JPMorgan Chase
Banking · Banking
- HQ
- New York City, US
- Founded
- 2000
- Size
- 270,000+
- Website
- jpmorganchase.com
JPMorgan Chase has 448 active AI-related job listings. The majority of these roles, 55%, are focused on agents, with application roles making up another 17%. The dominant function for these positions is Engineering, with a significant number of roles also in Product. The company is primarily hiring in the United States, followed by the United Kingdom and India. Frequent tech tags include agent_orchestration, llm_observability, and model_serving. In the last 30 days, JPMorgan Chase posted 275 new AI roles, representing a 76% increase compared to the previous 30-day period.
Currently tracking 305 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
JPMorgan Chase currently has 450 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (6), Applied AI ML Director (5), Applied AI ML Lead (4), Applied AI ML-Vice President (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (56%), application (17%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
JPMorgan Chase is hiring AI talent in: United States (306 roles), United Kingdom (71 roles), India (52 roles), Singapore (12 roles).
Job postings at JPMorgan Chase most frequently reference: agent orchestration, llm observability, model serving, rag, fine tuning.
In the past 30 days, JPMorgan Chase has posted 161 new AI-related roles. That is a -33% change versus the prior 30 days (242 → 161).
Banking · Banking
| Title | Stage | AI score |
|---|---|---|
| Experience Design Vice President- Agentic AI This role is for an Experience Design Vice President focused on Agentic AI within JPMorgan Chase's digital division. The primary responsibility is to shape user experiences for AI-powered financial products, collaborating with engineering and AI platforms to prototype and validate agentic experiences. The role requires a strong understanding of user experience design, inclusive design, and emerging AI technologies like LLMs, Agents, and RAG, with a focus on designing for trust and autonomy in AI systems. | — | 5 |
| Credit -Systematic Market Making – Vice President This role involves designing, implementing, and scaling systematic pricing and execution strategies for corporate bonds and ETFs within a financial markets team. It requires applying quantitative modeling, software engineering, and data science, with a focus on machine learning for market modeling and algorithmic trading. The role emphasizes end-to-end delivery of production trading systems and managing risk in fixed income markets. | Serve |
| 5 |
| Senior Lead Architect, Digital and Agentic Channels Senior Lead Architect role in financial services focused on digital and agentic channels. The role involves leading strategy, modernization, and innovation, partnering with business and technology leadership to define multi-year strategies. Responsibilities include technical governance, evaluating new technologies (including AI/ML and GenAI), providing technical guidance, developing secure code, influencing product design, and contributing to the engineering community. Requires experience with LLMs for business problems, including tracing, evaluations, and guardrails, along with strong software architecture and cloud-native experience. | Agent | 5 |
| Managing Director, Tech Partner, Collections & Auto Servicing Managing Director of Software Engineering / Tech Partner responsible for leading technology initiatives and teams in Collections & Auto Servicing. The role focuses on driving large-scale, business-critical technology outcomes, influencing strategy, and providing technical direction. Key areas include cloud-native platforms, event-driven architectures, AI-assisted and agentic systems, and large-scale automation, with a strong emphasis on AWS. The role involves setting technical and architectural direction for modernization, new builds, platform evolution, and AI-enabled automation, and guiding teams in the responsible use of AI-assisted development tools and intelligent orchestration. | Agent | 5 |
| Investment Banking Data & Analytics - Vice President This role focuses on building and scaling data products and pipelines for analytics and AI/ML within Investment Banking. The Vice President will own a portfolio of data products, build and operate data pipelines, and enable AI/ML workloads by provisioning features and labeled datasets. The role emphasizes data governance, quality, and compliance, with a strong focus on product thinking and delivering actionable insights through various consumption channels. | Data | 5 |
