AI/LLM-based services to build intelligent automation components. | Agent | 5 |
| Quant Analytics Senior Associate This role supports advanced analytics projects for AML KYC operations within a fintech company. The primary focus is on developing and reporting performance metrics, analyzing customer journeys, and enhancing production reporting. While the role leverages AI-powered tools like LLMs and Copilot and requires familiarity with AI concepts, it does not involve building or shipping AI models directly. The role is customer-facing and aims to improve business function performance and provide self-service tools. | — | 5 |
| Senior Product Associate Senior Product Associate role at JPMorgan Chase in Fintech, focusing on product development and optimization using user research, data analysis, and cross-functional collaboration. The role involves identifying product opportunities, defining requirements, and tracking product health metrics, with an emphasis on leveraging AI tools for efficiency. | — | 5 |
| Card Fraud Strategy - Senior Associate This role focuses on designing and validating fraud strategies and capabilities within the fintech domain. It involves data analysis, leveraging analytics and AI/ML tools to improve fraud detection, and partnering with product, technology, and operations to develop solutions. The primary output is a fraud strategy that balances risk mitigation, financial performance, customer experience, and operational efficiency, fitting into a shipped product context. | — | 5 |
| Technology Risk and Controls Lead - Portfolio of Applications This role serves as a Technology Risk and Controls Lead for a portfolio of applications, providing expertise in risk identification, remediation guidance, and reporting. It requires experience in assessing technology risks for AI/ML solutions and managing risk frameworks within a corporate environment. | — | 5 |
| AI Business Initiatives Manager This role is a Business Initiatives Manager within JPMorgan Chase's Commercial & Investment Bank, focusing on the Client360 platform. The role involves converting strategy into execution for initiatives that improve operational effectiveness and business adoption, partnering with product and technology teams. It operates within the Data, Digital & AI division, implementing data- and AI-enabled commercial solutions and tracking progress. The manager will support business leaders, engineering, and operations, ensuring outcomes are measurable and aligned with program objectives. Key responsibilities include supporting initiative development and execution, participating in program planning and risk management, contributing to business initiatives from ideation to implementation, coaching junior team members, collaborating with various teams, defining business experiences, supporting foundational business processes, establishing KPIs, leveraging analytics (including ML/AI) for insights, understanding internal team needs, and utilizing business initiatives for personalized client experiences and streamlined operations, while supporting regulatory compliance. | — | 5 |
| Software Engineer I Software Engineer I at JPMorgan Chase within the Model Risk Governance & Review (MRGR) team, focused on developing tools for MRGR Analytics to improve efficiency and reduce duplication of effort. The role involves building dashboards, translating business requirements into applications (primarily Python/Athena), integrating LLMs into existing systems for automation and decision-making, and collaborating with cross-functional teams. Experience with full-stack development, Python, and integrating ML models (including LLMs) is required. | Agent | 5 |
| Software Engineer III - React / TypeScript, Gen AI, Frontend Software Engineer III role focused on building frontend AI-enabled user experiences and improving engineering velocity using AI developer tools. The role involves designing and developing reusable React components, high-performance UIs, and integrating Generative AI features, while emphasizing correctness, security, and quality. It's a pure frontend position within the Securities Services team at JPMorgan Chase. | — | 5 |
| Senior Lead Software Engineer Analytics - Python Lead Software Engineer for JPMorgan Chase's Wholesale Credit Risk Technology Analytics Team, focusing on implementing critical technology solutions, developing secure production code, and identifying automation opportunities. Requires Python and Java proficiency, agile methodology knowledge, and cloud-native experience. LLM Engineering experience is preferred. | Data | 5 |
| Compliance - Technology Operational Risk Management Lead - Vice President This role is for a Technology Operational Risk Management Lead within JPMorgan Chase's Consumer and Community Banking (CCB) line of business. The primary focus is on independent oversight of technology and cybersecurity operational risk management practices. Key responsibilities include conducting risk assessments, evaluating controls, and developing data-driven approaches using agentic AI and advanced analytics for risk identification and control assessment. The role requires collaboration with various technology and business teams, and engagement with stakeholders to manage identified risks within the firm's Operational Risk Management Framework. Experience with AI/ML tools, AI governance, and ethical considerations is also required. | — | 5 |
