JPMorgan Chase has 448 active AI-related job listings. The majority of these roles, 55%, are focused on agents, with application roles making up another 17%. The dominant function for these positions is Engineering, with a significant number of roles also in Product. The company is primarily hiring in the United States, followed by the United Kingdom and India. Frequent tech tags include agent_orchestration, llm_observability, and model_serving. In the last 30 days, JPMorgan Chase posted 275 new AI roles, representing a 76% increase compared to the previous 30-day period.
Currently tracking 272 active AI roles, with 1069 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$285k (avg $215k).
JPMorgan Chase currently has 457 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (8), Applied AI ML-Vice President (4), Applied AI/ML Lead (4), Data Scientist [Multiple Positions Available] (4), Lead Site Reliability Engineer (4). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (58%), application (17%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
JPMorgan Chase is hiring AI talent in: United States (306 roles), United Kingdom (62 roles), India (59 roles), Singapore (18 roles).
Job postings at JPMorgan Chase most frequently mention: Machine Learning, Agentic Systems, Statistics, Data Science, Large Language Models (LLMs).
In the past 30 days, JPMorgan Chase has posted 264 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer [Multiple Positions Available] Software Engineer role focused on designing and delivering microservices-based applications, migrating legacy systems to cloud-native architectures, and enhancing search functionality using AI/ML techniques. The role involves full SDLC, agile methodologies, and cloud deployments. | Agent | 5 |
| Lead Solutions Analyst - Product Operations This role focuses on analyzing and delivering technical solutions within a financial services context. While it leverages enterprise AI capabilities for tasks like requirements synthesis and documentation, the core function is product operations and technical program delivery, not the direct building or research of AI models. The role emphasizes using existing AI tools, validating their outputs, and promoting their use within the team, indicating a mature adoption of AI as a productivity enhancer rather than a core development area. | — |
| 5 |
| Product Management [Multiple Positions Available] Product Manager for digital product initiatives in capital markets, focusing on strategy, execution, and go-to-market. Responsibilities include defining product vision, roadmap, and features, collaborating with cross-functional teams, and driving product development from concept to launch. Requires experience in managing the product development lifecycle, conducting market analysis, running research studies, performing data analysis, managing Agile workflows, and integrating AI/ML capabilities into digital products. | Ship | 5 |
| Tech Risk & Controls Director This role focuses on managing technology risk and controls within a financial institution, with a specific emphasis on the safe adoption and governance of AI-assisted workflows. The Director will develop strategies, policies, and processes to identify, assess, and mitigate risks associated with AI usage, ensuring compliance with regulatory requirements and industry best practices. The role involves collaborating with stakeholders, managing teams, and providing insights to senior leaders on the effectiveness of controls. | — | 5 |
| Lead SRE- Azure & GCP Lead Site Reliability Engineer (SRE) for Google Cloud environments at JPMorgan Chase, focusing on implementing SRE frameworks, ensuring high SLOs, and leveraging enterprise-authorized AI capabilities to enhance SRE workflows like incident triage and troubleshooting. Requires expertise in cloud platforms (Azure, GCP), container technologies, programming, monitoring tools, and AI-assisted operational recommendations. | — | 5 |
| Quant Analytics - Associate This role is within the Finance Decision Optimization product team, focusing on overseeing analytics and support for AI/ML-based models in consumer lending. While not a direct model development role, it involves defining requirements, collaborating with modeling teams, assessing model performance against business needs, and supporting deployment. The role requires strong quantitative skills, finance process knowledge, and experience with data analysis tools, with a focus on delivering analytical solutions for financial products. | — | 5 |
| Data Scientist Lead - CDAO This role focuses on developing and delivering data science solutions to measure progress against a firmwide data strategy, involving data integration, analysis, modeling, and visualization. It also includes developing ML solutions for automation and monitoring emerging AI/ML/LLM/GenAI trends for practical applications in measurement and insight delivery within a financial services context. | Ship | 5 |
| Lead Software Engineer - Integration, DevOps Lead Software Engineer focused on integration and DevOps within JPMorgan's Equities Trading Technology group. The role involves driving projects, improving processes, managing the software development lifecycle, and owning production release management. A key aspect is driving the adoption of AI-assisted engineering practices for code quality, delivery speed, and operational outcomes, including coaching engineers on responsible AI use and validating AI outputs. Experience with Generative AI/LLMs and Agentic AI is mentioned. | Serve | 5 |
