JPMorgan Chase
Banking · Banking
- HQ
- New York City, US
- Founded
- 2000
- Size
- 270,000+
- Website
- jpmorganchase.com
Banking · Banking
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).
| Title | Stage | AI score |
|---|---|---|
| Data Solutions Operations - Automation Analyst The Data Solutions Operations team at JPMorgan Chase is seeking an Automation Analyst to build reporting, dashboards, and automation. This role involves collaborating with stakeholders, developing skills in business intelligence, automation, and machine learning tools, and translating requirements into practical solutions. Responsibilities include building and maintaining dashboards, writing SQL, developing ETL pipelines, supporting machine learning models, and investigating data quality issues. | Data | 5 |
| APAC Branches Operations Strategy and Governance Analyst This role focuses on process optimization and automation within financial services operations using tools like Python, Alteryx, and Tableau. While it mentions familiarity with generative AI, the core responsibilities revolve around business analysis, workflow automation, and data visualization, rather than direct AI/ML model development or deployment. | — |
| 5 |
| Data Scientist Associate Sr - Consumer Bank Marketing Analytics Data Scientist Associate Senior for Consumer Bank Marketing Analytics to improve customer discovery, opening, and usage of products. This role involves partnering with cross-functional teams to inform strategy, shape measurement, and translate analysis into data-driven recommendations. Responsibilities include analyzing customer journeys, monitoring platform health, building business intelligence dashboards, providing actionable analytics for marketing strategies, and analyzing A/B experiments. The role requires experience with SQL, Python, Adobe Analytics, Tableau, Alteryx, and BI platforms, as well as experience with A/B testing and defining KPIs. Experience in financial services is preferred. | — | 5 |
| Valuation Control Stress Testing - Associate Associate in Valuation Control Group focused on stress testing and predictive modeling for financial risk management. Develops models using Python, Excel VBA, and Alteryx, collaborating with various teams and interacting with regulators. Requires strong knowledge of statistical analysis, time series modeling, and applied machine learning. | Data | 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. Design and develop software frameworks for analytics delivery. | Serve | 5 |
| Quant Analytics Senior Associate This role supports the development and deployment of machine learning models and tools for strategic decision-making within a financial organization. Responsibilities include data analysis, model testing, performance monitoring, and translating business needs into technical requirements. The role requires strong analytical and programming skills, particularly in SQL and Python, and experience in a financial institution. | Ship | 5 |
| Seattle Hiring Event - Architecture & Engineering - June 15th/16th 2026 This role focuses on designing and implementing secure solutions for software applications and platform products, with a specific emphasis on creating AI-enabled cybersecurity solutions and reusable frameworks. The responsibilities include architecting complex security frameworks, evolving security protocols, implementing IAM, and leading cybersecurity strategy for AI-enabled products. While AI/ML is mentioned as a practical cybersecurity discipline and the role involves creating AI-enabled solutions, the core function is cybersecurity architecture and engineering, not direct AI/ML model development or research. | — | 5 |
| Software Engineer I Software Engineer I role focused on developing tools for Model Risk Governance & Review (MRGR) at JPMorgan Chase. The role involves building applications primarily in Python, integrating LLMs to enhance automation, reporting, and decision-making, and supporting model reviewers and governance teams. Experience with full-stack development, Python, and integrating ML models is required. | Agent | 5 |
| Outsourcing Operational Risk Management Lead - Vice President This role is responsible for overseeing operational risks related to third-party/outsourcing within a financial institution. A key aspect involves contributing to the development and implementation of AI-enhanced risk monitoring capabilities, specifically leveraging LLM-based functionalities to improve risk assessment and oversight. The role requires experience in financial services risk management, control assessments, and stakeholder influence, with a specific requirement for experience using AI models to drive value in risk management. | Agent | 5 |
| Analytics Solution Associate This role focuses on building and maintaining automated analytical workflows and tools for financial pricing operations, with an emphasis on evaluating and applying AI, generative AI, and intelligent automation to improve efficiency and decision-making. The role involves developing solutions using SAS, Alteryx, Python, and SQL, and supporting AI-assisted productivity use cases. | Agent | 5 |