| Business Operations Manager - Machine Learning and AI This role focuses on operationalizing the management framework for a scaling AI/ML organization within a financial services context. The Business Operations Manager will lead strategy, design operating models, drive alignment, and ensure effective execution and governance for AI initiatives, aiming to transform how value is delivered to customers and the business. | — | 5 |
| Senior Associate, Card CX Strategic Initiatives and Solutions This role supports the execution of customer experience (CX) strategies for Card & Connected Commerce businesses, focusing on integrating CX principles, translating customer insights into actionable solutions, and using analytics tools (including AI-driven ones) to improve customer journeys and resolve pain points within the financial services domain. | — | 5 |
| Data Scientist, Senior Associate – Product, Experience and Technology (PXT) Analytics Team This role focuses on building measurement frameworks and analytics to quantify improvements in developer productivity and technology efficiency, particularly in the context of GenAI-assisted development. The Data Scientist will analyze complex datasets, develop models to attribute impact, and create reports to influence investment decisions within JPMorgan Chase. | Ship | 5 |
| Experience Design Vice President Experience Design Vice President at JPMorgan Chase focused on shaping user experience for Small Business Credit Card products. This role involves leading early-stage discovery through delivery, developing design strategies, creating artifacts like journey maps and roadmaps, and collaborating with cross-functional teams. The role requires experience in inclusive design, accessibility, and leveraging AI tools in the design workflow. Experience in financial services and regulated industries is preferred. | — | 5 |
| Quant Analytics Senior Associate This role focuses on developing data-driven solutions for Connected Commerce, leveraging quantitative analytics and Gen AI skills like LLM calling and prompt engineering. The role involves end-to-end development of analytical solutions, including data pipelines and modeling, using cloud technologies and Python. The primary output is the application of these AI skills to optimize commercial transactions and enhance customer experience within the financial services industry. | Agent | 5 |
| Senior Director of Software Engineering - Post Trade Technology - AI Automation Platforms Senior Director of Software Engineering to lead a global technology organization with end-to-end build-and-run ownership of a strategic case management, workflow/task orchestration, and automation platforms utilized across the CIB. The platform supports more than 10,000 users and is engineered to a 99.99% uptime target, enabling critical daily operations and client service through event-based intake (exceptions and email), integration with systems of record, automation through AI capabilities, and robust audit trails, controls and analytics. | Agent | 5 |
| CCOR Automation & Data Analytics - Associate The role focuses on automation and data analytics within the Compliance, Conduct, and Operational Risk (CCOR) organization at JPMorgan Chase. It involves project management of automation initiatives, identifying opportunities for process improvements and AI integration, and enhancing controls, surveillance, and reporting. While the role seeks to adopt AI and GenAI tools, its core function is not the development or research of AI models but rather the application of automation and existing AI tools to improve compliance workflows. | — | 5 |
| Lead Software Engineer - Java Full Stack & AWS Lead Software Engineer (VP) for a Machine Learning and Intelligence Operations Virtual Agent Assist team, focusing on enhancing the call center agent experience through real-time guidance, workflow automation, and intelligent decision support. The role involves designing and delivering end-to-end full-stack features using Java, Spring Boot, REST APIs, and modern UI frameworks, building secure production services, leading technical design discussions, and implementing automation and monitoring. Requires strong Java, Spring, REST, React, SQL, and CI/CD experience, with preferred experience in AWS and generative AI patterns. | — | 5 |
| Java/AWS/Agentic Senior Lead Software Engineer Senior Lead Software Engineer in JPMorgan Chase's Payments Trust and Safety Technology group, focusing on Fraud Protection. The role involves building cloud-native applications on AWS, automating infrastructure, developing secure code, and monitoring performance. A key aspect is utilizing AI agents and emerging technologies to build prototypes for demonstration and to accelerate prototyping with tools like GitHub Copilot. The role requires experience in high-volume, low-latency transactional systems within the financial services industry. | Agent | 5 |
