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 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.
JPMorgan Chase currently has 457 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (8), Applied AI ML-Vice President (4), Applied AI/ML Lead (4), Data Scientist [Multiple Positions Available] (4), Lead Site Reliability Engineer (4). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (58%), application (17%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
JPMorgan Chase is hiring AI talent in: United States (306 roles), United Kingdom (62 roles), India (59 roles), Singapore (18 roles).
Job postings at JPMorgan Chase most frequently mention: Machine Learning, Agentic Systems, Statistics, Data Science, Large Language Models (LLMs).
In the past 30 days, JPMorgan Chase has posted 264 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Testing & Evaluation Analyst This role focuses on evolving testing into a data-driven, intelligent capability that improves quality, speed, and scalability across global Digital Document Services operations by applying AI-enabled testing techniques and building automation scripts. | — | 5 |
| Lead Proxy Engineer Lead Infrastructure Engineer at JPMorgan Chase responsible for delivering infrastructure and performance excellence, with a focus on proxy solutions. The role involves client management, process improvement, advanced troubleshooting, technical guidance, and leveraging enterprise-authorized AI capabilities for infrastructure analysis, design documentation, and automation routines. Requires hands-on experience with proxy devices and related security vendors, network infrastructure, scripting for automation, and SEIM tools. The role also emphasizes validating AI-assisted recommendations and ensuring alignment with security and resiliency expectations. | — | 5 |
| Lead Data Architect Lead Data Architect at JPMorgan Chase within the Infrastructure Platforms team, responsible for developing high-quality data architecture solutions on modern cloud-based technologies. The role involves defining target state data architecture, implementing processes to enhance data access and analysis, developing insights using various analytic methods including machine learning, and evaluating new technologies. A key aspect is leveraging enterprise-authorized AI capabilities to accelerate data architecture analysis and decisioning, and driving the adoption of AI-assisted data validation within the SDLC. |
| — |
| 5 |
| Solutions Analyst II This role focuses on bridging the gap between business and technical teams, translating requirements into solutions, and leveraging AI tools to enhance analysis and workflows. It involves data analysis, process improvement, and collaboration within a financial services context. | — | 5 |
| Lead Software Engineer - Java, AWS & Agentic AI Lead Software Engineer role focused on integrating AI-assisted engineering practices and Agentic AI solutions within a financial services context. The role emphasizes driving team adoption of AI tools for code quality, delivery speed, and operational outcomes, while ensuring responsible and secure AI usage. Core technical skills include Java, AWS, and SDLC, with a requirement for implementing at least one Agentic AI use case. | — | 5 |
| Associate - Compliance and Ops Risk Test Lead This role focuses on testing AI/ML systems, including data lineage, statistical validation, model lifecycle aspects, and agentic AI workflows, within a compliance and operational risk framework at a financial institution. The primary responsibility is to ensure the quality and compliance of AI/ML systems through rigorous testing and gap analysis. | AgentData | 5 |
| Sr Lead Software Engineer - Java Full Stack Senior Lead Software Engineer role focused on driving adoption and governance of AI-assisted engineering practices within a financial services context. The role involves developing secure, high-quality production code, providing technical guidance, and applying knowledge of SDLC tools, including AI-assisted development and automation capabilities. Emphasizes responsible AI use, data sensitivity, and coaching engineers on compliant usage. | — | 5 |
| Lead Software Engineer - Java Lead Software Engineer role focused on enhancing and delivering technology products within JPMorgan Wealth Management. The role emphasizes driving team adoption of enterprise-authorized AI-assisted engineering practices, applying knowledge of AI tools in the SDLC, and leading evaluation sessions for new technologies. Requires strong Java, Spring Boot, Microservices, and AWS experience, along with demonstrated experience leading the use of AI-assisted development tools and understanding responsible AI use. | — | 5 |
| Software Engineer II Software Engineer II - Python Developer at JPMorgan Chase within the Commercial & Investment Bank, responsible for designing and delivering technology products. The role involves executing software solutions, creating secure production code, and leveraging enterprise-authorized AI coding assist tools to improve code quality and productivity. The engineer will also gather and analyze data, contribute to communities of practice, and support BAU operations for Markets businesses. | — | 5 |
| Director of Software Engineering- J.P. Morgan Personal Investing Director of Software Engineering for Personal Investing, focusing on leading engineering teams, defining technical strategy, and scaling technology. The role involves overseeing AI-enabled engineering workflows to improve delivery speed and code quality, while ensuring responsible AI use and adherence to regulatory requirements. | Agent | 5 |
| Software Engineer III-Automation Software Engineer III focused on driving team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. The role involves designing, developing, and troubleshooting software solutions, with a strong emphasis on automation and responsible AI use within engineering workflows. | — | 5 |
