JPMorgan Chase has 448 active AI-related job listings. The majority of these roles, 55%, are focused on agents, with application roles making up another 17%. The dominant function for these positions is Engineering, with a significant number of roles also in Product. The company is primarily hiring in the United States, followed by the United Kingdom and India. Frequent tech tags include agent_orchestration, llm_observability, and model_serving. In the last 30 days, JPMorgan Chase posted 275 new AI roles, representing a 76% increase compared to the previous 30-day period.
Currently tracking 305 active AI roles, with 1181 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
JPMorgan Chase currently has 445 active AI-related roles in our index. The most common open titles are: Data Scientist [Multiple Positions Available] (7), Lead Software Engineer (6), Applied AI ML-Vice President (4), Applied AI/ML Lead (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (57%), application (17%), serving infrastructure (9%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
JPMorgan Chase is hiring AI talent in: United States (299 roles), United Kingdom (64 roles), India (56 roles), Singapore (16 roles).
Job postings at JPMorgan Chase most frequently mention: Machine Learning, Agentic Systems, Statistics, Data Science, Large Language Models (LLMs).
In the past 30 days, JPMorgan Chase has posted 178 new AI-related roles. That is a -35% change versus the prior 30 days (274 → 178).
| Title | Stage | AI score |
|---|---|---|
| Lead Security Engineer Lead Security Engineer at JPMorgan Chase focused on delivering secure software solutions. The role involves executing security solutions, developing secure code, minimizing vulnerabilities, and conducting security testing. It emphasizes the use of enterprise-authorized AI capabilities to accelerate threat modeling, vulnerability analysis, and security documentation, with a strong focus on validation and data sensitivity. The role requires experience in software engineering, security solution design, programming languages, SDLC, agile methodologies, threat modeling, and knowledge of the financial services industry. | — | 5 |
| Transformation and Innovation Team - Data Domain Modeling Associate This role focuses on designing and implementing end-to-end data models for financial analysis, enabling self-service data sourcing. It involves working with data from raw to semantic layers, supporting planning and analysis functions, and leveraging AI-assisted tools for development. The role also seeks opportunities to embed AI into workflows by defining data contracts. | — |
| 5 |
| Lead Software Engineer- AI Platform Engineer Lead Software Engineer for an AI Platform team at JPMorgan Chase, focusing on building and enhancing infrastructure solutions for AI/ML workloads. The role involves designing, building, and troubleshooting technical challenges, writing production code, automating processes, and collaborating with AI teams to translate computational requirements into effective infrastructure. Key responsibilities include designing CI/CD pipelines for ML, developing automation scripts, driving adoption of AI-assisted engineering practices, and ensuring responsible AI use in engineering workflows. | Serve | 5 |
| Lead Software Engineer Java , AWS Lead Software Engineer role focused on developing backend services in Java with Spring Boot within microservices architectures on AWS. The role emphasizes driving team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed, while also requiring hands-on experience with cloud infrastructure, containerization, databases, event streaming, and DevOps/SRE practices. The role involves evaluating AI-generated outputs and understanding responsible AI use. | — | 5 |
| Lead Site Reliability Engineer Lead Site Reliability Engineer for the Enterprise technology, liquidity risk team at JPMorgan Chase. This role focuses on owning non-functional requirements, driving improvements in customer experience, resiliency, security, scalability, monitoring, instrumentation, and automation. A key aspect involves leveraging and leading the adoption of enterprise-authorized AI capabilities to enhance SRE workflows, including incident triage, troubleshooting, and SDLC practices, while ensuring security and data sensitivity. | — | 5 |
| Lead Site Reliability Engineer Market Risk Lead Site Reliability Engineer for Market Risk Technology at JPMorgan Chase, focusing on improving application and platform reliability using AI capabilities for incident triage, troubleshooting, and post-incident analysis. The role involves leading AI-assisted reliability workflows across the SDLC, evaluating AI recommendations, defining guardrails, and ensuring security and resiliency. Requires strong SRE practices, programming skills, and experience with observability and CI/CD tools. | Serve | 5 |
| AI Product Marketing - Senior Associate This role focuses on marketing an LLM Suite product within JPMorgan Chase's AI Solutions and Business Enablement team. The primary responsibility is to create and scale marketing assets, content, and campaigns to drive user adoption and shape the product's brand expression. The role involves translating complex product capabilities into clear narratives for various personas and audiences, and managing content systems for high-volume delivery. While the company develops AI solutions, this specific role is in product marketing, not direct AI/ML development. | — | 5 |
