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 1181 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 |
|---|---|---|
| Lead Software Engineer - DevOps / Full-Stack / MLOps Lead Software Engineer focused on building and maintaining a scalable ML platform for model training, deployment, and monitoring within a cloud-native DevOps environment. The role involves coding infrastructure with Terraform, Python automation, Kubernetes, CI/CD pipelines, and applying agentic AI/LLM capabilities to DevSecOps use cases. | ServeData | 7 |
| Vice President, Chase Travel AI & Innovation Product Vice President of Product for Chase Travel AI & Innovation, focusing on integrating AI/ML and Generative AI into travel products to enhance customer experience and streamline operations. Requires strong product management, AI/ML knowledge, and Agile expertise within a financial services context. | Ship |
| 7 |
| WFP Senior Data Scientist Senior Data Scientist at JPMorgan Chase focused on building AI/ML solutions for workforce planning, including demand forecasting, capacity optimization, and scheduling. The role involves framing ambiguous problems, selecting appropriate modeling approaches, and productionizing solutions for real-time inference and decision-making within large-scale operations. | Serve | 7 |
| Software Engineer [Multiple Positions Available] Software Engineer role at JPMorgan Chase focused on designing, developing, and deploying enterprise-scale financial applications and data-driven platforms. This role involves leading a team, making architectural decisions for distributed, cloud-native systems, and driving the adoption of data engineering and orchestration tools. A key aspect is overseeing the integration of machine learning solutions, including model development, training, optimization, and deployment using TensorFlow and PyTorch, and implementing MLOps frameworks for lifecycle management. The role also includes implementing service mesh technologies, search and indexing, and managing Agile SDLC, CI/CD, and regulatory compliance. | ServePost-train | 7 |
| Lead Software Engineer: Customer Trust Assessment Platform Lead Software Engineer role focused on building a NextGen orchestration platform using AI capabilities, specifically AI Agents, RAG pipelines, and LLM APIs, within the Fraud Technology team at JPMorgan Chase. | Agent | 7 |
| Personalization Product Manager - Vice President Product Manager (VP level) for JPMorgan Chase's Personalization & Customer Insights Team, focusing on ML-powered personalization and next-best-action capabilities. The role involves driving strategy and execution for LLM/ML models, agentic solutions, and supporting MDLC infrastructure across various channels. Requires experience in product management, AI-powered product delivery, data products for agentic assistants, and ML-driven personalization. | Agent | 7 |
| Senior Director of Software Engineering (Data & AI) Senior Director of Software Engineering leading the adoption and scaling of agentic AI-enabled engineering and SDLC/TLM automation within a large enterprise, focusing on responsible AI standards, governance, and operational efficiency. | Agent | 7 |
| Data Scientist [Multiple Positions Available] Data Scientist at JPMorgan Chase responsible for building, implementing, testing, and analyzing ML/AI products and solutions. The role involves leveraging statistical and mathematical techniques, including AI/ML and optimization, to solve business problems, designing controlled experiments, and translating business needs into data models. The position requires experience with SQL, pandas, data visualization libraries, and implementing traditional machine learning algorithms for predictive analytics. | Ship | 7 |
| Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President Quantitative trading firm seeks a VP to research, develop, and deploy mid-frequency systematic trading strategies. Role involves applying statistical modeling and machine learning to financial markets, with a focus on alpha generation, portfolio construction, risk management, and execution. Requires end-to-end ownership from ideation to live trading and performance monitoring. | Post-trainServe | 7 |
| Vice President, AI for Product - Open Banking This role is for a Vice President of AI for Product within JPMorgan Chase's Open Banking team. The primary focus is to evangelize, strategize, and drive the adoption of AI, particularly generative AI and agentic AI, to enhance work efficiency, accelerate product innovation, and deliver measurable results. The role involves building an AI knowledge lab, training the team, measuring AI usage, and staying updated on AI trends to identify opportunities for the product team. While not directly building AI models, the role is centered around the strategic implementation and adoption of AI tools and agentic systems within the product development lifecycle. | Agent | 7 |