| Director of Site Reliability Engineering Director of Site Reliability Engineering at JPMorgan Chase, focusing on leading the adoption and governance of enterprise-authorized AI capabilities within reliability operations and delivery practices. The role involves setting expectations for AI-assisted operational decisioning and automation, ensuring alignment with security, compliance, and resiliency standards, and guiding stakeholders in the safe use of these AI capabilities. | Ship | 5 |
| Manager of Software Engineering - Trust and Security Manager of Software Engineering at JPMorgan Chase, leading multiple teams in Consumer and Community Banking. Focuses on daily implementation, issue escalation, and ensuring adherence to compliance, business requirements, and best practices. Leads adoption of AI-assisted engineering practices and SDLC automation, manages stakeholder relationships, and fosters a culture of diversity and inclusion. Requires 5+ years of software engineering experience, Java/Spring Boot proficiency, cloud infrastructure (AWS, Terraform), containerization (Docker, Kubernetes), databases, event streaming (Kafka), DevOps/SRE, and experience leading responsible AI adoption. | — | 5 |
| Sr Lead Security Engineer This role focuses on hardware and firmware security evaluations, including source code review, fault injection, and side-channel analysis. It involves understanding complex designs, identifying vulnerabilities, detecting Indicators of Compromise, and providing remediation guidance. The role also involves driving research into new attack methodologies and collaborating with cross-functional teams. A key aspect is the use of enterprise-authorized AI capabilities to accelerate security risk analysis and documentation, with a strong emphasis on validating AI outputs and ensuring data sensitivity. | — | 5 |
| Sr Lead Security Engineer - Workforce Senior Lead Security Engineer role focused on designing, building, and implementing advanced security solutions across cloud, hybrid, and on-prem environments. The role involves hands-on coding, automation, integrating security controls, and driving the adoption of emerging cybersecurity technologies, including AI/ML-driven security analytics. Responsibilities include threat modeling, risk assessment, mentoring junior engineers, and collaborating with cross-functional teams. The role emphasizes using enterprise-authorized AI capabilities to accelerate security risk analysis and documentation, with a strong focus on validation and data sensitivity. | — | 5 |
| Android Lead Software Engineer Lead Android Software Engineer at JPMorgan Chase, focusing on enhancing and delivering mobile applications. The role involves driving team adoption of AI-assisted engineering practices, ensuring secure and high-quality code, and applying AI tools to improve development workflows. Requires strong understanding of responsible AI use and coaching engineers on safe adoption. | — | 5 |
| AI Lead Technical Program Manager Lead Technical Program Manager for AI initiatives within JPMorgan Chase's Consumer & Community Banking division. This role focuses on leveraging enterprise-authorized AI capabilities to enhance program planning, risk synthesis, and reporting, ensuring successful delivery of technology projects that align with business goals. The TPM will manage project plans, identify and mitigate risks, collaborate with cross-functional teams, and champion agile methodologies. A key aspect is the validation and responsible use of AI-assisted tools in program management workflows, with a strong emphasis on data sensitivity and human oversight. | — | 5 |
| 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 |
| Lead Proxy Engineer Lead Proxy Engineer at JPMorgan Chase responsible for delivering infrastructure and performance excellence. The role involves client management, process improvement, advanced troubleshooting for Proxy issues, and collaborating with IT and business teams. A key aspect is the utilization of enterprise-authorized AI capabilities to accelerate infrastructure analysis, design documentation, and automation routines, with a strong emphasis on validating AI outputs and ensuring security and resiliency. | — | 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 |
| Vice President - AI Product Strategy & Intelligence – Controls Transformation This Vice President role focuses on AI Product Strategy and Intelligence within Controls Transformation at JPMorgan Chase. The role involves driving structured product strategy and end-to-end delivery for AI-enabled controls capabilities, shifting from fragmented processes to integrated, data-driven decisioning. It requires partnering with Product Managers, Engineering, and Data teams to translate strategic priorities into actionable plans and embedding AI into controls workflows for improved decision quality, efficiency, and scalability. | Agent | 5 |
| Lead Software Engineer - Java Backend Lead Lead Software Engineer focused on backend Java development within a financial services firm. The role involves driving the adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. This includes coaching engineers on responsible AI use, validating AI outputs, and ensuring secure and compliant adoption within development workflows. | — | 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 |
| Data Engineer III Data Engineer III at JPMorgan Chase responsible for designing, developing, testing, and maintaining data pipelines and architectures. This role involves using enterprise-authorized AI capabilities to accelerate workflows and data analysis, with a strong emphasis on data lifecycle management, SQL, NoSQL, and statistical analysis. | — | 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 |
| Product Manager - Data Privacy Product Manager for Data Privacy at JPMorgan Chase, focusing on designing and implementing privacy frameworks, policies, and procedures for the ethical and compliant use of data and AI/ML technologies. The role ensures adherence to global privacy regulations and JPMC's standards, integrating privacy by design into the AI/ML development lifecycle, and managing risk and compliance aspects within a regulated financial services environment. | Ship | 5 |