JPMorgan Chase
Banking · Banking
- HQ
- New York City, US
- Founded
- 2000
- Size
- 270,000+
- Website
- jpmorganchase.com
Currently tracking 269 active AI roles, with 1150 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$285k (avg $215k).
JPMorgan Chase currently has 452 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 (303 roles), United Kingdom (60 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 275 new AI-related roles.
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.
Banking · Banking
| Title | Stage | AI score |
|---|---|---|
| Risk Management - Firmwide Reputation Risk - Vice President This role focuses on developing and deploying AI/GenAI solutions within a financial services risk management context, specifically for reputation risk. The VP will help set the AI strategy, build and scale AI products, and integrate AI trends into risk management workflows, with experience in language models, prompt engineering, and fine-tuning being crucial. | Agent | 7 |
| Director of Software Engineering Director of Software Engineering at JPMorgan Chase, leading technical areas and promoting impact across teams. Focuses on identifying and evaluating AI-powered capabilities, driving technical vision, and overseeing the delivery of solutions. Responsible for setting direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, including establishing guardrails and applying AI tools in software development. Manages technology teams and influences stakeholders. | Agent |
| 7 |
| Director of Software Engineering Director of Software Engineering at JPMorgan Chase to lead a technical area and drive impact within teams, technologies, and projects. The role involves setting direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, applying knowledge of AI-assisted development tools, and leading the adoption of agentic AI-enabled engineering practices. Requires strong understanding of responsible AI use and control expectations in engineering workflows. | Agent | 7 |
| Cyber Intelligence Senior Associate, Threat Intelligence This role focuses on engineering AI-powered threat research systems and applying frontier AI capabilities to discover and analyze cyber threats, accelerating threat research and risk assessment within an enterprise environment. It involves data acumen, automation, and validation of AI outputs. | DataAgent | 7 |
| Senior Product Associate Product Associate role focused on defining, building, and scaling AI-powered coaching agents and solutions for employee performance support within a large enterprise. The role involves owning the product lifecycle, collaborating with stakeholders, and ensuring adherence to governance and ethical standards. | Agent | 7 |
| Lead Software Engineer - Fullstack Java/AWS/AI/ML Lead Software Engineer role focused on full-stack development (Java/Python/JS) with a strong emphasis on integrating and deploying AI/ML models, including edge deployment. The role involves building, training, fine-tuning, and optimizing models, managing their lifecycle, and deploying them on AWS infrastructure. It also requires driving team adoption of AI-assisted engineering practices and ensuring responsible AI use within development workflows. | ServePost-train | 7 |
| Product Manager - Vice President Product Manager (VP) at JPMorgan Chase, focused on Business Banking. The role involves defining product strategy and vision, leading discovery for AI opportunities, managing the product backlog, tracking key metrics, and ensuring compliance. Requires hands-on experience with deploying Data Science and ML capabilities in production, with preferred knowledge of LLM architectures, fine-tuning, RAG, and agentic frameworks, as well as experience with evaluations. | ShipAgent | 7 |
| Data Scientist Director Director-level role focused on building and scaling a Center of Excellence for delivering AI/ML solutions at enterprise scale within a financial services context. The role emphasizes end-to-end productization, governance, and adoption of AI/ML capabilities, with a focus on measurable business outcomes and responsible AI practices. | Ship | 7 |
| Senior Lead Software Engineer – Agentic SDLC & AI Engineer This role focuses on leading the adoption and implementation of an Agentic Software Development Lifecycle (ADLC) within JPMorgan Chase. The Senior Lead Software Engineer will champion agent-first development, leverage LLM agent frameworks and coding assistants, and provide technical enablement to engineering teams. Responsibilities include analyzing usage data, driving testing and resiliency, collaborating cross-functionally, and ensuring solutions meet security and compliance standards. | Agent | 7 |
| Applied AI ML [Multiple Positions Available] This role involves applying statistical and machine learning methodologies, including causal inference, to solve business problems within a fintech domain. The individual will perform quantitative analysis, build and deploy prototype solutions, and mentor junior team members. A PhD or Master's degree with relevant experience is required, along with expertise in various analytical methods and programming languages like R. | Post-train | 7 |
| Senior Product Transformation & Agentic AI Lead Lead agentic AI adoption and transformation within product teams at JPMorgan Chase, focusing on integrating AI into workflows for discovery, planning, delivery, and continuous improvement. The role involves coaching, prototyping, translating technical concepts, and guiding teams through operational shifts to scale AI responsibly, while establishing feedback loops for measuring outcomes and partnering with leadership to shape the future-state product operating model. | Agent | 7 |
| Data Scientist Associate Develops and integrates generative AI use cases, focusing on agentic workflows and AI agents within the Cards Data & Analytics team at JPMorgan Chase. Builds data pipelines, prototypes AI features, and monitors AI model performance. | AgentServe | 7 |
| 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 |