| Tech Audit Manager, Vice President- Artificial Intelligence & Technology Platforms This role is for a Tech Audit Manager, Vice President at JPMorgan Chase, focusing on Artificial Intelligence & Technology Platforms within the Chief Data & Analytics Office Audit team. The primary responsibility is to lead and execute audits of critical technology functions, including AI and Data Management Platforms, assessing risks and controls, and ensuring compliance. The role requires a strong understanding of technology risk concepts, AI, data analytics, and internal controls within the financial services industry. | — | 5 |
| Strategy & Analytics for Business Growth Senior Associate This role focuses on using AI and advanced analytics to drive revenue growth in global banking, identifying opportunities in M&A, capital markets, and payments. The Senior Associate will analyze internal and external data, build models, and provide insights to senior business leaders. While AI/LLM tools are used for insight generation, the core function is strategy and analytics, not building AI models. | — | 5 |
| Lead Cloud Security Engineer Lead Cloud Security Engineer for Data & AI/ML services in Public Cloud, focusing on risk management, security controls, and compliance within a financial services firm. | — | 5 |
| Lead Software Engineer - Java, AWS, AI Lead Software Engineer with a focus on Java, AWS, and AI within the AMLKYC Product team at JPMorgan Chase. The role involves enhancing, building, and delivering technology products, conducting critical technology solutions, and leading platformization initiatives using AI and automation. Requires strong software engineering experience, cloud development, and knowledge of the financial services industry. | — | 5 |
| Python Full stack Lead Software Engineer Lead Software Engineer for Commercial and Investment bank Equities team, responsible for enhancing, building, and delivering technology products. Spearheads greenfield initiatives using AI to improve user analysis capabilities for loan documentation storage and access, and re-architects existing platforms for performance and scalability. | Agent | 5 |
| Sr. Lead Software Engineer Sr. Lead Software Engineer at JPMorgan Chase within Commercial & Investment Bank Compute Runtime Platforms, responsible for enhancing, building, and delivering technology products. The role involves designing, implementing, and optimizing distributed computing solutions, and leveraging Generative AI and AI tooling for monitoring and management of compute environments. Requires expertise in C++, Python, Kubernetes, HPC technologies, GenAI, agent frameworks, and observability tools. | Serve | 5 |
| Fraud Strategy Analytics - Vice President - Bengaluru/Mumbai This Vice President role in Fraud Strategy at JPMorgan Chase focuses on designing, validating, and enhancing fraud strategies and capabilities. It involves leveraging data analysis, AI/ML, and advanced analytics to improve fraud detection and treatment, while balancing risk mitigation, financial performance, customer experience, and operational efficiency. The role requires collaboration with product, technology, and operations teams, and staying updated on industry trends. | Ship | 5 |
| Product Delivery Director - Stability & Resiliency Product Delivery Director for Stability & Resiliency in Payments Technology at JPMorgan Chase. This role focuses on leading global teams to deliver high-quality business and client assurance testing for payments products. The director will set the vision for adopting advanced AI, data-driven validation, and automation to accelerate change and minimize risk, ensuring robust governance and control for technology change. The role also involves coordinating the Regional Stability & Resiliency Forum for EMEA Payments. | — | 5 |
| Corporate Finance – Data Science Product Associate This role is for a Data Science Product Associate at JPMorgan Chase, focusing on building data and analytics products for Finance. The role involves translating business needs into analytics-driven features, collaborating with product, data science, and engineering teams, and supporting the development and testing of AI/ML models and their controls. Key responsibilities include analyzing product usage, building dashboards, ensuring compliance with data and model risk standards, and managing backlogs using Agile practices. The role requires a quantitative background, proficiency in SQL, Python/R for analysis and model evaluation, experience with experimentation, and knowledge of data and BI concepts. | Data | 5 |
| Market Risk FRTB – Implementation & Analytics – Vice President / Associate Lead FRTB market risk capital implementation and analytics using AI-powered solutions, partnering with cross-functional teams to build regulator-ready systems. This role focuses on enhancing market risk analytics, controls, and governance through AI/LLM adoption and enterprise data strategy. | — | 5 |