| Senior Lead Software Engineer - AI/ML & Data Platforms Senior Lead Software Engineer for AI/ML & Data Platforms at JPMorgan Chase in London. This role focuses on leading technical areas, driving innovation, and implementing AI-assisted engineering practices within the software development lifecycle. The engineer will be responsible for governance, decision-making, and ensuring responsible AI use, with a strong emphasis on AWS/public cloud applications and leading cross-functional teams. | — | 5 |
| Software Engineer III- Back End- Java- JPM Personal Investing- Madrid Software Engineer III Backend role focused on building and evolving a top-in-market suite of mobile and web apps for investment clients. The role involves working with Java/Springboot, microservices on Kubernetes, Kafka, and AWS. A key aspect is leveraging enterprise-authorized AI coding assist tools to improve productivity and code quality, while also understanding and promoting responsible AI use in engineering workflows. | — | 5 |
| Quantitative Trading & Research - Valuation Models - Vice President Develop and maintain sophisticated models for fair value measurement across multiple business lines, leveraging machine learning, AI, and data analytics to enhance valuation methodologies and drive innovation. Implement methodologies for model calibration and build analytics to manage model risk appetite. | Serve | 5 |
| Operations Automation Business Associate This role focuses on defining requirements for the adoption of AI capabilities within Securities Services Operations. The associate will translate user needs into functional requirements, model processes, and ensure traceability. A key responsibility is specifying AI guardrails, evaluation approaches, and human-in-the-loop requirements for firm-approved AI platforms, enabling scaled adoption without directly writing automation code. | Agent | 5 |
| Senior Lead Software Engineer - Precious Metals / Front Office / Athena Senior Lead Software Engineer role focused on enhancing and building technology products for the Precious Metals and Agriculture Commodities Tech team at JPMorgan Chase. The role involves leading a software engineering team, driving adoption of AI-assisted engineering practices, developing secure code, and collaborating with business and technology teams. Experience with enterprise-authorized AI-assisted tools and responsible AI use is required. | Ship | 5 |
| Associate, Data Analytics, Commercial & Investment Bank, Tech Strategy and Execution Associate on the AI for Tech initiative within JPMorgan Chase's Commercial & Investment Bank. This role focuses on designing, building, and analyzing software engineering throughput and the impact of GenAI on these outcomes. The goal is to support cultural transformation through data-driven insights and evidence, directly informing senior leadership. | Data | 5 |
| Asset Management - Investment Platform Trading Analytics & Strategy (GFICC) - Executive Director This role focuses on quantitative research and strategy within JPMorgan Chase's Asset Management division, specifically for GFICC trading. The primary goal is to automate trading workflows, optimize execution, and provide data-driven insights using quantitative analysis and applied machine learning techniques. The role involves building and maintaining analytics platforms, developing execution consultancy, and creating trade analytics and reporting tools. While not building frontier AI models, the role leverages ML techniques for trading research and optimization, and contributes to the serving of these models. | AgentServe | 5 |
| Security Operations Vice President - Vulnerability Management This role focuses on managing security vulnerabilities within JPMorgan Chase's infrastructure. While it involves using AI capabilities to enhance security operations, the core function is not building AI models but rather applying AI tools to improve existing security processes like vulnerability triage and incident reporting. The role requires a strong understanding of cybersecurity, vulnerability management, and incident response, with an emphasis on risk assessment and mitigation. | — | 5 |
| Analytics Solutions Manager - Vice President This role focuses on delivering analytics solutions, specifically text-to-SQL capabilities using Snowflake's Cortex Analyst features, within the financial services domain. It involves designing, developing, and managing data structures, ensuring data quality, and leading cross-functional teams to enhance data accessibility and user experience for business users. | Agent | 5 |
| Software Engineer III - API Platform Software Engineer III role focused on developing, automating, and maintaining an API management platform using technologies like Apigee, Kong, and Envoy. The role involves leveraging enterprise-authorized AI coding assist tools to improve development processes and understanding responsible AI use in engineering workflows. | — | 5 |
| Technology Risk and Control Lead This role focuses on managing technology risk and controls within an enterprise environment, leveraging existing AI capabilities to enhance risk assessment and reporting processes. The lead will identify, mitigate, and report on technology risks, ensuring compliance with regulatory and industry standards, and collaborating with various stakeholders. While the role utilizes AI tools, it does not involve building or developing AI models. | — | 5 |
