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 |
|---|---|---|
| Generative AI Director Lead the design and delivery of production-grade LLM systems for mission-critical financial products, focusing on scalable APIs, agentic workflows, and end-to-end ownership of LLM Suite products. This role bridges AI research with robust engineering for enterprise-wide AI adoption. | ShipAgent | 9 |
| Applied AI ML Lead - Payments Lead the end-to-end delivery of advanced machine learning and AI solutions for Payments and Banking Operations, focusing on production deployment, scalability, and integration within a regulated financial environment. The role involves developing innovative solutions including GenAI and agentic approaches, establishing MLOps practices, and providing technical leadership. | Ship |
| 8 |
| Connected Commerce and Cards - AI Modeling Lead Lead the design, training, and deployment of AI/ML models for Connected Commerce and Cards at JPMorgan Chase, focusing on customer financial needs and business impact. This role involves end-to-end ownership of model development, deployment, and production readiness, collaboration with stakeholders, and ensuring regulatory compliance. Requires strong Python skills, experience with ML/DL frameworks, and familiarity with modern AI tooling like LLMs and agentic frameworks. | Ship | 8 |
| Applied AI ML Engineer-Vice President This role focuses on designing, developing, and deploying AI and ML solutions, specifically generative AI applications, to enhance operational efficiency within the Corporate & Investment Bank. It involves working with ML models, MLOps, cloud platforms, and generative AI, with a strong emphasis on production deployment and scalability. | ShipAgent | 8 |
| Applied AI/ML Lead - Vice President - Payments Lead Applied AI/ML role focused on delivering end-to-end ML capabilities for payments, including fraud detection, operational automation, and client experience. Responsibilities include designing, building, and deploying production-grade ML systems, defining evaluation metrics, establishing model lifecycle standards, and partnering with risk/compliance teams. Requires strong hands-on expertise in neural networks, Transformers, fine-tuning, distillation, and software engineering skills in Python with PyTorch/TensorFlow. | ShipPost-train | 8 |
| Applied AIML -Executive Director Executive Director role focused on leading the design and delivery of large-scale recommendation, ranking, and personalization systems for a consumer banking division. The role involves applying ML, including LLMs, to improve customer experiences, leading a team, and ensuring systems are reliable, secure, and scalable. Core focus is on recommenders and personalization, with pragmatic use of GenAI to augment the stack. | ShipAgent | 8 |
| Applied AI ML - Senior Associate - Machine Learning Engineer JPMorgan Chase is seeking an Applied AI/ML Senior Associate Machine Learning Engineer to join their Commercial & Investment Bank team. The role involves combining AI techniques with financial data to optimize business decisions and automate processes. Responsibilities include building scalable data science capabilities, deploying ML services, researching datasets, communicating AI capabilities, documenting processes for regulatory compliance, and collaborating on production architectures. The position requires a Masters or PhD in a quantitative discipline, strong ML theory, NLP specialization, MLOps knowledge, PyTorch experience, and cloud provider familiarity. Experience with containerization and model monitoring is also expected. | ShipServe | 8 |
| Applied AI ML Lead - DocAI Lead Applied AI/ML Engineer at JPMorgan Chase in London, focused on building and deploying AI-powered products for the Commercial & Investment Bank. The role involves leveraging NLP and Computer Vision to optimize business decisions and automate processes, requiring a blend of research and software engineering skills, with a focus on productionizing ML models and services. | Ship | 8 |
| Applied AI & ML Lead – Markets Operations Lead a team of AI/ML scientists and engineers to design, develop, and deploy AI/ML solutions for market operations in a large financial institution. Focus on end-to-end delivery, production deployment, MLOps, and stakeholder engagement. | ShipAgent | 8 |
| Applied AI ML-Vice President Vice President role focused on building, deploying, and governing production AI/ML models, including LLMs and generative AI systems, within a large financial institution. The role emphasizes model governance, monitoring, and leveraging generative AI for productivity and efficiency, with a strong focus on regulatory compliance and cross-functional leadership. | ShipAgent | 8 |
| Generative AI - Senior Associate This role focuses on designing, building, and supporting production generative AI products and reusable backend APIs within a large enterprise. It involves combining enterprise data with LLMs and multimodal models to deliver scalable, measurable solutions, collaborating with ML, cloud, and SRE teams, and ensuring reliability, performance, and operational controls. The role emphasizes hands-on engineering, real-world constraints, and high-impact delivery. | ShipServe | 8 |
| Applied AI ML Lead -Digital Lead Applied AI ML role in Fintech, focusing on developing and productionizing ML models and scalable data pipelines for personalized financial services. Requires strong CS background, end-to-end project ownership, and collaboration with cross-functional teams. Emphasis on research, algorithm implementation, experimentation, and ensuring regulatory compliance. | Ship | 8 |