| Client360 - Business Initiatives Manager– Vice President Product Manager role within JPMorgan Chase's Client360 team, focusing on unifying client data and delivering enterprise-wide insights. The role involves end-to-end product lifecycle management, from strategy and discovery to launch and iteration, with a focus on customer value, scalability, and collaboration. While the role leverages AI/ML for insights, it is not a core AI/ML development role. | — | 5 |
| Risk Management - Wholesale Credit Risk Vice President This role focuses on developing and implementing machine learning models for wholesale credit risk management at JPMorgan Chase. Responsibilities include leading model development, designing statistical and econometric models, developing stress capital models (CCAR, ICAAP, CECL), and utilizing AI/ML techniques for risk monitoring and predictive modeling on large datasets. The role requires strong programming skills in Python and knowledge of credit risk modeling, with experience in regulatory reviews being essential. | Data | 5 |
| Senior AI Technology Strategy - Lead Technical Program Manager Lead Technical Program Manager for Asset & Wealth Management Technology Strategy team at JPMorgan Chase. Focuses on defining and executing technology priorities, driving strategic initiatives, and supporting decision-making. Requires experience in technical program management, AI/cloud/data analytics strategy, and stakeholder management within a large financial organization. | — | 5 |
| Infrastructure Engineer III Infrastructure Engineer III role focused on enterprise software deployment, leveraging AI and agentic AI for automation. Requires 5+ years of experience in infrastructure engineering, software deployment, scripting (Python, PowerShell, .NET), and cloud technologies. The role involves architecting and implementing solutions, automating software delivery, and collaborating with cross-functional teams. | Serve | 5 |
| AI/LLM SRE Lead Software Engineer Lead Software Engineer focused on SRE for AI-powered applications and infrastructure, emphasizing reliability, scalability, and automation. Responsibilities include designing AI-driven alerting and incident response systems, building observability, and mentoring engineers on AIOps. | Serve | 5 |
| Product Manager, C360 Consumptions Lead Product Manager at JPMorgan Chase focused on leading the Client360 Consumptions Lead initiative. The role involves shaping product strategy, managing the end-to-end service lifecycle, and maximizing the value of data and AI solutions for commercial and investment banking clients. Responsibilities include market research, backlog management, defining success metrics, collaborating with engineering and business teams, and ensuring regulatory compliance. Requires strong product management experience, knowledge of data analytics, and stakeholder management. | — | 5 |
| International Private Bank - South East Asia - Markets Business Manager - Vice President - Singapore This role is for a Market Business Manager (VP) at JPMorgan Chase's International Private Bank in Singapore, focusing on driving growth in South East Asia. The role involves partnering with Market Heads to align priorities, streamline collaboration, mitigate risks, and leverage AI/LLM-driven data insights for decision-making. Responsibilities include spearheading strategic initiatives, leading dynamic projects, enhancing cross-team collaboration, identifying and addressing business risks, and analyzing data using digital tools. The ideal candidate has a Bachelor's degree in Finance or equivalent, a minimum of 10 years of experience in financial services (preferably private banking in SEA), strong business acumen, analytical skills, and proficiency in AI/LLM tools, Excel, and Alteryx. | — | 5 |
| Executive Director, Chase Auto Marketing Transformation & Operations Executive Director role focused on marketing transformation and operations within Chase Auto, a financial services division. The role involves leading integrated marketing campaigns, modernizing processes with AI, automation, and data-driven personalization, and managing a high-performing team. Requires extensive marketing leadership experience and a track record of integrating advanced digital capabilities. | — | 5 |
| Lead Software Engineer - Engineering Advocacy Lead Lead Software Engineer focused on Engineering Advocacy within the Payments domain at JPMorgan Chase. The role involves embedding with application teams to drive adoption of architecture standards and AI-assisted development practices, influencing engineering practices across 10,000 engineers through hands-on coding, gemba walks, tech talks, and content creation. The goal is to improve how teams build and adopt best practices in a high-volume transaction environment. | — | 5 |