| Lead Cybersecurity Architect Lead Cybersecurity Architect at JPMorgan Chase, focusing on building security foundations for modern cloud-based technologies. The role involves defining target state cybersecurity, identifying and mitigating risks, leading vendor evaluations, and integrating security into the SDLC and CI/CD pipelines. A key aspect is leveraging and driving the adoption of enterprise-authorized AI capabilities for cybersecurity analysis and validation, with a strong emphasis on security, resiliency, and auditability within a regulated financial environment. | — | 5 |
| Architect III, Markets Tech, CIB This role focuses on applying and integrating enterprise-authorized AI capabilities within software engineering workflows and architectural design at JPMorgan Chase. The architect will drive the adoption of AI-enabled patterns and guardrails across the SDLC, ensuring validation, security, and traceability. The role requires working knowledge of AI capabilities in areas like requirements interpretation, design support, code assistance, and evaluating AI-enabled features and architectural patterns. | Agent | 5 |
| Software Engineer III - Java, DevOps (AWS & Azure) Software Engineer III at JPMorgan Chase focused on designing and delivering technology products using Java and cloud platforms (AWS/Azure). The role involves building infrastructure and application components, writing secure code, and performing data analysis. A key aspect is the leverage and understanding of enterprise-authorized AI coding assist tools to improve productivity and code quality, along with responsible AI usage. | — | 5 |
| Software Engineer III - Python, AI/ML Software Engineer III at JPMorgan Chase focused on leveraging enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity. The role involves designing, developing, and troubleshooting software solutions, with a strong emphasis on integrating and critically evaluating AI-generated outputs within the Software Development Life Cycle. Requires understanding of responsible AI use and experience with AI/ML technologies like Gen AI/LLMs and Agentic AI. | — | 5 |
| Software Engineer III - IOS Developer Software Engineer III - IOS Developer at JPMorgan Chase, focusing on designing and delivering technology products. The role involves executing software solutions, creating secure code, and leveraging enterprise-authorized AI coding assist tools to improve productivity and code quality. Responsibilities include producing architecture and design artifacts, gathering and analyzing data for continuous improvement, and identifying problems in data to drive system enhancements. Requires formal training/certification and 3+ years of experience in system design, application development, testing, and operational stability, with extensive mobile development experience in iOS and/or Android. Proficiency in specific iOS and Android development tools and frameworks is necessary, along with experience in testing, distributed systems, and CI/CD tooling. Experience with AI-assisted development tools and understanding of responsible AI use are also required. | — | 5 |
| Software Engineer III - Android Developer Software Engineer III - Android Developer role at JPMorgan Chase, focusing on delivering market-leading 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. Responsibilities include producing architecture and design artifacts, analyzing data for continuous improvement, and identifying problems in data to drive system enhancements. Requires formal training/certification, 3+ years of applied experience, strong Android development with Kotlin, knowledge of architectural patterns, experience with mobile development tools, CI/CD pipelines, and Agile environments. Hands-on experience with AI-assisted development tools and understanding of responsible AI use are also required. | — | 5 |
| Manager of Software Engineering - Java/DevOps/AWS Manager of Software Engineering at JPMorgan Chase, focusing on Java/DevOps/AWS within the Asset and Wealth Management Technology & Operations team. The role involves leading engineers in designing, building, and deploying applications, with a significant emphasis on driving the adoption and responsible use of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. Responsibilities include hands-on coding, mentoring, and ensuring secure, compliant adoption of AI tools within engineering workflows. | — | 5 |
| Lead Software Engineer - Java with Agentic AI Lead Software Engineer role focused on integrating and driving adoption of AI-assisted engineering practices within an existing enterprise software development lifecycle, primarily using Java. The role emphasizes using AI tools to improve code quality, delivery speed, and operational outcomes, with a strong focus on responsible AI use, validation of AI outputs, and coaching other engineers. | — | 5 |
| Sr. Lead Data Engineer Senior Lead Data Engineer at JPMorgan Chase focused on building and maintaining data pipelines for operational insights, reliability, risk, and cost observability. The role involves managing reporting and analytics, defining SLIs/SLOs, automating data products, and mentoring team members. It also requires using and validating enterprise-authorized AI capabilities within workflows. | — | 5 |
| Lead Software Engineer - Databricks, Spark, AWS Lead Software Engineer at JPMorgan Chase focused on architecting and delivering high-throughput, low-latency data pipelines using Databricks, Apache Spark, and AWS. The role involves establishing lakehouse patterns, optimizing Databricks clusters, and driving team adoption of AI-assisted engineering practices while ensuring security and compliance. Responsibilities include job orchestration, data ingestion/transformation framework design, data quality enforcement, and Spark performance tuning. | — | 5 |