| Quantitative Trading & Research – Markets Treasury – Associate Associate Quantitative Researcher role focused on delivering data-driven solutions for liquidity, funding, and capital management in financial markets. The role involves designing and implementing advanced models, developing predictive tools, and automating reporting processes using AI/ML applications. It requires strong quantitative, analytical, and programming skills, particularly in Python, with experience in large-scale systems and financial markets. | Ship | 5 |
| Wealth Management , Chief Investment Officer Equities Team, Associate / Vice President This role involves applying AI and machine learning techniques to enhance investment research and portfolio management within a Wealth Management Chief Investment Officer team. The responsibilities include risk modeling, portfolio construction, and quantitative research using Python and large datasets, with a focus on equity markets. | Data | 5 |
| Technology Risk and Controls Lead This role focuses on technology risk and controls within an AI/ML Data Platform at JPMorgan Chase. The lead will identify, quantify, and mitigate technology risks, ensure control effectiveness, and provide subject matter expertise to stakeholders. The role requires experience in technology risk management, familiarity with risk frameworks and regulatory requirements, and a strong understanding of AI/ML technologies and associated risks. | — | 5 |
| Compliance - Technology Operational Risk Management Senior Officer - Associate This role focuses on assessing technology and cyber operational risks within the Wealth Management line of business at JPMorgan Chase. It involves evaluating risks associated with modern software engineering, cloud, cybersecurity, and the adoption of AI-enabled tooling, coding assistants, and agentic AI capabilities. The officer will use Python and SQL for data analysis, identify root causes of production issues, and provide recommendations for improving operational resilience and risk management, with a particular emphasis on AI-related risks. | — | 5 |
| Senior Principal Software Engineer, Global Customer Platform Senior Principal Software Engineer role at JPMorgan Chase focusing on leading the strategy and development of customer platform technologies, creating novel code solutions, and driving the adoption of technical methods. The role requires deep expertise in building and operating high-throughput data platforms and experience applying AI/ML to enhance engineering outcomes and platform intelligence within a secure, stable, and scalable environment. | — | 5 |
| Securities Services Operations Transformation Test Manger, VP This role is for a Test Manager at JPMorgan Chase focused on transforming testing practices within Securities Services using automation, AI, and advanced analytics. The primary focus is on improving efficiency, coverage, and quality of testing through strategic initiatives, process standardization, and adoption of new technologies. While AI is mentioned as a tool to enhance testing, the core function is not building AI models but rather applying AI tools and driving transformation in a financial services context. | — | 5 |
| Data Scientist Lead Lead Data Scientist at JPMorgan Chase focused on marketing analytics, leveraging modern data science and AI tools to improve measurement and streamline processes. Requires strong analytical, communication, and project management skills. | — | 5 |
| Quant Analytics Associate Senior Quant Analytics Associate Senior role at JPMorgan Chase within the Consumer and Community Banking division, focusing on Collections and Recovery Operations. The role leverages data governance, predictive analytics, data science, and machine learning to understand and predict customer behavior, optimize performance, and manage operational expenses. Responsibilities include data programming, trend monitoring, applying AI technology for efficiency, and collaborating across functions to implement strategies and mitigate risks. Requires intermediate to advanced knowledge in statistics, predictive modeling, and machine learning, with proficiency in SQL, SAS, R, Python, and visualization tools. | Post-train | 5 |
| Lead Software Engineer - Java & AI Lead Software Engineer for a cloud-based payments platform, focusing on high performance and low latency. The role involves building new payment flows end-to-end, leveraging AI extensively for development processes, and contributing to innovation and operational stability in a rapidly expanding business. | — | 5 |
| SRE III- Data & AWS Site Reliability Engineer focused on managing and supporting an AWS Databricks platform for data and analytics teams, including data engineering, Data Science/ML, and application teams. Responsibilities include platform design, setup, monitoring, automation, and incident response, with a strong emphasis on SRE best practices and operational excellence. | — | 5 |
| Lead Technical Program Manager - AIML Databricks Lead Technical Program Manager for AI/ML Data Platforms within JPMorgan Chase's Chief Data & Analytics Office. This role focuses on managing complex technology programs related to data platforms, including Databricks and Snowflake, and cloud-native data solutions on AWS. The position requires strong program management, agile delivery, technical fluency in data architectures, and understanding of data governance and compliance in an enterprise setting. While the role supports AI/ML initiatives, its core function is program management of the underlying data infrastructure. | — | 5 |
