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 III - React, TypeScript, JavaScript, Design focused Frontend Software Engineer III focused on building Generative AI Interface solutions using React and TypeScript within JPMorgan Chase's AI Solutions & Business Enablement team. The role involves full SDLC, feature development, performance optimization, and collaboration with cross-functional teams to integrate AI into products. | Ship | 5 |
| KYC Manager - Vice President KYC Manager (VP) at JPMorgan Chase in Istanbul, Türkiye, responsible for managing end-to-end Know Your Customer (KYC) processes for Turkish clients within Wholesale Payments. The role involves leading a team, prioritizing work, partnering with clients and internal stakeholders, ensuring compliance with AML and regulatory requirements, and identifying process improvements. A key aspect is the experience and proactive use of approved AI tools to support KYC casework, including setting guardrails and validating outputs, with a focus on improving quality and efficiency. |
| — |
| 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 |
| BI Developer (Gen AI) – BI and Analytics - Associate Develops and deploys GenAI-based solutions, focusing on prompt/context engineering frameworks, within a BI and Analytics context. Requires strong data engineering, Python, SQL, and ETL pipeline experience, with a foundation in data warehousing and visualization. | Agent | 5 |
| Software Engineer III, Mobile Development Software Engineer III, Mobile Development at JPMorgan Chase, focused on building and enhancing mobile applications. The role involves executing software solutions, creating production code, and leveraging enterprise-authorized AI coding assist tools to improve code quality and delivery speed. It also requires implementing AI/ML-powered mobile features, applying mobile architectures, and optimizing code on real devices. The engineer will also operate CI/CD pipelines and adhere to responsible AI use principles. | — | 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 |
| Senior Product Associate -Data, Digital & AI Product Associate role focused on translating business needs into requirements for AI-enabled solutions within a financial institution, coordinating execution, and tracking success metrics. The role emphasizes process optimization, data-driven insights, and stakeholder satisfaction. | — | 5 |
| Software Engineer III - Java/Python - Learn AI / LLM Software Engineer III role focused on full-stack development using Python, Java, and AI/LLM tools within the investment management cycle at JPMorgan Chase. The role involves building systems for portfolio construction/optimization, leveraging enterprise-authorized AI coding assist tools, and contributing to technology modernization. It requires experience in system design, application development, and understanding responsible AI use in engineering workflows. | — | 5 |
| Sr. Director of Software Engineering Senior Director of Software Engineering for a Commercial and Investment Bank post-trade accounting group, focusing on leading engineering outcomes, driving adoption of technical methods, and specifically setting strategy for agentic AI-enabled engineering and SDLC/TLM automation using enterprise tools. The role involves translating finance requirements into scalable architectures, leading agile pods, driving end-to-end technology execution, and ensuring production stability. A key focus is establishing guardrails for AI validation, security, resiliency, and traceability, and applying AI-assisted development capabilities. Experience in regulated financial environments is preferred. | Agent | 5 |
| Lead Software Engineer - Java Lead Software Engineer role at JPMorgan Chase, focusing on enhancing and delivering technology products within the Corporate & Investment Bank - Payments division. The role involves executing software solutions, developing secure code, and driving team adoption of enterprise-authorized AI-assisted engineering practices. Requires strong Java skills, experience with SDLC tools, and knowledge of the financial services industry. Emphasizes responsible AI use and validation of AI outputs. | — | 5 |
| Lead Architect Lead Architect for payment processing platforms at JPMorgan Chase, focusing on designing and implementing robust, scalable, and secure solutions. The role involves leveraging enterprise AI capabilities to enhance architecture discovery and establish AI-enabled engineering patterns, while ensuring compliance with financial regulations. | — | 5 |
| Software Engineer III - Python Full Stack, AI Software Engineer III at JPMorgan Chase, Commercial & Investment Bank, focused on 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. Responsibilities include producing architecture and design artifacts, analyzing data for continuous improvement, and contributing to software engineering communities. Requires formal training/certification, 3+ years of experience, proficiency in Python, and experience with AI-assisted development tools and responsible AI use. | — | 5 |
