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, with 1184 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
JPMorgan Chase currently has 445 active AI-related roles in our index. The most common open titles are: Data Scientist [Multiple Positions Available] (7), Lead Software Engineer (6), Applied AI ML-Vice President (4), Applied AI/ML Lead (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (57%), application (17%), serving infrastructure (9%). 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 (299 roles), United Kingdom (64 roles), India (56 roles), Singapore (16 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 178 new AI-related roles. That is a -35% change versus the prior 30 days (274 → 178).
| Title | Stage | AI score |
|---|---|---|
| Sr Director of Software Engineering Senior Director of Software Engineering to lead multiple technical areas and departments, focusing on setting strategic direction and driving the adoption of agentic AI-enabled engineering and SDLC/TLM automation within a financial services context. The role involves collaborating across technical domains, engaging with business stakeholders, and establishing governance, measurement frameworks, and guardrails for AI-driven workflows. | Agent | 7 |
| E-Markets [Multiple Positions Available] This role focuses on managing and optimizing electronic credit trading algorithms, involving price delivery, risk management, and data analytics. It requires experience in developing event-oriented processing engines, performing predictive modeling with deep learning methods (RNNs, LSTMs), and data analysis using various tools like Java, Python, kdb, SQL, and Tableau. The goal is to improve trading operations, manage risks, and provide solutions for clients' trading strategies within a fintech environment. |
| Serve |
| 7 |
| Applied AI/ML Associate Senior - Causal ML This role focuses on applying GenAI, ML, and statistical models, with a strong emphasis on causal inference, to solve business problems in Global Wealth Management. The associate will develop and productionize AI/ML solutions, understand cause-and-effect relationships in observational data, and coach other team members. | Agent | 7 |
| Quantitative Trading & Research - Systematic Trading - Associate Quantitative trading role focused on end-to-end alpha research and strategy deployment in equity derivatives and volatility markets, leveraging advanced data analytics, statistical modeling, and machine learning. The role involves feature engineering, building calibration/attribution/monitoring frameworks, and partnering with trading for strategy implementation, execution, hedging, and risk management. It also includes building reusable research libraries and tooling, with a plus for leveraging AI/ML and AI tooling for research acceleration and developer productivity, including AI productionization and AI agents. | AgentServe | 7 |
| Director of Software Engineering Director of Software Engineering to lead technology and process implementations, focusing on agentic AI-enabled engineering and SDLC/TLM automation. The role involves setting direction, governance, and driving adoption of AI practices across teams, ensuring responsible AI use, security, and scalability within enterprise workflows. | Agent | 7 |
| Data Science Senior Associate - Card Data & Analytics team Develops and implements AI/ML solutions, including GenAI and LLM-enabled applications, for the Credit Card business, focusing on driving data science and analytics strategies and delivering actionable insights. | AgentPost-train | 7 |
| Data Management Senior Associate This role focuses on developing and implementing AI/LLM-based strategies for data governance within the Consumer and Community Banking division of JPMorgan Chase. The primary goal is to manage data risks associated with enterprise data warehouse solutions, including data catalogs, data lakes, and reference data, as the organization transitions to the public cloud. The role involves defining and executing protocols, managing master data management strategies, and collaborating with various stakeholders to ensure data risks are understood and mitigated. | Data | 7 |
| Lead Software Engineer – Python / Java - AI -Markets Technology, Credit Pre-Trade Technology Lead Software Engineer role focused on building and supporting AI-native systems to enhance eTrading capabilities within JPMorgan Chase's Credit Pre-Trade Technology team. The role involves designing, developing, and troubleshooting critical technology solutions, with a strong emphasis on leveraging AI for trading platforms and modernizing existing systems. It requires hands-on experience with AI components, cloud services, and agile methodologies, and involves direct collaboration with business partners. | ServeAgent | 7 |