| Software Engineer III - Database Software Engineer III at JPMorgan Chase focused on database modernization and optimization. The role involves contributing to database administration, development, migration, and modernization planning. A key aspect is leveraging and understanding the use of enterprise-authorized AI coding assist tools within the software development lifecycle, including validating outputs and understanding responsible AI use. The role also includes mentoring and contributing to training materials. | — | 5 |
| Experience Design, Executive Director - Home Lending Executive Director of Experience Design for Home Lending at JPMorgan Chase, focusing on end-to-end consumer journeys. The role involves shaping strategy, leading a design team, and exploring AI-enabled, self-service, and agentic experiences to improve customer outcomes and business metrics within a regulated environment. | — | 5 |
| Sr Lead Software Engineer - Digital Assets / Blockchain Senior Lead Software Engineer for JPMorgan Chase's Digital Assets Team, focusing on building and enhancing technology products within the blockchain space. The role involves executing creative software solutions, developing secure code, and leading evaluation sessions. A key responsibility is driving the adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while ensuring responsible AI use and adherence to security standards. | Ship | 5 |
| Principal Technical Program Manager - Executive Director This role is for a Principal Technical Program Manager within JPMorgan Chase's Infrastructure Platforms, Cloud Foundation Services. The primary focus is on leading complex, multi-functional technology projects and programs. A key aspect of the role involves utilizing enterprise-authorized AI capabilities to enhance program planning, risk synthesis, and reporting, with a strong emphasis on validation and data sensitivity. The role requires strong analytical reasoning, change management, stakeholder management, and technical fluency to deliver innovative solutions aligned with strategic goals. | — | 5 |
| Lead Software Engineer – Java/Back-End with AI Lead Software Engineer focused on integrating AI-assisted engineering practices into the software development lifecycle for a financial institution. The role involves driving team adoption of AI tools for code quality, delivery speed, and operational improvements, while ensuring responsible and compliant use. | — | 5 |
| Infrastructure Engineer III- Production Support with monitoring Infrastructure Engineer III role focused on maintaining and managing large-scale API Gateway Platforms, improving data and systems, and ensuring end-to-end monitoring. The role involves converting operational problems into software solutions and utilizing enterprise-authorized AI capabilities for monitoring, capacity analysis, and workflow improvement, with a strong emphasis on validation and security. | — | 5 |
| Control Manager Lead, HR Data & AI Controls, Executive Director This role is a Control Manager Lead focused on HR Data & AI Controls within a large financial institution. The primary responsibility is to ensure end-to-end controls coverage across the HR/EX data and analytics lifecycle, translating enterprise risk expectations into measurable standards. Key areas include leading governance, escalation, and issue remediation for AI and agentic risks, establishing a forward-looking control framework, and strengthening governance for HR data management, HR data products, and HR use of AI/ML capabilities. The role involves partnering with HR CDAO stakeholders to establish oversight for AI and model usage growth, including guardrails for development, validation, monitoring, and change control, and adapting the control environment to agentic AI patterns. | Agent | 5 |
| Lead Software Engineer, Athena Core Risk Team Lead Software Engineer on the Athena Core Risk Team at JPMorgan Chase, responsible for designing and delivering technology products. The role involves executing software solutions, creating secure code, producing architecture artifacts, analyzing data, and driving team adoption of AI-assisted engineering practices. Requires experience with AI tools for development acceleration, code review, testing, and troubleshooting, with a strong understanding of responsible AI use. | — | 5 |
| Lead Security Engineer Lead Security Engineer role at JPMorgan Chase focused on delivering secure software solutions. The role involves applying AI capabilities to enhance security engineering workflows, including threat modeling, vulnerability analysis, and code review, within a regulated fintech environment. Responsibilities include defining security requirements, triaging threats, developing secure code, and conducting vulnerability assessments. | Ship | 5 |
| Business Operations Associate This role is for a Business Operations Associate at JPMorgan Chase in London. The primary focus is on understanding, analyzing, and recommending solutions for operational, regulatory, and reputational risks within Global Corporate Banking. The role involves project management, data analysis, stakeholder interaction, and identifying/escalating operational issues. A key requirement is demonstrated experience using enterprise AI tools like LLM Suite and Microsoft Copilot to enhance research, drafting, analysis, and automation. | — | 5 |