| Senior Lead Software Engineer - Senior Python Developer Senior Lead Software Engineer with a focus on Python development within Cybersecurity Technology & Controls. The role involves architecting and deploying scalable solutions on AWS, developing secure code, and acting as a subject matter expert in areas like AI-powered agents and data automation pipelines. The engineer will influence the use of cutting-edge technologies such as LLMs, AI frameworks, and vector databases, and integrate AI/LLM-based services to build intelligent automation components. | Agent | 5 |
| Quant Analytics Senior Associate This role supports advanced analytics projects for AML KYC operations within a fintech company. The primary focus is on developing and reporting performance metrics, analyzing customer journeys, and enhancing production reporting. While the role leverages AI-powered tools like LLMs and Copilot and requires familiarity with AI concepts, it does not involve building or shipping AI models directly. The role is customer-facing and aims to improve business function performance and provide self-service tools. | — | 5 |
| Card Fraud Strategy - Senior Associate This role focuses on designing and validating fraud strategies and capabilities within the fintech domain. It involves data analysis, leveraging analytics and AI/ML tools to improve fraud detection, and partnering with product, technology, and operations to develop solutions. The primary output is a fraud strategy that balances risk mitigation, financial performance, customer experience, and operational efficiency, fitting into a shipped product context. | — | 5 |
| Technology Risk and Controls Lead - Portfolio of Applications This role serves as a Technology Risk and Controls Lead for a portfolio of applications, providing expertise in risk identification, remediation guidance, and reporting. It requires experience in assessing technology risks for AI/ML solutions and managing risk frameworks within a corporate environment. | — | 5 |
| Software Engineer I Software Engineer I at JPMorgan Chase within the Model Risk Governance & Review (MRGR) team, focused on developing tools for MRGR Analytics to improve efficiency and reduce duplication of effort. The role involves building dashboards, translating business requirements into applications (primarily Python/Athena), integrating LLMs into existing systems for automation and decision-making, and collaborating with cross-functional teams. Experience with full-stack development, Python, and integrating ML models (including LLMs) is required. | Agent | 5 |
| Software Engineer III - React / TypeScript, Gen AI, Frontend Software Engineer III role focused on building frontend AI-enabled user experiences and improving engineering velocity using AI developer tools. The role involves designing and developing reusable React components, high-performance UIs, and integrating Generative AI features, while emphasizing correctness, security, and quality. It's a pure frontend position within the Securities Services team at JPMorgan Chase. | — | 5 |
| Senior Lead Software Engineer Analytics - Python Lead Software Engineer for JPMorgan Chase's Wholesale Credit Risk Technology Analytics Team, focusing on implementing critical technology solutions, developing secure production code, and identifying automation opportunities. Requires Python and Java proficiency, agile methodology knowledge, and cloud-native experience. LLM Engineering experience is preferred. | Data | 5 |
| Compliance - Technology Operational Risk Management Lead - Vice President This role is for a Technology Operational Risk Management Lead within JPMorgan Chase's Consumer and Community Banking (CCB) line of business. The primary focus is on independent oversight of technology and cybersecurity operational risk management practices. Key responsibilities include conducting risk assessments, evaluating controls, and developing data-driven approaches using agentic AI and advanced analytics for risk identification and control assessment. The role requires collaboration with various technology and business teams, and engagement with stakeholders to manage identified risks within the firm's Operational Risk Management Framework. Experience with AI/ML tools, AI governance, and ethical considerations is also required. | — | 5 |
| Data Scientist, Senior Associate – Product, Experience and Technology (PXT) Analytics Team This role focuses on building measurement frameworks and analytics to quantify improvements in developer productivity and technology efficiency, particularly in the context of GenAI-assisted development. The Data Scientist will analyze complex datasets, develop models to attribute impact, and create reports to influence investment decisions within JPMorgan Chase. | Ship | 5 |
| Quant Analytics Senior Associate This role focuses on developing data-driven solutions for Connected Commerce, leveraging quantitative analytics and Gen AI skills like LLM calling and prompt engineering. The role involves end-to-end development of analytical solutions, including data pipelines and modeling, using cloud technologies and Python. The primary output is the application of these AI skills to optimize commercial transactions and enhance customer experience within the financial services industry. | Agent | 5 |