| Process Improvement Associate I This role supports process improvement initiatives by leveraging AI, process mining, and data analysis to identify opportunities for simplification, reduce manual touch points, and drive digital transformation. The associate will analyze data, craft narratives, and collaborate with diverse teams to achieve common goals, contributing to operational excellence and risk mitigation. | — | 5 |
| Marketing Operations Senior Business Analyst The role focuses on automating executive reporting and driving adoption of Tableau, leveraging AI/LLM tools for tasks like automated narrative summaries and anomaly detection. It involves integrating data from various marketing tools, establishing scorecards, and leading user education programs. The primary output is enhanced reporting and data visualization for business insights. | — | 5 |
| Home Lending Modeling & Strategic Forecast - Senior Associate This role focuses on developing, refining, and maintaining quantitative models, including time series forecasting, econometric, and machine learning models, for Home Lending Finance at JPMorgan Chase. The Senior Associate will ensure alignment with firm's model risk guidelines and regulatory requirements, collaborate with stakeholders, and potentially introduce new technologies. The role requires a Master's degree in a quantitative field and 5+ years of experience, with proficiency in Python and SQL. | Data | 5 |
| Wholesale Lending Services – Risk Operations – Strategy & Data Lead, Vice President This role focuses on driving data, analytics, reporting, and intelligent automation within Risk Operations at JPMorgan Chase. The lead will own solutions end-to-end, including design, development, deployment, and continuous improvement of scalable reporting and automation. Key responsibilities include developing data workflows, deploying RPA and intelligent automation, managing automation governance, and identifying AI/ML use cases. The role requires strong SQL, Python, Alteryx, and Tableau skills, along with experience in intelligent automation platforms like UiPath or Microsoft Power Platform. | Agent | 5 |
| Technology Operational Risk Management Director - Executive Director Technology Operational Risk Management Director responsible for second line of defense oversight of technology and cybersecurity/technology operational risk for Commercial and Investment Bank Markets lines of business. Advises senior technology leaders on firm modernization, transformation to modern engineering practices, evaluates risk posture against modernization roadmaps, Agentic AI adoption, and proactively reviews change activity. | — | 5 |
| AI Use Case Business Lead - Trade and Working Capital - Vice President This role is a Product Lead for AI use cases within Trade and Working Capital at JPMorgan Chase. The individual will own the AI use case book of work, translate business needs into technical requirements, and drive end-to-end delivery. They will interface with business functions and central AI/data science/technology teams, lead prioritization, champion AI literacy, and ensure alignment with firmwide AI initiatives and governance. The role requires strong business acumen in financial services, experience managing AI pipelines, and stakeholder management skills. | — | 5 |
| Software Engineer II, Multi-cloud Software Engineer II role focused on multi-cloud environments (GCP, Azure), leveraging emerging AI/ML technologies for innovation and efficiency. Responsibilities include developing secure code, contributing to product design, advocating for firmwide frameworks, and influencing the use of AI/ML solutions. Requires 3+ years of experience in software engineering with GCP, proficiency in Terraform and Python, and knowledge of cloud-native architectures and SDLC. Preferred qualifications include experience with AI-assisted development tools and AI platforms. | — | 5 |
| Model Risk Program Analyst This role focuses on model validation and governance within JPMorgan Chase's Risk Management and Compliance organization. The analyst will evaluate the conceptual soundness, assumptions, inputs, testing, numerical robustness, and performance metrics of various models used in financial forecasting and business decisions. The role requires strong quantitative skills, experience with statistical/econometric models, proficiency in Python/R, and a deep understanding of financial products and regulatory stress testing. | — | 5 |
| Chief Data and Analytics Office Strategy, Vice President The Chief Data and Analytics Office (CDAO) Strategy team at JPMorgan Chase is seeking a Vice President to drive strategy development, monitor industry trends, and increase internal awareness related to data and AI in financial services. The role involves managing strategic initiatives, developing executive-level documents, and collaborating with senior leaders to enable business outcomes through AI and data. | — | 5 |
| Solutions Analyst – Operations Predictive Modeling & Forecasting Develops and maintains complexity modeling and end-to-end forecast modeling for marketing campaigns, leveraging statistical and machine learning methods for analysis, forecasting, and business strategy optimization. Focuses on predictive modeling, data modeling solutions, and forecasting techniques. | Data | 5 |