| Valuation Controller Associate - Credit North America This role is for a Valuation Controller Associate in the Credit North America team at JPMorgan Chase. The primary focus is on applying data science skills to ensure fair value across complex financial products, particularly illiquid credit products. Responsibilities include developing analytics and models for valuation risk assessment, building tools for outlier detection and benchmarking, inferring fair value from sparse data, and exploring new data sources and techniques. The role requires a degree in a numeric or STEM field, knowledge of credit markets, experience with AI/ML, proficiency in Python and data science libraries, and strong communication skills. Collaboration with technology and quantitative research teams is expected. | — | 5 |
| CCOR Data & AI - Vice President This role is for a Vice President in the EMEA Compliance team at JPMorgan Chase, focusing on Data, Privacy, and AI regulations within the banking sector. The position involves providing oversight, subject matter expertise, and support to ensure compliance with laws like GDPR and the EU AI Act, and contributing to reports for senior management. The role requires partnering with various internal teams and external regulators, developing risk mitigation strategies, and overseeing the firm's compliance with evolving data, privacy, and AI regulations. | — | 5 |
| Lead Technical Program Manager – AI and Data Management Controls Lead Technical Program Manager for AI and Data Management Controls in a fintech environment, focusing on delivering risk and controls projects, managing AI/ML initiatives, and utilizing automation and data analytics for risk assessment and reporting. | Ship | 5 |
| Brand Designer, Senior Associate Brand Designer, Senior Associate at JPMorgan Chase responsible for developing and executing visual identities and designs across various brand touchpoints. The role involves collaborating with creative leads and cross-functional teams, applying design principles, and integrating generative AI tools into the workflow. | — | 5 |
| Chief Data & Analytics Office Strategy, Senior Associate This role is within the Chief Data & Analytics Office (CDAO) strategy team at JPMorgan Chase, focusing on developing and driving the firm's data and AI strategy. The Senior Associate will manage high-priority strategy projects, analyze industry trends, and create executive-level documents to articulate the value and direction of AI and data priorities within the financial services sector. The role requires strong analytical, communication, and leadership skills, with familiarity in engaging stakeholders on complex technical concepts related to AI and data. | — | 5 |
| Product Design and User Experience – Vice President, APAC Chief Data & Analytics Office This role focuses on the product design and user experience for data and AI products within JPMorgan Chase's Chief Data & Analytics Office in APAC. The Vice President will shape and deliver end-to-end design, development, and delivery of these products, ensuring exceptional value, usability, and client satisfaction by leveraging design thinking, prototyping, and UI/UX best practices. The role involves collaborating with cross-functional teams, creating design artifacts, and ensuring compliance with regulatory requirements. | — | 5 |
| Platforms and Infrastructure Associate – APAC Chief Data & Analytics Office Associate role focused on delivering and supporting APAC-specific data and AI platforms, ensuring they meet business and regulatory needs. Responsibilities include vendor coordination, platform operations, integration of data and AI solutions, and ensuring compliance with data governance and regulatory requirements within a financial services context. | — | 5 |
| Platforms & Infrastructure Vice President – APAC Chief Data & Analytics Office Vice President role focused on overseeing the delivery and integration of APAC-specific data and AI platforms within JPMorgan Chase's Chief Data & Analytics Office. The role emphasizes building robust, scalable, and compliant infrastructure to support data-driven transformation, manage risks, and meet business and regulatory needs in the financial services sector. | — | 5 |
| Digital Data Owner Lead - Vice President This Vice President role focuses on data ownership and governance within a financial institution, aiming to enable AI/ML use cases by ensuring data quality, defining critical data, and developing AI-ready data products. The role involves managing data lifecycles, mitigating risks, and collaborating with technology and business partners to deliver impactful data solutions. | Data | 5 |