| Senior Director of Software Engineering - Post Trade Technology - AI Automation Platforms Senior Director of Software Engineering to lead a global technology organization with end-to-end build-and-run ownership of a strategic case management, workflow/task orchestration, and automation platforms utilized across the CIB. The platform supports more than 10,000 users and is engineered to a 99.99% uptime target, enabling critical daily operations and client service through event-based intake (exceptions and email), integration with systems of record, automation through AI capabilities, and robust audit trails, controls and analytics. | Agent | 5 |
| CCOR Automation & Data Analytics - Associate The role focuses on automation and data analytics within the Compliance, Conduct, and Operational Risk (CCOR) organization at JPMorgan Chase. It involves project management of automation initiatives, identifying opportunities for process improvements and AI integration, and enhancing controls, surveillance, and reporting. While the role seeks to adopt AI and GenAI tools, its core function is not the development or research of AI models but rather the application of automation and existing AI tools to improve compliance workflows. | — | 5 |
| Lead Software Engineer - Java Full Stack & AWS Lead Software Engineer (VP) for a Machine Learning and Intelligence Operations Virtual Agent Assist team, focusing on enhancing the call center agent experience through real-time guidance, workflow automation, and intelligent decision support. The role involves designing and delivering end-to-end full-stack features using Java, Spring Boot, REST APIs, and modern UI frameworks, building secure production services, leading technical design discussions, and implementing automation and monitoring. Requires strong Java, Spring, REST, React, SQL, and CI/CD experience, with preferred experience in AWS and generative AI patterns. | — | 5 |
| Java/AWS/Agentic Senior Lead Software Engineer Senior Lead Software Engineer in JPMorgan Chase's Payments Trust and Safety Technology group, focusing on Fraud Protection. The role involves building cloud-native applications on AWS, automating infrastructure, developing secure code, and monitoring performance. A key aspect is utilizing AI agents and emerging technologies to build prototypes for demonstration and to accelerate prototyping with tools like GitHub Copilot. The role requires experience in high-volume, low-latency transactional systems within the financial services industry. | Agent | 5 |
| Process Improvement Associate I This role supports process improvement initiatives by leveraging AI, process mining, and data analysis to identify opportunities for simplification, reduce manual touch points, and drive digital transformation. The associate will analyze data, craft narratives, and collaborate with diverse teams to achieve common goals, contributing to operational excellence and risk mitigation. | — | 5 |
| Marketing Operations Senior Business Analyst The role focuses on automating executive reporting and driving adoption of Tableau, leveraging AI/LLM tools for tasks like automated narrative summaries and anomaly detection. It involves integrating data from various marketing tools, establishing scorecards, and leading user education programs. The primary output is enhanced reporting and data visualization for business insights. | — | 5 |
| Home Lending Modeling & Strategic Forecast - Senior Associate This role focuses on developing, refining, and maintaining quantitative models, including time series forecasting, econometric, and machine learning models, for Home Lending Finance at JPMorgan Chase. The Senior Associate will ensure alignment with firm's model risk guidelines and regulatory requirements, collaborate with stakeholders, and potentially introduce new technologies. The role requires a Master's degree in a quantitative field and 5+ years of experience, with proficiency in Python and SQL. | Data | 5 |
| Wholesale Lending Services – Risk Operations – Strategy & Data Lead, Vice President This role focuses on driving data, analytics, reporting, and intelligent automation within Risk Operations at JPMorgan Chase. The lead will own solutions end-to-end, including design, development, deployment, and continuous improvement of scalable reporting and automation. Key responsibilities include developing data workflows, deploying RPA and intelligent automation, managing automation governance, and identifying AI/ML use cases. The role requires strong SQL, Python, Alteryx, and Tableau skills, along with experience in intelligent automation platforms like UiPath or Microsoft Power Platform. | Agent | 5 |
| Technology Operational Risk Management Director - Executive Director Technology Operational Risk Management Director responsible for second line of defense oversight of technology and cybersecurity/technology operational risk for Commercial and Investment Bank Markets lines of business. Advises senior technology leaders on firm modernization, transformation to modern engineering practices, evaluates risk posture against modernization roadmaps, Agentic AI adoption, and proactively reviews change activity. | — | 5 |