| Lead Software Engineer - Java/Python/AIML Lead Software Engineer responsible for designing, developing, and deploying enterprise applications and AI/ML-enabled features using Java, Spring Boot, and Python. The role involves full lifecycle development of AI/ML solutions, including integration, orchestration, and evaluation, with a focus on production readiness and scalability within a regulated environment. | Agent | 7 |
| Product Manager, Model Serving – AI/ML Solutions Team Product Manager for an enterprise AI/ML model serving platform, focusing on deployment, inference infrastructure, and lifecycle management. The role involves strategy, roadmap development, backlog management, and collaboration with ML engineers and data scientists to deliver scalable and resilient platform capabilities. | Serve | 7 |
| Operations Automation [Multiple Positions Available] This role focuses on developing and deploying AI/ML models to automate complex processes, improve decision-making, and provide predictive insights within an enterprise setting. It involves analyzing large datasets, creating dashboards, and ensuring compliance with regulations, particularly in tax operations. The role also includes leveraging NLP for document data extraction and modeling business decision logic. | Agent | 7 |
| AI/LLM Sr Manager of Software Engineering - Java and Python This role is for a Senior Manager of Software Engineering focused on AI/LLM capabilities within the Consumer and Community Banking Core Platform Engineering team. The manager will provide technical coaching and advisory for multiple software engineering teams building AI-enabled capabilities, evolving towards agentic and workflow-based solutions. Responsibilities include leading design and implementation, establishing AI development strategies (LLM integration, evaluation, prompt management, orchestration, safe deployment), managing priorities, driving cloud-native practices on AWS, and promoting strong engineering fundamentals. The role requires experience leading technologists, hands-on experience with Java/Python, and working knowledge of AI/LLM development, including AI coding assistants and enterprise guardrails. | Agent | 7 |
| Sr Lead Software Engineer: Customer Trust Assessment Platform Senior Lead Software Engineer role focused on building a NextGen orchestration platform using advanced AI capabilities, specifically AI agents and RAG pipelines, within the Fraud Technology team at JPMorgan Chase. The role involves technical leadership, secure code development, and leveraging Java & AWS. | Agent | 7 |
| Product Manager Data and AI Product Manager for Data and AI at JPMorgan Chase, focusing on Knowledge Management and enabling RAG and agentic workflows. Responsible for driving product vision, strategy, and the end-to-end product management lifecycle for AI use cases within the Chief Data & Analytics Office. | Agent | 7 |
| Strategic Analytics - Associate This role focuses on developing and implementing data-driven strategies and machine learning models to prevent digital fraud in fintech. The associate will analyze large datasets, identify trends, reduce losses, and enhance customer experience by collaborating with cross-functional teams and presenting insights to senior leadership. | Agent | 7 |
| Product Owner - Knowledge Management Product Owner for an AI-powered Knowledge Management system, focusing on improving self-service, reducing contact volumes, and boosting agent productivity through search, conversational experiences, and intelligent content. The role involves defining strategy, prioritizing roadmaps, leading cross-functional teams, and ensuring AI readiness of knowledgebases. Key responsibilities include driving agentic AI use cases, managing enterprise knowledge governance, and partnering with legal, risk, and operations for safe scaling. | AgentData | 7 |
| Lead Software Engineer - AI/ML Lead Software Engineer focused on building and scaling machine learning platforms and infrastructure at JPMorgan Chase. Responsibilities include designing, developing, and optimizing tools for the end-to-end ML lifecycle, integrating various ML capabilities, and ensuring platform reliability and security. Requires strong software engineering background, experience with ML platforms and MLOps, and Python proficiency. | Serve | 7 |
| Product Manager, AI Platform Product Manager for an AI Platform at JPMorgan Chase, focusing on building and scaling a production entity data platform. The role involves owning the end-to-end product lifecycle for resolving millions of organizational records into a single, trusted global universe of entities and producing an arbitrated 'golden profile'. Responsibilities include developing product strategy, managing the product backlog, defining requirements for entity resolution and attribute arbitration, and leading delivery of entity resolution at scale using a balance of deterministic rules and ML-assisted matching. The role also involves introducing AI- and agent-assisted processing patterns and partnering with engineering, applied ML, and other stakeholders. | AgentData | 7 |