| Sr Lead Software Engineer - Java, Kafka, AI, Securities Experience, Senior Lead Software Engineer at JPMorgan Chase focused on US Listed Options platforms. This role involves leading technology teams, designing and developing mission-critical applications, migrating legacy systems to cloud-native architectures, and driving the adoption and integration of AI technologies. Requires deep experience in software engineering, securities processing, financial services, and AI-based development. | Ship | 5 |
| Product Delivery Manager - Data & AI - Vice president Product Delivery Manager (VP) at JPMorgan Chase, focused on leading firmwide data/ML/AI projects and programs within the Chief Data and Analytics Office (CDAO). The role involves strategic direction, end-to-end execution, stakeholder management, and ensuring alignment with bank objectives, with a strong emphasis on data management, lineage, controls, and regulatory compliance (BCBS). The position requires technical savviness in data architecture and familiarity with AI/ML operations, aiming to enhance customer experiences through data-driven innovation. | — | 5 |
| Lead Software Engineer- Market Risk Lead Software Engineer for Market Risk at JPMorgan Chase, focusing on Python development to deliver practical solutions for risk management. The role involves transforming MVPs into production solutions, supporting VaR and Stress workflows, and using LLMs as an AI generalist to enhance prototyping, documentation, and operational support. | Agent | 5 |
| AI/ML Solutions Enablement – Vice President, APAC Chief & Data Analytics Office This role focuses on enabling the adoption and value realization of AI/ML solutions within a financial services context in the APAC region. It involves identifying use cases, translating business needs into technical plans, fostering AI literacy, and supporting the operationalization of AI/ML capabilities. The role requires strong collaboration with business and technology teams, understanding of the data lifecycle, and the ability to communicate complex AI concepts to business stakeholders. While it deals with AI/ML solutions, the core function is enablement and productization rather than direct AI/ML model development or research. | — | 5 |
| Asset & Wealth Management - Equities Quantitative Investment Analyst - Associate/ Vice President JPMorgan Chase is seeking a Quantitative Investment Analyst to join their Equity Portfolio Management team. The role involves combining fundamental equity analysis with quantitative and factor-based approaches, supporting risk modeling, portfolio construction, and quantitative research using Python/R. The candidate will also contribute to the application of AI/ML techniques to enhance investment research and portfolio management. | Data | 5 |
| Business Analyst Manager This role is for a Business Analyst Manager within JPMorgan Chase's CIB Payments Operations team. The manager will lead a team of Data Analysis Associates to improve operational efficiency and support strategic fraud initiatives. Responsibilities include team leadership, roadmap ownership for reporting and analytics, driving data analysis for fraud trends, managing data pipelines, leading quality and change management, delivering reporting and visualizations, strengthening controls, managing delivery and SLAs, and championing ways of working. The role requires experience in data, analytics, or technology supporting fraud/risk/operations, people leadership, data analysis skills, proficiency in automation/BI tools, and understanding of software delivery lifecycles. Experience with JIRA, Alteryx, Tableau, SQL, and payments/card domains is preferred, along with some exposure to ML-adjacent solutions and AI tools. | — | 3 |
| Campaign Testing Automation This role focuses on developing intelligent testing frameworks using tools like Python, Selenium, and internal AI tools to automate validation of campaign assets (online and offline)—such as emails, microsites, direct mail, and online ads. The analyst will also play a key role in identifying strategic testing gaps by mapping full campaign and customer journeys and designing scalable testing solutions. | — | 3 |
| Control Manager - Associate This role focuses on analyzing risks and designing controls within a financial services context, leveraging digital tools, automation, and data analytics. While it mentions AI/ML and LLM practices, the core function is risk management and control, not direct AI/ML model development or deployment. The role aims to support innovation and technology adoption within risk management. | — | 3 |
| Commercial & Investment Bank - Research Analyst (12 months Fixed Term Contract) Research Analyst role at JPMorgan Chase focused on equity research, requiring financial modeling, valuation, and industry analysis. The role involves applying data analytics, automation, and AI/LLM tools to enhance analysis and workflows, alongside traditional research tasks. Requires a minimum of 1 year of experience in a relevant analytical role and a degree in a quantitative or financial field, with a core capability in statistics, programming, and AI/LLM use. | — | 3 |