| Software Engineer II, Multi-cloud Software Engineer II role focused on multi-cloud environments (GCP, Azure), leveraging emerging AI/ML technologies for innovation and efficiency. Responsibilities include developing secure code, contributing to product design, advocating for firmwide frameworks, and influencing the use of AI/ML solutions. Requires 3+ years of experience in software engineering with GCP, proficiency in Terraform and Python, and knowledge of cloud-native architectures and SDLC. Preferred qualifications include experience with AI-assisted development tools and AI platforms. | — | 5 |
| Model Risk Program Analyst This role focuses on model validation and governance within JPMorgan Chase's Risk Management and Compliance organization. The analyst will evaluate the conceptual soundness, assumptions, inputs, testing, numerical robustness, and performance metrics of various models used in financial forecasting and business decisions. The role requires strong quantitative skills, experience with statistical/econometric models, proficiency in Python/R, and a deep understanding of financial products and regulatory stress testing. | — | 5 |
| Solutions Analyst – Operations Predictive Modeling & Forecasting Develops and maintains complexity modeling and end-to-end forecast modeling for marketing campaigns, leveraging statistical and machine learning methods for analysis, forecasting, and business strategy optimization. Focuses on predictive modeling, data modeling solutions, and forecasting techniques. | Data | 5 |
| Lead Technical Program Manager - AIML- Databricks Lead Technical Program Manager for AIML Data Platforms within JPMorgan Chase's Chief Data & Analytics Office. This role focuses on managing complex, cross-functional technology programs related to data and AI/ML platforms, ensuring alignment with strategic goals, managing resources, and driving continuous improvement. The role requires strong technical program management skills, agile methodologies, and an understanding of modern data architectures and cloud platforms. | — | 5 |
| Lead Software Engineer - Backend/Java/Cloud Lead Software Engineer role at JPMorgan Chase focused on backend Java development within the Consumer & Community Banking organization. The role involves designing, developing, and troubleshooting technology solutions, with a focus on secure, stable, and scalable delivery. Responsibilities include writing and reviewing code, identifying automation opportunities, leading vendor evaluations, and driving communities of practice for new technologies. Requires 5+ years of Java experience, Spring Boot, REST API, Kafka, and cloud infrastructure knowledge, with a demonstrated proficiency in AI tools like Co-Pilot and LLMs, and in-depth knowledge of the financial services industry. | — | 5 |
| Lead Software Engineer - Test Automation Lead Software Engineer focused on test automation for AI-driven chat solutions within JPMorgan Chase's Commercial & Investment Bank. Responsibilities include designing and executing test strategies, building automation frameworks, integrating tests into CI/CD, and validating AI/ML models for fairness and performance. Requires strong software development, agile, and financial services experience, with preferred skills in LLMs and prompt engineering. | ShipPost-train | 5 |
| UX Conversation Designer, Senior Associate This role focuses on designing conversational AI experiences, specifically for an internal help phoneline, leveraging large language models (LLMs) and traditional IVR systems. The designer will create end-to-end use case flows for voice, chat, and multi-modal interfaces, conduct user research, and collaborate with ML teams to train LLMs based on conversational design principles. The goal is to improve user experience, drive efficiency, and align with business objectives within an enterprise environment. | Agent | 5 |
| Senior Lead Software Engineering - AI/ML Engineer This role is for a Senior Lead Software Engineering - AI/ML Engineer focused on Site Reliability Engineering for AI/ML Data Platforms at JPMorgan Chase in London. The role involves building scalable and resilient data solutions, incident management, root cause analysis, and implementing automation. While it involves AI/ML data platforms and uses Python/PySpark for AI/ML modeling, the core function is SRE and platform engineering, not direct AI model development or research. | — | 5 |
| Software Engineering III - AMDP Software Engineering III role focused on Site Reliability Engineering for AI/ML Data Platforms at JPMorgan Chase. Responsibilities include building and supporting scalable, resilient data solutions, troubleshooting, incident management, root cause analysis, and implementing production changes. Requires proficiency in SRE principles, observability tools, Python/PySpark, and system design. Experience with Databricks, Snowflake, and AWS is preferred. | Serve | 5 |
| Principal Software Engineer - Executive Director This role focuses on building platforms and shared services for AI Governance Engineering within a financial institution. The primary goal is to enable teams to develop, deploy, and operate AI/ML solutions with integrated compliance and governance, emphasizing security, reliability, auditability, and responsible AI. The role involves architecting and building governance-by-design platforms, developing reusable services and APIs, creating developer-first tooling, integrating controls into CI/CD pipelines, and implementing observability for governance platforms. It's a senior engineering role with technical leadership responsibilities. | Eval GateShip | 5 |