| Personalization - Product, Senior Associate Product role focused on leading the strategy and execution of ML-powered personalization and next-best-action capabilities, including agentic solutions, across various channels. The role involves translating research into roadmaps, collaborating with data science and ML engineering, running experiments, and operationalizing model lifecycle infrastructure within a regulated financial environment. | AgentShip | 7 |
| Applied AI/ML Lead Applied AI/ML Lead at JPMorgan Chase in Asset & Wealth Management, focusing on developing and productionizing end-to-end AI/ML solutions for business needs. Requires strong Python, ML techniques, and NLP experience, with a preference for LLM application and financial services background. | Agent | 7 |
| Applied AI/ML Manager of Software Engineering Manager of AI/ML Engineering for Business Banking, leading teams to apply advanced ML techniques to tasks like NLP, document screening, speech recognition, and recommendation systems, and managing day-to-day implementation and deployment of solutions into production. | ShipPost-train | 7 |
| Sr Director of Software Engineering Senior Director of Software Engineering to lead multiple technical areas and departments, driving the adoption and implementation of agentic AI-enabled engineering and SDLC/TLM automation within a financial services context. The role focuses on setting and scaling strategy, establishing governance, and ensuring responsible AI practices. | Agent | 7 |
| Fraud AI/ML Platform Product Director Product Director for a next-generation, real-time fraud intelligence platform using advanced ML and AI. The role involves defining product vision and roadmap, building capabilities for fraud detection (rings, coordinated attacks, multi-step schemes), driving innovation in feature engineering, graph-based risk detection, and sequence modeling. Key responsibilities include productizing graph intelligence, establishing model lifecycle standards, embedding governance, and partnering cross-functionally. Requires experience in ML-enabled products, adversarial domains, and technical fluency in applied ML and data systems. | AgentServe | 7 |
| Data Scientist [Multiple Positions Available] This role focuses on building and managing reports, dashboards, and analytical tools, migrating to cloud architectures, and leading the design, prototyping, and strategy for advanced modeling, predictive analytics, and generative AI solutions for Merchant Services. It involves orchestrating AI agent systems, developing BI products using generative AI and LLMs, prompt engineering, fine-tuning, and RAG, as well as designing statistical and dynamic pricing models. The role also includes product pricing strategy, profitability analysis, and modeling network fee impacts. | Agent | 7 |
| Legal GenAI Enablement - AI Practitioner - Senior Associate This role focuses on building and shipping Generative AI solutions, specifically no-code Assistants, Skills, and workflows, for the Legal department using the firm's LLM Suite platform. The practitioner will work closely with attorneys to understand workflows, design, prototype, and iterate on solutions, ensuring they are shepherded through governance into production. The role emphasizes practical application of the Generative AI stack, prompt engineering, and contributing to a reusable component library, rather than deep data science or full-stack engineering. | Agent | 7 |
| Senior Director of Software Engineering - Trust & Security Senior Director of Software Engineering to lead multiple technical areas and departments, focusing on identity, authentication, and customer access technology. The role involves driving the adoption and implementation of AI and automation for CIAM modernization, password-less adoption, and developer productivity. Key responsibilities include setting strategy for agentic AI-enabled engineering, defining agentic capabilities for CIAM use cases, and ensuring safety, guardrails, and auditability. Requires extensive experience in leading large teams, cloud-native technologies (AWS), IAM standards, and deep understanding of responsible AI risk and controls. | Agent | 7 |
| Data Scientist Lead - Payments Lead Data Scientist role focused on building GenAI applications, virtual assistants, and workflow automations using multi-agent AI patterns within the Payments domain. Responsibilities include translating business problems into AI solutions, designing prompts, and driving iterative development and production monitoring of agentic solutions. | Agent | 7 |
| Data Scientist [Multiple Positions Available] This role focuses on designing, developing, and deploying machine learning models for security platforms, specifically for enforcing least privilege access. It involves data processing, feature engineering, MLOps, production deployment, and ensuring compliance with security requirements within an AWS environment. | ServeData | 7 |