| Business Analyst, Senior Associate This role focuses on translating business requirements into technical specifications for reporting and analytics products, including those powered by AI and automation. The Business Analyst will bridge the gap between business stakeholders and data/engineering teams, overseeing the development, testing, and deployment of these products. While AI is mentioned as a component of modernization, the core function is business analysis and product delivery for reporting. | — | 2 |
| Asset Management Data Quality Lead - Vice President This role focuses on defining and executing a data quality tooling strategy within Asset Management, aiming to improve data quality outcomes through practical tooling, operating practices, and transparency. While AI/ML is mentioned as a potential tool for accelerating detection, triage, and remediation of data quality issues, it is not the core craft of the role. The primary focus is on data management, governance, strategy, and product leadership for data quality tooling. | — | 2 |
| Python Quant Data Engineer - Systematic Trading Technology Python Quant Data Engineer role focused on building and supporting data pipelines, research infrastructure, and tools for a systematic equities trading business. Requires strong Python, KDB/Q, and data processing experience, with knowledge of machine learning and financial services. | — | 2 |
| Compliance Risk Management Senior Officer - Associate This role supports Auto Financing, Pricing, and Credit strategies within Compliance, Conduct, and Operational Risk (CCOR) at JPMorgan Chase. The Senior Associate will provide independent oversight and assessment of risks, particularly focusing on business-driven initiatives including the adoption of AI capabilities. Responsibilities include evaluating compliance and operational risks, recommending enhancements, and leveraging AI/ML tools for data analysis and oversight routines. The role requires experience in risk management and the ability to analyze AI/ML-enabled solutions within a regulated financial environment. | — | 2 |
| Quant Analytics Associate - Time Series Forecasting Strategist - Workforce Planning This role focuses on time-series demand forecasting for contact center operations, applying operational analytics and strategy tools to enhance the forecasting process. Responsibilities include identifying opportunities for improvement, monitoring and evaluating forecast accuracy, providing analytical leadership, and exploring automation frameworks using Python. The role requires a strong quantitative background with experience in forecasting, modeling, inferential statistics, and proficiency in tools like Python, R, or SAS. | — | 2 |
| Product Director - Data/AI Onboarding & Change Management Product Director role focused on driving the adoption and rollout of strategic Data and AI programs within JPMorgan Chase. The role involves managing the end-to-end onboarding lifecycle, translating objectives into adoption plans, coordinating across programs, and ensuring delivered capabilities meet business needs. It requires strong stakeholder management and program governance within a regulated financial services environment. | — | 2 |
| International Consumer Banking - Business Reporting Associate This role focuses on business reporting and data analysis within the International Consumer Banking sector. While it involves using AI tools for analysis and handling big data, the core responsibilities are in data wrangling, dashboard development, and providing insights, rather than building or researching AI models. The role requires strong analytical skills, SQL, Excel, and potentially Python for data modeling. | — | 2 |
| Senior Internal Auditor - Associate – Private Bank/Wealth Management Solutions This role is for a Senior Internal Auditor within JPMorgan Chase's Private Bank/Wealth Management Solutions team. The primary focus is on planning, executing, and documenting audit engagements, evaluating risks and controls, and providing insights to strengthen the control environment. A key aspect of the role involves identifying opportunities to leverage AI-enabled tools, prompt engineering, and data analytics to enhance audit quality and efficiency across the audit lifecycle. The role requires experience in internal auditing, understanding of internal control concepts, and knowledge of relevant financial industry regulations. Experience with data analytics and large language models is also required, with a preference for AI-enabled productivity tools. | — | 2 |