| Applied AIML & Gen AI Executive Director - Machine Learning Center of Excellence JPMorgan Chase's Chief Data & Analytics Office is seeking an Executive Director to lead Machine Learning initiatives. This role involves applying advanced ML techniques (NLP, speech, time series, RL, recommendations) to real-world problems, collaborating with cross-functional teams to deploy solutions, and developing large-scale frameworks for ML model application across the business. The position requires a strong background in ML/DL, experimental design, and communication skills, with a focus on production deployment within a regulated financial environment. | Ship | 8 |
| Applied AI ML Director Machine Learning Center of Excellence Director role focused on applying sophisticated machine learning methods (NLP, speech, time series, RL, recommendation systems) to real-world problems within a financial services context. The role involves research, model development, collaboration with business and technology partners, and deploying solutions into production. Emphasis on deep learning expertise, analytical thinking, and driving firm-wide ML initiatives. | ShipPost-train | 8 |
| 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 |
| 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 |
| 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 |
| 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 contributing to the full modeling lifecycle, from defining objectives to developing and communicating results using advanced analytics on large-scale consumer data. Requires an advanced degree in a quantitative field and experience in developing machine learning, optimization, or statistical models. | Ship | 7 |
| Chase Modeling - Applied AI Modeling Lead - Vice President Lead the development and deployment of AI/ML models for financial services, focusing on retail, credit card, home, auto lending, and wealth management. This role involves end-to-end project leadership, stakeholder management, and ensuring regulatory compliance. | Ship | 7 |
| Data Scientist Executive Director – Card Data & Analytics, Customer & Strategic Analytics Executive Director Data Scientist at JPMorgan Chase leading a team focused on AI, machine learning, and advanced analytics for the Card business. The role involves defining AI strategy, delivering AI/ML solutions from ideation to production, supporting customer experience, driving experimentation, and leading a team of analytics professionals. Requires strong leadership, technical depth, and business acumen, with a focus on driving measurable business impact and competitive advantage. | ShipAgent | 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 |
| Applied Artificial Intelligence & Machine Learning- Markets Operations - Vice President Lead the design and delivery of AI/ML solutions for Market Operations at JPMorgan Chase. This role involves managing a team, partnering with business and technology stakeholders, and ensuring the successful implementation and scaling of AI-driven tools. The focus is on developing and deploying production-grade AI/ML applications, establishing best practices for evaluation and monitoring, and driving measurable impact. | ShipAgent | 7 |
| Applied AI/ML Modeling - Vice President Develop and launch AI/ML models for consumer banking, focusing on retail network optimization, investment, and workforce effectiveness using geospatial AI, graph-based models, and reinforcement learning. This VP-level role requires end-to-end project leadership, stakeholder management, and translating technical outputs for business partners, while ensuring regulatory compliance. | Ship | 7 |
| Quantitative Trading & Research – Global Clearing – Vice President Quantitative Researcher (VP) at JPMorgan Chase focusing on Derivatives Modelling, Financial Engineering, and Data Science to enhance risk and pricing analytics for the Clearing business. The role involves leading the design, delivery, and governance of models, including Initial Margin methodology, and applying machine learning to transform risk management and automation. Responsibilities include end-to-end initiative leadership, model ownership, building and productionizing analytics, and leading ML/AI solution development. | ShipData | 7 |
| Applied Artificial Intelligence & Machine Learning Engineer - Vice President This role is for an Applied AI/ML Engineer (VP level) at JPMorgan Chase, focusing on developing and delivering AI solutions for Commercial & Investment Banking Payments. The engineer will collaborate with cross-functional teams to boost operational efficiency and drive business innovation using AI/ML technologies, managing the code lifecycle from development to production. | Ship | 7 |
| Applied Artificial Intelligence & Machine Learning Engineer - Associate Applied AIML Engineer at JPMorgan Chase, focused on developing and delivering AI-driven payments solutions for Commercial & Investment Banking. The role involves coding, cross-functional collaboration, and end-to-end code lifecycle management, with a minimum of 2 years of AIML project delivery experience. | Ship | 7 |
| Applied AI ML Associate - Payments Operations Associate role focused on developing, deploying, and monitoring machine learning applications and models within the Payments Operations team at JPMorgan Chase. The role involves identifying automation opportunities, processing multimodal data, building ML models, and ensuring their productionization and evaluation, with a strong emphasis on translating business needs into technical solutions and managing projects from inception to production. | Ship | 7 |