| Lead Software Engineer - SAP – BTP AI Developer Lead Software Engineer focused on developing and deploying AI-powered solutions within the SAP Business Technology Platform (BTP) ecosystem. The role involves identifying AI use cases, building agentic AI capabilities, implementing solutions like RAG and intelligent document processing, and defining AI adoption frameworks, with a strong emphasis on SAP BTP services and MLOps practices. | AgentData | 7 |
| Senior AI Product Manager Product Manager for AI and autonomous agents team focused on automating operations and workflows within Corporate and Investment Bank. Role involves setting strategy, leading researchers and engineers, and managing the product lifecycle for agentic AI pipelines. | Agent | 7 |
| Senior Product Associate -Trust & Security Authentication Platforms and Modeling Product Associate role focused on developing and deploying AI/ML models for authentication and identity verification within a financial institution. The role involves understanding user journeys, identifying opportunities for AI/ML solutions, and translating business requirements into technical solutions using advanced modeling techniques like transformers and graph neural networks. Collaboration with data scientists and engineers is key, as is ensuring model performance, scalability, and compliance. | Agent | 7 |
| Lead Software Engineer, Cloud Platforms Lead Software Engineer focused on building cloud platforms that integrate AI agents and LLM-powered tools to enhance developer productivity and automate platform operations. The role involves designing and developing secure, scalable cloud infrastructure, driving DevEx, and implementing AI/ML integrations. | AgentServe | 7 |
| Sr Lead Software Engineer - AI/ML Senior Lead Software Engineer focused on building, scaling, and maintaining robust machine learning platforms and infrastructure. The role involves designing and optimizing tools for the end-to-end ML lifecycle, including data engineering, feature management, model training, deployment, monitoring, and serving. Emphasis on secure, high-quality production code, MLOps practices, and collaboration with data scientists and ML engineers to accelerate ML development and operations within an enterprise environment. | ServeData | 7 |
| Lead Software Engineer - Python, AI/ML Lead Software Engineer role focused on integrating AI/ML techniques, including LLMs, Generative AI, NLP, RAG, and AI evals, into software systems. Requires experience with agentic workflows and frameworks, and managing/mentoring AI/ML teams. The role emphasizes hands-on delivery of production-grade solutions within a fintech domain. | Agent | 7 |
| Quantitative Modeling Lead [Multiple Positions Available] This role focuses on evaluating and validating machine learning models, particularly in the context of fraud detection within a financial institution. It involves conducting independent tests, assessing risks, ensuring compliance with regulatory requirements, and mentoring junior team members. The core responsibility is to act as a quality gate for AI/ML models before they are deployed or used internally. | Eval GatePost-train | 7 |
| Lead Software Engineer- LLM- CIB Finance Technology Lead Software Engineer, Vice President, to build a new AI-powered, promoter-based forecasting and planning platform for CIB Finance. The role involves hands-on engineering, architecture, and decision-making to deliver secure, resilient, and scalable software solutions. Responsibilities include designing and implementing LLM- and agent-based capabilities, building data/compute workflows on AWS and Databricks, and developing user-facing experiences with JavaScript/TypeScript and React. Requires strong experience in software engineering, cloud-native solutions on AWS, LLMs and agentic systems, Databricks, and modern web applications. | Agent | 7 |
| AI Sr. Principal Cybersecurity Architect Senior Principal Cybersecurity Architect at JPMorgan Chase focusing on developing AI-enabled cybersecurity solutions, products, and models for the Consumer & Community Banking (CCB) line of business. The role involves advising on strategy, translating technical issues, driving adoption of new methods, creating reusable frameworks, and developing architectures for agentic systems, with a strong emphasis on cloud-native security, A2A security, and evaluating emerging technologies. | Agent | 7 |
| Business Intelligence Data Scientist – Sr. Associate - JPMorgan Private Bank This role focuses on building and deploying predictive models and AI-enabled solutions, including LLMs, to drive business strategy and improve sales productivity within the JPMorgan Private Bank. The role involves end-to-end model lifecycle management, from data analysis and prototyping to production deployment and integration with business processes. | Agent | 7 |