| Product Delivery Manager Product Delivery Manager for an Employee Assistant team, focusing on enabling the delivery of Agentic AI products in a stable and scalable way. The role involves managing end-to-end product delivery processes, including intake, dependency management, release management, and operationalization, while ensuring adherence to risk, controls, compliance, and regulatory requirements. The manager will facilitate product planning, Agile ceremonies, and track team progress against the roadmap. | Agent | 5 |
| Process Improvement Associate I - Process Intelligence This role focuses on process improvement within JPMorgan Chase, aiming to optimize business components, enhance operational efficiency, and reduce risk. While it involves leveraging AI tools like LLM suites and copilot for analysis and automation, the core function is not building AI models but rather applying existing AI tools to improve business processes and products. The role requires strong data analytics, storytelling, and communication skills to influence senior leaders and drive continuous improvement initiatives. | — | 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 |
| Firewall Infrastructure Engineer This role is for an Infrastructure Engineer III at JPMorgan Chase, focusing on improving data and systems at scale, end-to-end monitoring, and capacity management. The engineer will utilize enterprise-authorized AI capabilities to accelerate monitoring, capacity analysis, and documentation, and apply AI-assisted approaches for identifying recurring capacity risks and improving remediation workflows. The role requires strong knowledge of infrastructure disciplines, experience with firewalls and related tools, scripting languages, APIs, and networking fundamentals. While the role uses AI tools, its core craft is infrastructure engineering, not building AI models. | — | 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 JPMorgan Chase is seeking an Experience Design Vice President to lead strategic design and research initiatives for employee experience, blending business needs and user insights. The role involves shaping user experiences across products and services, developing innovative solutions, and collaborating with cross-functional teams. The candidate will be responsible for design strategies, wireframing, prototyping, user research, and ensuring inclusive design practices. A strong portfolio demonstrating shipped work and measurable impact is required. Experience with AI-enabled design is preferred. | — | 5 |
| Lead Data Engineer - Python, SQL - Team Lead - Vice President Lead Data Engineer at JPMorgan Chase, responsible for leading a squad of data engineers, managing agile ceremonies, and delivering technology products. The role involves using enterprise-authorized AI capabilities to accelerate data platform and model design, applying AI-assisted practices in operational routines, and owning end-to-end data solutions. Requires strong Python, SQL, and AWS skills, with experience across the data lifecycle and modern software architecture. | — | 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 |
| Lead Technical Program Manager Lead Technical Program Manager for Corporate Investment Banking's Graphite Platform, focusing on stability, re-architecture, observability, performance, testing, and deployment. The role involves driving complex technology projects, managing resources and budgets, and fostering innovation. A key aspect is leveraging enterprise-authorized AI capabilities to enhance program planning, risk synthesis, and reporting, with a strong emphasis on validation and data sensitivity. | — | 5 |
| Asset Management - EMD Support Portfolio Manager - Associate Associate role in Emerging Markets Debt platform focused on improving investment team productivity through disciplined automation and strengthening portfolio construction and risk analytics. Involves compliant use and integration of AI/LLM-enabled workflows, building scalable analytics, portfolio construction tools and agents, and automated reporting. | Agent | 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 |
| Product Solutions Manager This role is a Product Solutions Manager for the Fusion platform at JPMorgan Chase, focusing on improving client experience through service excellence and operational insights. The Fusion platform is described as a data and AI platform supporting the full AI lifecycle. The role involves building service analytics, driving problem management, partnering with engineering teams, and optimizing service operations. While the platform is AI-related, the role itself is focused on product management and service operations, not direct AI/ML development. | — | 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 |