| Senior Lead Site Reliability Engineer This role is for a Principal Site Reliability Engineer within JPMorgan Chase's Commercial & Investment Bank, Payments Technology team. The engineer will define non-functional requirements and availability targets, ensure NFRs are accounted for in design and testing, and implement service level objectives. A key aspect of the role involves using and leading the adoption of enterprise-authorized AI capabilities to enhance reliability design, operational decisioning, and workflows across the SDLC, while ensuring security, traceability, and auditability. | — | 5 |
| Business Analyst Associate II This Business Analyst Associate II role at JPMorgan Chase focuses on supporting process improvements and key initiatives through data analytics and automation. The role involves analyzing complex data sets, developing automation strategies, coordinating cross-functional collaboration, and strategic decision-making. While the role mentions leveraging AI tools and prompt writing as preferred qualifications, its core responsibilities are in data analysis, automation strategy, and business process improvement within a financial services context. | — | 5 |
| Executive Director, Product – Agentic Identity Product leadership role focused on defining the strategy and platform for AI-powered agent identity, authentication, and authorization within a financial services context, emphasizing security, traceability, and customer experience. | Agent | 5 |
| Lead Software Engineer Lead Software Engineer role focused on building secure, cloud-native services using Java, Spring Boot, AWS, and Kafka. The role emphasizes driving team adoption of enterprise-authorized AI-assisted engineering practices for code quality, delivery speed, and operational outcomes, with a strong focus on responsible AI use, security, and compliance within engineering workflows. | — | 5 |
| Home Lending Modeling & Strategic Forecast - Senior Associate This role focuses on developing and enhancing quantitative models, including time series forecasting, econometric, and machine learning models, for Home Lending Finance at JPMorgan Chase. The Senior Associate will lead statistical model enhancements, perform in-depth analysis, and collaborate with cross-functional teams to drive strategic decisions and ensure regulatory compliance. The role involves preparing model documentation, interfacing with stakeholders, and evaluating/deploying new technologies. A Master's degree in a quantitative field, 5+ years of experience, and proficiency in Python and SQL are required, with preferred experience in mortgage banking and data science/AI/ML. | Data | 5 |
| Lead Software Engineer - Proxy/SSE Network Security Lead Software Engineer role focused on network security, specifically US perimeter, proxy, and SSE engineering. The role involves driving team adoption of AI-assisted engineering practices, defining standards for perimeter controls, and providing engineering leadership across edge and connectivity adjacencies. It requires experience in delivering regional execution ownership, supervising engineers, and strong knowledge of network security architecture. | — | 5 |
| Lead Software Engineer - Proxy/SSE Network Security Lead Software Engineer for Proxy/SSE Network Security at JPMorgan Chase. This role focuses on enhancing and building secure, stable, and scalable technology products. Key responsibilities include driving team adoption of enterprise-authorized AI-assisted engineering practices, developing secure code, and owning the US perimeter, proxy, and SSE engineering roadmap. The role also involves defining standards, providing engineering leadership across edge and connectivity, and establishing governance mechanisms for operational excellence and risk reduction. Requires strong understanding of network security, proxy/SSE capabilities, and responsible AI use in engineering. | — | 5 |
| Sr Lead Software Engineer - CAFE This role focuses on driving the adoption and governance of AI-assisted engineering practices within a large enterprise. The Senior Lead Software Engineer will guide teams on using AI tools for code quality, delivery speed, and operational outcomes, while ensuring responsible AI use, data sensitivity, and security compliance. The role involves applying knowledge of SDLC toolchains and AI capabilities to improve automation at scale, and coaching others on compliant usage. | — | 5 |
| Executive Director Product Solutions Manager - Chief Data Analytics Office Fusion Platform Executive Director Product Solutions Manager for the Chief Data Analytics Office Fusion Platform at JPMorgan Chase. This role focuses on guiding sales advisory, optimizing problem-solving, and shaping customer-centric strategies within data governance. It involves harnessing AI for productivity, risk management, and new capabilities, with a specific emphasis on AI-for-data innovation and building agentic AI systems in a regulated environment. The position requires driving strategy and roadmaps for data governance initiatives, including next-generation tooling and AI-for-data capabilities, and ensuring end-to-end delivery from requirements to production. | Agent | 5 |
| Technology Support Lead This role focuses on leveraging enterprise-authorized AI capabilities to enhance production application support, aiming to improve incident triage speed and consistency. The lead will oversee the operational stability, availability, and performance of production systems, using AI tools for tasks like synthesizing operational signals and validating AI-assisted recommendations. The role requires strong validation habits, awareness of data sensitivity, and experience with observability and incident management in large-scale technology environments. | Serve | 5 |