| AI, Data foundation & Business Process Solution Lead Lead the implementation of AI agents for campaign automation and optimization, and build foundational AI-ready data systems for marketing transformation in a financial services context. | Agent | 7 |
| Compliance - CCOR Risk Management Director - Executive Director This role provides second-line-of-defense (2LoD) independent oversight for JPMorgan Chase's Chief Data & Analytics Office (CDAO) Product and Platform organization, focusing on Data/AI platforms, model ingestion, agentic systems, and external AI services. The Director will develop and execute review strategies across the AI technical supply chain, ensuring compliance with risk appetite and regulatory expectations. Responsibilities include assessing risks in data flows, integrations, access controls, logging/traceability, and data residency, challenging remediation efforts, and overseeing governance for GenAI and agentic systems. | AgentServe | 7 |
| Product Director, AI Transformation-Payments-Executive Director Product Director to lead AI Transformation in Payments, focusing on designing the future-state operating model, scaling AI capabilities, identifying client pain points, and driving adoption of AI-enabled workflows. This role requires strong change management, stakeholder alignment, and a practical understanding of GenAI/LLMs and the AI delivery lifecycle within a large enterprise and regulated environment. | ShipAgent | 7 |
| Software Engineer III - Python Backend, AI/ML Platforms on AWS Software Engineer III role focused on building AI agentic platforms and model serving infrastructure on AWS, integrating LLM APIs, and developing backend services using Python. The role involves working with various AWS services, implementing message queuing, and contributing to deployment pipelines. | AgentServe | 7 |
| Applied AI ML Engineer Associate Applied AI ML Engineer Associate at JPMorgan Chase within the Consumer & Community Banking Machine Learning team. The role focuses on applying LLM-based methods, building and scaling software/ML platforms, and developing AI agents with tool integration and RAG solutions. Responsibilities include driving innovation, architecting ML models, ensuring scalability, and promoting quality and security in production environments. | Agent | 7 |
| Branch Channel Analytics Team - Machine Learning Lead Lead the development and deployment of machine learning solutions for a branch channel analytics team, focusing on a multi-action prioritization framework to optimize banker outreach. This role involves designing, developing, and deploying ML models, serving as a subject matter expert in ranking/recommendation systems and multi-objective optimization, and owning the full code development lifecycle. | ShipAgent | 7 |
| Product Director – AI for Documents Product Director leading the strategy, roadmap, and execution of AI-powered document solutions, leveraging technologies like OpenAI and AWS Bedrock, and focusing on agentic implementations. The role involves overseeing the product life cycle, managing stakeholders, and driving measurable business results within JPMorgan Chase's Consumer & Community Banking Operations Product organization. | Agent | 7 |
| AI Platform Engineer, Python - Principal Software Engineer As a Principal Software Engineer at JPMorgan Chase, you will provide expertise and engineering excellence to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will execute creative software solutions, design, development, and technical troubleshooting for AI-enabled applications, create complex and scalable coding frameworks, and develop secure and high-quality production code. You will also advise cross-functional teams, serve as a subject matter expert, and contribute to the development of technical methods. The role requires formal training or certification on software engineering concepts, 7+ years of applied experience, DevOps experience, advanced Python skills, practical cloud-native experience, and experience in Computer Science or a related technical field. Experience with building AI platforms is highly preferred. | Serve | 7 |
| Applied AI ML-Vice President JPMorgan Chase is seeking an Applied AI ML-Vice President to join their Consumer & Community Banking Machine Learning team. This role focuses on applying LLM-based methods to enhance, build, and deliver trusted market-leading technology products. Responsibilities include applying technical judgment, evaluating performance, ensuring solutions are reliable, secure, and scalable, improving data quality, monitoring models in production, and iterating to reduce agent effort and improve operational workflows. The role requires experience in building and scaling software/ML platforms, ML frameworks, ML Ops, AI Agents, tool integration, and RAG-based solutions. | Agent | 7 |