| Lead Software Engineer - AI Developer Lead Software Engineer for AI Developer role at JPMorgan Chase, focusing on building conversational AI applications using RAG architectures, AI orchestration frameworks, and prompt engineering. Requires strong programming skills in Java, Python, or Node.js, and experience with AWS services and CI/CD. | Agent | 7 |
| Lead Software Engineer - AI Developer Lead Software Engineer for AI Developer role at JPMorgan Chase, focusing on building conversational AI applications using RAG architectures and AI orchestration frameworks. Requires strong proficiency in Java, Python, or Node.js, AWS services, and prompt engineering. | Agent | 7 |
| Image Applied AI ML Director Executive Director to architect and operationalize the AI strategy for Image as a Service, focusing on improving engineering efficiency, standardizing solutions, and institutionalizing responsible AI practices. The role involves leading the development of an infrastructure digital twin and establishing a use case governance framework. | Agent | 7 |
| Lead Software Engineer - Python and AI/ML Lead Software Engineer to build an AI-Native SDLC Agent Fabric using multi-agent systems, LLM orchestration, and AI toolchains on AWS. The role involves designing and implementing LLM-driven agent services, developing orchestration layers, integrating AI agents with toolchains, and providing technical leadership. | Agent | 7 |
| Data Scientist Associate - Corporate & Investment Banking This role focuses on applying data science and generative AI to create client-focused innovations within JPMorgan Chase's Merchant Services. The Data Scientist Associate will execute analytics projects, build intelligent solutions using LLMs and agent-based patterns for payments insights and performance improvement, and prototype AI features. Responsibilities include developing data pipelines, designing and executing tests, monitoring performance, and collaborating with various stakeholders. | Agent | 7 |
| Vice President - Product Manager - Machine Learning & Intelligent Operations Product Manager for JPMorgan Chase's Machine Learning & Intelligent Operations (MLIO) team, focusing on transforming customer service and personalization using AI/ML. The role involves defining product strategy, leading cross-functional teams, and driving product value for millions of customers. | Ship | 7 |
| AI Product Director - Email Domain AI Product Director for Email Domain at JPMorgan Chase, focusing on building next-generation AI and autonomous agents for operations. The role involves defining AI product strategy, leading product managers and engineers, and driving critical initiatives using agentic AI and LLMs. | Agent | 7 |
| Risk Management - Quant Modeling Director - Executive Director Lead the validation and risk governance of marketing machine learning models used across Consumer and Community Banking (CCB) at JPMorgan Chase. This role involves evaluating model soundness, assessing assumptions, ensuring testing completeness, and designing experiments to quantify model risk and limitations. The position also requires managing a team, collaborating with various stakeholders including regulators, and staying current with advanced AI/ML techniques. | ShipPost-train | 7 |
| Lead Software Engineer - Databricks/PySpark/AI Lead Software Engineer responsible for building and optimizing data pipelines, retrieval systems, and tool integrations to power agentic AI systems. Focuses on data infrastructure, production code, and mentoring junior engineers. | Agent | 7 |
| Digital Product Manager (Client + Advisor Platforms, AI-enabled) - VP VP, Digital Product Manager to lead strategy and delivery of client- and advisor-facing digital platforms for the Private Bank, translating AI/ML capabilities into compliant, measurable outcomes. This role involves defining AI use cases, establishing success metrics for AI features, and leading the full product lifecycle from discovery to scaled delivery in a regulated financial services environment. | ShipAgent | 7 |
| Lead Software Engineer - Java, AI, AWS Lead Software Engineer role focused on designing, developing, and implementing AI and data engineering solutions, including Agentic AI systems, within a financial technology context. The role involves integrating AI models and autonomous agents into production systems using Java and AWS, with a strong emphasis on secure, stable, and scalable development. | AgentData | 7 |