| J.P. Morgan Wealth Management – Product Manager, Vice President Product Manager, Vice President for J.P. Morgan Wealth Management's Content team, focusing on leveraging AI to streamline content production, optimize workflows, and automate personalization. The role involves partnering with various teams, managing roadmap deliverables, analyzing data, and conducting user research. | — | 5 |
| Senior Lead Infrastructure Engineer - Capacity Management This role focuses on Capacity Management for critical applications within a large enterprise, leveraging AI capabilities to analyze infrastructure signals, drive automation, and optimize performance, cost, and resilience. The engineer will own the capacity strategy, lead cross-functional planning, and advance observability and analytics. | — | 5 |
| Vice President – Strategy Lead for Data Development Lifecycle (DDLC) This role focuses on defining and driving the adoption of a target-state Data Development Lifecycle (DDLC) for data and AI solutions within JPMorgan Chase's Chief Data Office. The goal is to enable safe, efficient, and scalable development, validation, release, and operation of data products by establishing standards, reference patterns, and user-centric ways of working. The role involves partnering with various stakeholders to remove execution friction, embed controls, and improve practitioner experience, balancing speed with control. | — | 5 |
| Java Lead Software Engineer Lead Software Engineer at JPMorgan Chase, focusing on enhancing and delivering technology products within Asset & Wealth Management. The role involves driving team adoption of enterprise-authorized AI-assisted engineering practices, setting engineering standards, and troubleshooting technical solutions. Requires hands-on experience with Java, cloud platforms, and leading the effective use of AI development tools, with a strong understanding of responsible AI use. | — | 5 |
| Senior Lead Site Reliability Engineer- ETS Network This role focuses on Site Reliability Engineering (SRE) within an enterprise technology environment, specifically for Electronic Trading Services. The Senior Lead SRE will define non-functional requirements, ensure service level objectives are met, and mentor other engineers. A key aspect of the role involves leveraging and leading the adoption of enterprise-authorized AI capabilities to enhance reliability design, operational decisioning, and workflows across the SDLC, while ensuring safety, security, and auditability. | — | 5 |
| Lead Security Engineer - Cloud Proxy This role focuses on designing, securing, and operating a cloud network perimeter platform for outbound traffic at an enterprise scale. It involves building and managing infrastructure-as-code, automating processes, and troubleshooting network connectivity issues. The role also involves using enterprise-authorized AI capabilities to assist in security workflows like threat modeling and vulnerability analysis, with a strong emphasis on validating AI outputs and ensuring data sensitivity. | — | 5 |
| Lead Software Engineer- Data, Python, SQL Lead Software Engineer for Wholesale Credit Risk team, focusing on designing and implementing scalable hybrid cloud solutions. The role involves driving team adoption of AI-assisted engineering practices, mentoring team members, and ensuring adherence to best practices and standards in coding and validation. | — | 5 |
| Lead Software Engineer - Frontend Lead Lead Software Engineer focused on frontend development using React, responsible for driving team adoption of enterprise-authorized AI-assisted engineering practices, ensuring responsible AI use, and mentoring junior developers. | — | 5 |
| Deputy Head of Data Management - Executive Director The Deputy Head of Data Management will support the Head of Data Management in driving data strategies, fostering a data-driven culture, and facilitating impactful data product delivery. This role involves collaborating with cross-functional teams to ensure data quality, integrity, and security, while leveraging AI/ML and LLM tooling to automate governance and data management activities. The position emphasizes hands-on data product delivery, shaping data into high-quality, reusable products for various consumer populations and analytical solutions. | — | 5 |
| Metrics Platform Product Manager Product Manager for a metrics platform within an enterprise AI context, focusing on defining, implementing, and governing metrics. The role involves applying AI methods for self-service tools like 'chat with data' and leveraging advanced analytics and GenAI for enhanced reporting and operational efficiency. | — | 5 |
| Analytics Solutions Manager Product management role focused on developing and delivering AI/ML and Agentic solutions within a financial context. Responsibilities include strategy execution, roadmap planning, stakeholder coordination, and overseeing the development of data products and analytical solutions, leveraging statistical techniques and data modeling. | Agent | 5 |