| Lead Technical Program Manager - AIML- Databricks Lead Technical Program Manager for AIML Data Platforms within JPMorgan Chase's Chief Data & Analytics Office. This role focuses on managing complex, cross-functional technology programs related to data and AI/ML platforms, ensuring alignment with strategic goals, managing resources, and driving continuous improvement. The role requires strong technical program management skills, agile methodologies, and an understanding of modern data architectures and cloud platforms. | — | 5 |
| Lead Software Engineer - Backend/Java/Cloud Lead Software Engineer role at JPMorgan Chase focused on backend Java development within the Consumer & Community Banking organization. The role involves designing, developing, and troubleshooting technology solutions, with a focus on secure, stable, and scalable delivery. Responsibilities include writing and reviewing code, identifying automation opportunities, leading vendor evaluations, and driving communities of practice for new technologies. Requires 5+ years of Java experience, Spring Boot, REST API, Kafka, and cloud infrastructure knowledge, with a demonstrated proficiency in AI tools like Co-Pilot and LLMs, and in-depth knowledge of the financial services industry. | — | 5 |
| AI Transformation Analyst- Senior Product Owner Product Owner role focused on AI transformation within loan trading platforms, involving defining and prioritizing the AI backlog, leading stakeholder discovery, identifying and prototyping AI solutions (LLMs, predictive flagging, assistants), and ensuring UX quality. Requires 5+ years in product management/BA in financial services, experience with AI tools for automation and prototyping, strong requirements gathering, Excel, and Agile/Scrum skills. | Agent | 5 |
| Project Manager III - Chief of Staff Support Project Manager III supporting the Global Head of Data Platforms and Artificial Intelligence (DP&AI) at JPMorgan Chase. This role focuses on strategic technical program management, resource allocation, budget management, and driving transformative change within the technology organization. The individual will partner with senior leadership to align projects with strategic goals, oversee operations, and ensure adherence to governance and compliance standards. The role requires experience in financial services or technology, strong project management skills, and an aptitude for using AI tools like LLMs and Copilot. | — | 5 |
| Payments-Analytics Solutions Manager-Vice President This role is a mix of data science, consulting, and product management focused on driving data-driven analysis and automated reporting within the Payments Digital product business at JPMorgan Chase. The individual will leverage analytics and strategy skills to solve business problems, enhance customer experiences, and shape group strategy using various technologies and methods. | — | 5 |
| Product Director, Platform Data Ops C360 Product Director role focused on platform and data operations for a client data platform (Client360) within a financial institution. The role involves strategic planning, execution, risk management, and driving enhancements to achieve business outcomes, leveraging AI/ML for insights and personalized client experiences, while ensuring regulatory compliance. | — | 5 |
| Lead Software Engineer - Test Automation Lead Software Engineer focused on test automation for AI-driven chat solutions within JPMorgan Chase's Commercial & Investment Bank. Responsibilities include designing and executing test strategies, building automation frameworks, integrating tests into CI/CD, and validating AI/ML models for fairness and performance. Requires strong software development, agile, and financial services experience, with preferred skills in LLMs and prompt engineering. | ShipPost-train | 5 |
| Executive Director - Head of AI Marketing Transformation Lead the design and delivery of AI-driven solutions to revolutionize marketing campaign planning, management, and activation within JPMorgan Chase. This role focuses on creating new processes, driving operational efficiency, and accelerating speed to market through AI agentic solutions. | Agent | 5 |
| UX Conversation Designer, Senior Associate This role focuses on designing conversational AI experiences, specifically for an internal help phoneline, leveraging large language models (LLMs) and traditional IVR systems. The designer will create end-to-end use case flows for voice, chat, and multi-modal interfaces, conduct user research, and collaborate with ML teams to train LLMs based on conversational design principles. The goal is to improve user experience, drive efficiency, and align with business objectives within an enterprise environment. | Agent | 5 |
| Senior Lead Software Engineering - AI/ML Engineer This role is for a Senior Lead Software Engineering - AI/ML Engineer focused on Site Reliability Engineering for AI/ML Data Platforms at JPMorgan Chase in London. The role involves building scalable and resilient data solutions, incident management, root cause analysis, and implementing automation. While it involves AI/ML data platforms and uses Python/PySpark for AI/ML modeling, the core function is SRE and platform engineering, not direct AI model development or research. | — | 5 |