| Operations Automation Associate This role is responsible for delivering analytics products and AI capabilities, focusing on GenAI and agentic AI patterns. The role involves translating business needs into requirements, building data foundations, designing and deploying LLM/agentic AI use cases with governance and human-in-the-loop controls, and establishing evaluation frameworks. It requires strong Python, data engineering, SQL, RAG, and MLOps skills, with a focus on responsible AI practices within a financial services domain. | AgentData | 7 |
| Product Manager - MLIO Knowledge Management Product Manager for an AI/ML team at JPMorgan Chase, focusing on knowledge management. The role involves defining and executing an AI/ML product roadmap to deliver knowledge content via APIs and services, leading cross-functional teams (analysts, data engineers, data scientists), and partnering with various departments. Requires experience in product management, knowledge management, AI/ML, and agile environments, with a preference for experience with GenAI, RAG, and AI Agents. | AgentData | 7 |
| Technical Principal Architect - Agentic AI & Messaging Technical Principal Architect role focused on Agentic AI and Messaging technologies within Prime Finance at JPMorgan Chase. The role involves defining architectural vision, designing scalable and secure solutions, and leading the integration of autonomous AI workflows. Requires deep expertise in Java, Python, messaging technologies (Kafka, AMPS), and both relational and NoSQL databases, with a strong understanding of cloud platforms and DevOps. | Agent | 7 |
| GenAI & Agentic Product Manager, Vice President Product Manager for an Agentic and Generative AI platform within a financial services company, focusing on delivering scalable AI products and collaborating with engineering, data science, and business teams. | Agent | 7 |
| Senior Product Associate Product Associate role at JPMorgan Chase focused on data transformation and innovation within Corporate & Investment Banking. The role involves supporting product strategy and delivery for data and AI-enabled capabilities, translating user needs into requirements, and partnering with business, technology, and data teams. Key responsibilities include designing and delivering AI-enabled product capabilities, including experience with multi-agentic workflows and AI orchestration patterns, and understanding financial data models. | Agent | 7 |
| Software Engineer II - UX Designer Software Engineer II - UX Designer role focused on integrating Generative AI into multi-modal interfaces (voice, text, touch) for web and mobile platforms. Requires hands-on engineering expertise in front-end development (React, Node.js) and collaboration with AI/ML engineers to build user-centric solutions. | Agent | 7 |
| Agentic AI Principal Software Engineer - Executive Director MarTech Lead Principal Software Engineer focused on Agentic AI and LLMs for MarTech within a financial institution. The role involves leading the design and development of AI-driven solutions to automate lead qualification and engagement, integrating these capabilities into existing platforms. Requires strong software engineering and ML engineering experience with a proven track record of shipping production systems. | Agent | 7 |
| Product GenAI Transformation & Development, Vice President This role focuses on transforming a product organization to be GenAI/Agent-first by developing and implementing AI-native workflows and internal tooling. The goal is to accelerate adoption, deliver productivity gains, and eliminate manual effort through practical solutions and automations. | Agent | 7 |
| Data Scientist [Multiple Positions Available] Data Scientist at JPMorgan Chase responsible for designing, building, and implementing end-to-end data products, including product recommendation models for core banking products. The role involves creating actionable insights, collaborating across teams, and deploying scalable AI/ML models in a large-scale enterprise environment. | Ship | 7 |
| Senior/Lead Machine Learning Scientist (Hands On)- International Consumer Bank Lead Machine Learning Scientist for JPMorgan Chase's International Consumer Bank in London. The role involves delivering end-to-end cloud-native ML solutions, mentoring junior colleagues, and collaborating with cross-functional teams to solve complex business problems using data insights. Focus on production-ready code, latest ML advancements, LLMs, and agentic systems. | ShipPost-train | 7 |
| Lead Software Engineer - Fullstack Lead Lead Software Engineer role focused on building full-stack features for an AI-powered advisory platform, including backend APIs, AI agent orchestration, and frontend UI. The role involves integrating LLMs with financial data and internal/third-party services. | Agent | 7 |