| Product Director - AI Orchestration Product Director role focused on AI Orchestration within JPMorgan Chase's Marketing Product Portfolio. The role involves leading the strategy, requirements, and execution for transforming traditional business processes into agentic AI solutions, orchestrating end-to-end workflows. Responsibilities include driving use case definition, product roadmaps, collaborating with ML/AI teams, and influencing the AI technology stack. | Agent | 7 |
| Intraday Liquidity Management, Senior Associate This role focuses on developing and managing intraday liquidity analytics using AI/ML tools to forecast cash positions and manage limits within JPMorgan Chase's Corporate Treasury. The primary responsibility involves utilizing Python and ML to publish daily forecasts, derive insights from payments data, and maintain a back-testing framework for forecast accuracy. Experience with ML or time-series forecasting in financial workflows is required. | Data | 7 |
| Applied AI ML Lead - Sales Science Lead Applied AI/ML role focused on building and productionizing LLM-based solutions for sales engagement optimization within a financial services context. Requires strong Python, NLP, and deep learning framework expertise, with experience in cloud deployment. | Agent | 7 |
| Credit Portfolio Group – Quantitative Research - Associate Seeking a Quantitative Research Associate to design, build, and deploy AI, LLM, and generative AI agent-based tools for credit portfolio management and trading. The role involves exploring ML techniques for market-making and optimization, leveraging data for opportunities, and automating reporting and hedging strategies. Requires advanced degree, 4+ years of quant experience in fixed income/credit, hands-on AI/ML/LLM application experience in financial markets, Python skills, and strong analytical abilities. | Agent | 7 |
| Executive Director-Firmwide AI Data Strategy Executive Director to shape the enterprise AI data strategy, focusing on knowledge representation, ontologies, and data foundations for AI applications at scale within a financial services organization. | Data | 7 |
| Chase Modeling - Applied AI ML Senior Associate Senior Associate role focused on applied AI and quantitative modeling within the Consumer Business Modeling team at JPMorgan Chase. The role involves leveraging large consumer datasets to solve complex business problems using the full modeling lifecycle, from defining objectives to communicating results. Requires advanced degree in a quantitative field and experience in developing ML, optimization, or statistical models. | Ship | 7 |
| Chase Modeling - Applied AI Modeling Lead (VP) Lead the development and deployment of AI/ML models for financial services, focusing on customer needs in areas like credit card, home lending, and wealth management. This role involves end-to-end project leadership, stakeholder management, and ensuring regulatory compliance. | Ship | 7 |
| Data Scientist - Vice President Lead Data Scientist at JPMorgan Chase within Cybersecurity and Technology Controls, responsible for developing and deploying Machine Learning solutions for security use cases like fraud and threat detection. The role involves data analysis, model development, feature engineering, model governance, and producing secure production code, with a focus on Generative AI, transformer architectures, and responsible AI practices. | AgentPost-train | 7 |
| AI & Analytics Web Solutions Developer Develops and deploys AI/ML models and generative AI solutions within web platforms and reporting tools for a financial services company, focusing on improving data delivery and user experience. The role involves mentoring other developers and integrating AI into existing analytics platforms. | ShipPost-train | 7 |
| Software Engineer III - Agentic AI, Java/Python Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, responsible for delivering AI/ML projects through the ML development life cycle using Agile methodology. The role involves transforming business requirements into AI/ML specifications, designing and developing production AI/ML solutions, and creating secure, high-quality production code. Familiarity with agentic workflows and expertise in areas like LLMs, NLP, Knowledge Graph, Computer Vision, Speech Recognition, RL, Ranking/Recommendation, or Time Series Analysis is required. | Agent | 7 |
| Lead Software Engineer - Agentic AI, Java/Python Lead Software Engineer role focused on integrating AI/ML techniques, including LLMs and Generative AI, into production software systems within a financial services context. The role involves leading a team, architecting solutions, and developing secure, scalable AI-driven software. | Agent | 7 |