| Training Senior Associate This role focuses on designing, developing, and delivering learning and knowledge solutions for client onboarding and service within JPMorgan Chase. While it involves integrating and leveraging AI-enabled tools to enhance content creation and training strategies, the core function is not AI/ML model development but rather enabling employees and improving business outcomes through learning enablement. The role requires experience with content lifecycle management, performance support, and using AI tools to improve efficiency and quality of work outputs. | — | 5 |
| Vice President, Global Banking Intelligence & Growth Strategy This role is for a Vice President on the Global Banking Intelligence & Growth Strategy team at JPMorgan Chase. The primary focus is on driving revenue growth within the Commercial & Investment Bank by leveraging internal data, external market intelligence, and advanced analytical techniques, including AI and LLMs. The role involves identifying opportunities in M&A, capital markets, payments, and corporate banking, partnering with senior leaders to shape strategy, and developing analytical workflows and insights to support banker decision-making. | — | 5 |
| Lead Software Engineer - Java Backend Lead +AWS Lead Software Engineer role focused on driving the adoption and effective use of AI-assisted engineering practices within a Java backend development team at JPMorgan Chase. The role involves coaching developers on using AI tools for code quality, delivery speed, and operational improvements, while ensuring responsible and secure AI implementation. | — | 5 |
| Vice President- Ontologist JPMorgan Chase is seeking a Vice President-Ontologist to shape their knowledge representation strategy using ontologies and taxonomies to enhance data interoperability and management, preparing data for AI applications. The role involves engaging with domain experts, assessing standard ontologies, and developing organization-wide ontologies, influencing various departments. | Data | 5 |
| Business Development Product and Platform, Vice President – JPMorgan Private Client This role focuses on developing and implementing product and partner education programs for sales professionals in the affluent client segment within JPMorgan Private Client. The goal is to enhance sales performance by equipping relationship managers with the necessary knowledge and skills to position solutions, deepen partnerships, and improve client outcomes. The role involves designing, creating, and managing large-scale training programs, using performance data for continuous improvement, and leveraging AI tools to optimize content relevance and delivery efficiency. While AI tools are used to enhance training, the core function is product and sales enablement, not AI model development. | — | 5 |
| Risk Management - Firmwide Reputation Risk Governance - Vice President This role focuses on managing firmwide reputation risk within JPMorgan Chase, involving the assessment and management of reputation risk across all business lines. A key aspect is the use of firm-approved AI/LLM tools to enhance risk governance, reporting, and document management, but the core function is risk management, not AI development. | — | 5 |
| Product Director -Entitlements Product Director for Entitlements within a cloud-native product organization, leading Product Owners and partnering with Engineering to deliver business-critical products. The role involves influencing target-state architecture, modernizing applications, and ensuring alignment with blueprints and security standards. It emphasizes leveraging AI tools and agentic capabilities to accelerate the product lifecycle and drive stakeholder alignment in a regulated financial services environment. | — | 5 |
| Senior Lead Software Engineer Senior Lead Software Engineer role focused on enhancing, building, and delivering technology products within a financial services platform. The role emphasizes driving adoption and governance of AI-assisted engineering practices, applying deep technical expertise, and leading teams in secure, stable, and scalable development using technologies like Java and AWS. The engineer will also leverage AI agents for code quality and delivery timelines, with a strong focus on responsible AI use and validation of AI outputs. | — | 5 |
| Intraday Liquidity Management – Data Analytics and Forecasting, Associate This role focuses on developing and managing intraday liquidity analytics using AI/ML tools to forecast cash positions and outflows within a financial institution. It involves leveraging payments data, building backtesting frameworks, and collaborating with technology teams. | Data | 5 |
| Product Manager- Claims and Disputes Product Manager for Fraud Operations at JPMorgan Chase, focusing on developing and launching AI-enabled products to reduce fraud losses and improve customer experience. Responsibilities include defining product strategy, managing the product backlog, and tracking key success metrics related to fraud, efficiency, and customer satisfaction. | Ship | 5 |
| Vice President Product Manager - Data Governance Product Manager for Data Governance at JPMorgan Chase, focusing on developing and launching AI-for-data solutions and next-generation data governance tooling. The role involves defining product strategy, managing the product lifecycle, and collaborating with cross-functional teams to ensure data quality, integrity, and responsible use within a regulated financial services environment. Requires experience building agentic AI systems and understanding AI/ML product delivery patterns. | Agent | 5 |