| Business Banking - Data Scientist [Multiple Positions Available] Data Scientist role at JPMorgan Chase focused on developing and deploying machine learning models for financial prediction, trend identification, risk analysis, and anomaly detection within business banking portfolios. The role involves data processing, wrangling, ETL, automation, and leveraging visualization tools. Requires experience with Python, scikit-learn, SQL, and various BI software. | Post-trainData | 7 |
| Quant Modeling Lead [Multiple Positions Available] Lead Quant Modeler responsible for independent testing, benchmark model development, and evaluating risk associated with advanced ML/DL models, particularly in fraud detection. This role involves guiding model developers, ensuring adherence to risk management and regulatory requirements, and overseeing the end-to-end model risk lifecycle. The position also includes mentoring junior team members and representing the team in regulatory reviews. | ShipEval Gate | 7 |
| Analytics Solution - Associate Associate Analytics Solution role at JPMorgan Chase in Bengaluru, focused on developing data visualizations, intelligence solutions, and strategic analytics. Leverages advanced analytics tools, Python, SQL, and AI/ML techniques, including LLM use cases, to drive decision-making, streamline processes, and support cloud migration. Collaborates with stakeholders and mentors junior team members. | Agent | 7 |
| Asset Management, Data Scientist, Vice President, London/Glasgow This role focuses on designing and implementing agentic AI workflows and LLM/NLP/ML solutions for asset management, with a strong emphasis on production deployment and scaling. It involves applying techniques like RAG, NER, and prompt engineering, and requires collaboration with business stakeholders and technologists. | AgentServe | 7 |
| Applied AI ML Lead Lead role in a Fintech company focused on designing and delivering innovative AI/ML models for financial analysis, regulatory requirements, and pricing decisions. Requires strong quantitative, programming (Python, PySpark), and machine learning skills, with experience in leading teams and communicating complex concepts. | Post-train | 7 |
| AI-ML Modeler Senior Associate Senior Associate AI-ML Modeler in the Finance Modeling team at JPMorgan Chase. The role involves designing and delivering innovative models for budgeting, financial analysis, regulatory requirements, and pricing decisions. Responsibilities include data anomaly identification, quantitative analysis, data cleaning, model building (statistical, econometric, ML), communicating results to stakeholders, and mentoring team members. Requires a graduate degree, 5+ years of model development experience, proficiency in Python/R/Scala, experience with specific financial models (budget, CCAR, PPNR), statistical/econometric techniques, machine learning theory, big data tools (Spark/Hadoop), and explainability for risk and compliance. Familiarity with Gen AI is preferred. | Post-train | 7 |
| Experience Design Senior Associate - AI-Enabled Journeys This role focuses on designing AI-enabled customer and employee experiences within the financial services industry. The Senior Associate will translate AI opportunities into intuitive journeys, shape experiments, and bring solutions to market, working closely with Product, Tech, and Data teams. Key responsibilities include designing flows, screens, and service blueprints for AI features, co-leading discovery and testing of AI interactions, and partnering across various teams to ensure compliance with policy, safety, and governance requirements for AI features. The role requires experience with AI integration, designing AI-enabled products, and understanding responsible AI principles within a complex, matrixed environment. | Agent | 7 |
| Executive Director - Data Governance Product Manager Product Director for Data Governance within the Chief Data & Analytics Office, focusing on developing AI-for-data solutions and next-generation data governance tooling. The role involves defining strategy, roadmapping, and overseeing the product lifecycle for AI initiatives in a regulated environment. | Agent | 7 |
| Principal Data Scientist-Payments-Executive Director Principal Data Scientist to lead AI strategy and development for agentic, AI-native treasury products in a fintech environment. Focus on scaling AI solutions from ideation to production, driving measurable business outcomes, and staying current with emerging AI techniques. | Agent | 7 |
| Applied AI/ML Senior Associate Senior Associate Applied AI/ML Scientist role focused on developing and deploying agentic systems using LLMs and other AI/ML technologies to improve payment processes, fraud detection, and customer experience within a financial services context. Responsibilities include data pipeline design, model implementation, and collaboration with cross-functional teams, while ensuring regulatory compliance. | Agent | 7 |