| Senior Director of Software Engineering - Java, AWS, RESTful, Containers Senior Director of Software Engineering to lead multiple technical areas and teams within the Chief Data and Analytics Organization, focusing on Data Mesh, AI/ML, GenAI, and Data Governance platforms. The role involves driving strategic objectives, collaborating across teams, and guiding the development of key platform components. A significant focus is on scaling agentic AI-enabled engineering and SDLC/TLM automation using enterprise-authorized tools, establishing standards, guardrails, and leading multi-organization adoption of these models. | Agent | 5 |
| Project Delivery Management -AI and Agentic performance - Vice President Project Management VP role at JPMorgan Chase focusing on AI and Agentic performance projects within the Wholesale Lending Products and Operations team. The role involves planning, executing, and overseeing these projects, leading multidisciplinary teams, and translating AI/ML concepts into delivery plans. While the role is project management focused, it heavily interacts with AI/ML initiatives. | — | 5 |
| Software Engineer III-UI Developer Software Engineer III-UI Developer at JPMorgan Chase, focused on designing and delivering reliable, market-leading technology products. The role involves executing software solutions, creating secure production code, producing architecture artifacts, and analyzing data for continuous improvement. A key aspect is leveraging enterprise-authorized AI coding assist tools to enhance code quality and productivity, while also understanding and promoting responsible AI use in engineering workflows. Requires strong front-end engineering skills in React, JSX, HTML5, CSS, and experience with state management, AWS deployment, CI/CD, and web security concepts. | — | 5 |
| Lead Software Engineer - Full Stack / AWS Lead Software Engineer for a Commercial & Investment Banking - Markets Tech team focusing on market risk, model risk, and treasury functions. The role involves enhancing, building, and delivering technology products with an AI-first mindset, engaging with product and user teams across various regulatory and financial functions. Responsibilities include executing software solutions, developing secure code, driving adoption of AI-assisted engineering practices, leading evaluation sessions, and contributing to team culture. Requires formal training/certification in software engineering, practical experience in system design and development, demonstrated experience with AI-assisted development tools, understanding of responsible AI use, proficiency in programming languages like Python/Java, cloud-native experience (AWS), and in-depth knowledge of the financial services industry. | — | 5 |
| Quantitative Trading and Research – Prime Financial Services – Vice President Quantitative Trading and Research Vice President role at JPMorgan Chase focusing on developing and maintaining mathematical models, methodologies, and production infrastructure for Prime Financial Services. The role involves transforming, automating, and optimizing trading and risk/pricing workflows using data-driven analytics, systematic strategies, and portfolio optimization frameworks. It requires research-to-production delivery, strong software engineering skills in Python, and leveraging Generative AI models, with a focus on equities and financing products. | Ship | 5 |
| Lead Software Engineer, Cloud Lead Software Engineer for Cloud Foundational Service team, focusing on enhancing, building, and delivering technology products. Responsible for executing software solutions, driving team adoption of AI-assisted engineering practices, and leading the design and delivery of cloud-native platform capabilities. Requires strong understanding of responsible AI use and practical cloud-native experience. | — | 5 |
| Quantitative Trading and Research – Prime Financial Services – Associate Quantitative trading and research role focused on developing and deploying mathematical models and production infrastructure for prime financial services. The role involves automating and optimizing trading, risk, and financing workflows, with a strong emphasis on quantitative modeling, data-driven analytics, and leveraging Generative AI models for production-quality solutions. It spans the full lifecycle from research to production deployment and monitoring. | ServeAgent | 5 |
| Business Transformation, Product Manager-Payments-Vice President Product Manager role focused on business transformation within Merchant Services at JPMorgan Chase. The role involves identifying opportunities to apply AI and automation, redesigning workflows for human-AI teaming, and managing the adoption strategy for new capabilities. It requires understanding AI product performance, evaluation methods, and regulatory requirements in a financial services context. | Agent | 5 |
| Technical Product Manager - Payments - Vice President Product Manager at JPMorgan Chase focusing on Payments Data & Analytics, specifically the Customer Insights team. The role involves leading the end-to-end product life cycle for data-driven products, acting as the voice of the customer, and developing profitable products. A key aspect is driving the adoption and scaling of AI-powered features and products from concept to launch and continuous improvement, collaborating with cross-functional teams to deliver high-quality, scalable, and resilient products. | — | 5 |
| 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 AI trends. | — | 5 |
| Testing & Evaluation Analyst Lead - Vice President Lead the design and execution of automated and AI-driven testing strategies, driving adoption of modern testing tools, frameworks, and practices to build intelligent testing ecosystems and improve quality in global Digital Document Services operations within a financial services context. | — | 5 |