| Solutions Enablement Lead - Vice President This role is focused on driving the adoption and rollout of AI products within JPMorgan Chase's Commercial & Investment Bank. It involves developing rollout strategies, facilitating feedback loops, enabling client-facing teams with AI knowledge, and tracking business outcomes and ROI. While it deals with AI strategy and adoption, the core function is product enablement and strategy, not direct AI/ML model development or research. | — | 5 |
| Cyber Intelligence Senior Associate This role focuses on leveraging AI capabilities to enhance cyber threat intelligence and security research. The primary responsibilities involve engineering automations, using AI tools for threat research synthesis and risk assessment, and supporting incident response. The role requires experience with AI capabilities in a work environment, Python scripting, AWS architecture, and cybersecurity principles. | Agent | 5 |
| Lead Infrastructure Engineer - Technical Solutions Engineering Lead Infrastructure Engineer for Cloud Foundational Platforms at JPMorgan Chase. This role involves applying deep knowledge of software, applications, and technical processes within infrastructure engineering. The engineer will drive projects, architect and implement changes, troubleshoot complex problems, and manage stakeholder relationships. A key aspect is the use of enterprise-authorized AI capabilities to accelerate infrastructure analysis, design documentation, and automation routines, with a strong emphasis on validation, data sensitivity, and security. | — | 5 |
| AI Governance Lead - Vice President This role focuses on establishing and executing the governance framework for AI, ML, and GenAI within a highly regulated financial services environment. The Lead will translate policy into practical processes, controls, and tooling, ensuring transparency through executive reporting and preparing for audits and regulatory requests. It involves partnering with risk, legal, compliance, and technology teams to manage AI risks and ensure responsible adoption. | — | 5 |
| Experience Design Vice President Experience Design Vice President at JPMorgan Chase, focusing on user management for Payments clients. Responsibilities include developing design/research strategies, creating wireframes and prototypes, mentoring junior designers, and ensuring inclusive and accessible design practices. The role requires collaboration with cross-functional teams and analysis of market trends and user feedback. Previous exposure to AI tools is mentioned as a plus. | — | 5 |
| Lead Technical Program Manager Lead Technical Program Manager in Corporate Technology, Risk Technology at JPMorgan Chase. This role involves guiding complex technology projects and programs, fostering innovation, and applying technical expertise. The role explicitly mentions using enterprise-authorized AI capabilities to accelerate program planning, risk synthesis, and reporting, with a strong emphasis on validating AI outputs and adhering to data sensitivity requirements. The primary focus is on program management within a large financial services organization, not on building or researching AI models themselves. | — | 5 |
| AI Payments Sales Strategy Lead - Vice President This role focuses on leading AI strategy for Payments Sales, translating sales priorities into scalable AI and data initiatives. It involves partnering with sales, AI, and product teams to embed AI capabilities into the sales lifecycle, improve client engagement, and drive revenue. The role also involves assessing AI trends and competitive developments to define future capabilities. | — | 5 |
| Advanced Treasury Analytics – Vice President The Vice President will lead the design and delivery of analytical products, models, and tools for Treasury decision-making, focusing on liquidity, risk, capital, and balance sheet management. This role involves working with large financial datasets, partnering with various business and technology teams, and managing junior members. The position requires advanced technical skills in Python and SQL, experience with modern data platforms, and a track record of delivering solutions into production, with a demonstrated ability to pragmatically apply AI tools. | — | 5 |
| Sr. Lead Software Engineer This role focuses on driving the adoption and governance of AI-assisted engineering practices within the Software Development Life Cycle (SDLC) to improve code quality, delivery speed, and operational outcomes. The engineer will leverage AI tools for tasks like code review, test acceleration, and incident analysis, while ensuring responsible AI usage, data sensitivity, and security compliance. The role requires experience in system design, application development, and leading the effective use of enterprise-authorized AI tools. | — | 5 |
| Compliance - Risk Management Oversight Program Lead - Vice President This role involves leading the use of generative AI and LLMs within a compliance risk management program for asset management operations. The primary focus is on enhancing oversight, monitoring, and testing through technology, rather than direct AI model development. | Agent | 5 |
| Performance Marketing Chase Wealth Management Senior Business Analyst Senior Business Analyst role focused on performance marketing within a financial institution. The role involves traditional BA tasks like requirements elicitation, agile facilitation, and BDD, but also emphasizes the use of approved AI tools and prompt engineering to accelerate BA workflows, documentation, and analysis. The candidate must validate AI outputs for accuracy, completeness, bias, and compliance. | — | 5 |