| Senior Lead Software Engineer - Python, AWS, Snowflake Senior Lead Software Engineer role focused on integrating and driving the adoption of AI-assisted engineering practices and tools within the software development lifecycle at JPMorgan Chase. The role emphasizes building robust, secure, and innovative technology products while ensuring responsible and compliant use of AI technologies. | — | 5 |
| Vice President - Data Owner Lead (Data & Analytics) This role focuses on data ownership and governance within an enterprise setting, aiming to create high-quality, reusable data products. While it leverages AI/ML and LLM tooling for automation, the core function is data management and product delivery, not direct AI model development or research. The role involves collaborating with various teams to ensure data is understood, fit for purpose, and well-governed, supporting advanced analytics and ML use cases. | — | 5 |
| Lead Software Engineer -SRE (Grafana, Dynatrace, SLO/SLI) Lead Software Engineer for AI/ML Data Platforms focusing on Site Reliability Engineering (SRE). Responsibilities include building scalable data solutions, incident management, root cause analysis, mentoring, and driving adoption of AI-assisted engineering practices for code quality, delivery speed, and operational outcomes. Requires expertise in SRE principles, observability tools, Python/PySpark for AI/ML, and system design. Must automate tasks and understand responsible AI use. | Serve | 5 |
| Software Engineer III, Rates Technology Software Engineer III on the Rates Technology team at JPMorgan Chase, responsible for designing and delivering technology products. The role involves executing software solutions, creating production code, and leveraging enterprise-authorized AI coding assist tools to improve code quality and productivity. It also includes gathering and analyzing data for system improvement, producing architecture artifacts, and contributing to software engineering communities. Requires experience in system design, application development, coding (preferably Python), and using AI-assisted development tools, with an understanding of responsible AI use. | — | 5 |
| Lead Site Reliability Engineer Lead Site Reliability Engineer role focused on integrating and managing enterprise-authorized AI capabilities to enhance reliability engineering workflows, including design, operational decisioning, and SDLC practices. Requires strong SRE fundamentals, programming skills, and experience with AI tools in a regulated environment. | Serve | 5 |
| Software Engineer III, Global Equity Portfolio Management Technology Software Engineer III role focused on supporting and enhancing critical portfolio management applications within JPMorgan Chase's Asset Management division. The role involves designing and engineering scalable systems, architecting event-driven capabilities, and driving engineering best practices. A significant aspect is the championing and application of AI-assisted development tools and patterns to improve code quality, delivery speed, and productivity, while emphasizing responsible AI use and critical evaluation of AI outputs. | — | 5 |
| Technology Support Lead Application Support Engineer role focused on providing technology application support, SRE principles, and incident management for Securities Services products in the Asia Pacific region. The role involves leading team adoption of enterprise-authorized AI capabilities to improve incident triage and applying AI-assisted practices for production operations. | — | 5 |
| Lead Site Reliability Engineering - Network Lead Site Reliability Engineer focused on network infrastructure, responsible for defining and implementing reliability principles, driving adoption of best practices and observability, and providing Tier-3 support. The role involves using and evaluating enterprise-authorized AI capabilities to enhance SRE workflows, including incident response and analysis, while ensuring security and data sensitivity. | Serve | 5 |
| Senior Lead Site Reliability Engineer-Network ETRADE INFRA This role focuses on infrastructure engineering, specifically in networking for electronic trading services. While it involves using enterprise-authorized AI capabilities to enhance reliability design, operational decisioning, and SDLC workflows, the core function is not building AI models but rather leveraging existing AI tools to improve infrastructure operations. The role requires expertise in networking, cloud infrastructure, and setting practices for safe AI usage in operations. | — | 5 |
| Lead Software Engineer Lead Software Engineer for the Corporate Technology, Risk Technology team, focusing on site reliability. The role involves leading initiatives to improve application reliability and stability, driving team adoption of enterprise-authorized AI-assisted engineering practices for code quality, delivery speed, and operational outcomes, and ensuring responsible AI use with a focus on data sensitivity, security, and compliance. The engineer will also serve as a point of contact during major incidents and mentor other engineers. | — | 5 |