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 Executive Director Executive Director role focused on architecting and delivering production LLM-based systems and agentic workflows for financial tasks at JP Morgan Chase. This role emphasizes shipping AI products at enterprise scale with measurable ROI, bridging research with robust engineering. | ShipAgent | 9 |
| 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. | ShipAgent | 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 [Multiple Positions Available] Builds and trains production-grade ML models and end-to-end pipelines for various business use cases in Global Banking, leveraging large-scale datasets, deep learning, and generative AI techniques. Deploys models in production environments using cloud technologies and MLOps practices. | ShipData | 8 |
| Applied ML and Generative AI Lead - Vice President Hands-on engineering leader responsible for designing, building, and running production-grade ML and Generative AI services at JPMorgan Chase. The role involves setting technical direction, establishing engineering standards, and ensuring solutions meet enterprise expectations for security, stability, and operational rigor. Key responsibilities include deploying ML/LLM/GenAI solutions, mentoring junior engineers, building MLOps capabilities, fine-tuning generative models, evaluating models, and implementing monitoring mechanisms. Requires strong programming skills in Python, experience with ML frameworks, cloud platforms, and containerization, along with a solid understanding of ML fundamentals and generative model architectures. | ShipPost-train | 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 |
| Executive Director - Data Scientist Executive Director Data Scientist role focused on leading the strategy, delivery, and adoption of applied AI/ML solutions within JPMorgan Chase's Asset and Wealth Management team. The role involves hands-on ML engineering, MLOps, GenAI/LLMs, and team leadership to drive measurable business outcomes in financial services. | 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 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 fintech environment. This role involves developing innovative solutions including GenAI and agentic approaches, establishing MLOps practices, and providing technical leadership. | ShipAgent | 8 |
| Data Scientist Lead Lead a team of data scientists in building and deploying advanced AI solutions for image classification, text categorization, and intelligent data extraction from scanned documents within the healthcare provider team at JPMorgan Chase. The role involves managing the full ML lifecycle, from prototyping to production deployment on AWS EKS, with a focus on multimodal document understanding. | 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 |
| Business Modeling - Applied AI Modeling Executive Director Executive Director role focused on architecting and leading the development of next-generation AI/ML solutions for credit card and banking business decisions, managing the full AI/ML lifecycle from design to production deployment, and leading a team of AI/ML scientists and engineers. Emphasizes deep learning, advanced modeling, MLOps, and cloud-native deployment within a regulated financial services environment. | ShipAgent | 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 - Lead Lead Generative AI Engineering role focused on designing, delivering, and improving production generative AI products and reusable backend APIs for firmwide adoption. This hands-on leadership position involves architecting scalable systems, setting technical direction for model-enabled services, ensuring reliability and responsible AI controls, and mentoring engineers. The role operates in production environments, emphasizing building at scale and driving execution against measurable outcomes. | ShipServe | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Product Director Speech and Voice AI/ML Product Director for Speech and Voice AI/ML at JPMorgan Chase, focusing on customer-centric development and shaping the future of voice-enabled Applied AI in banking. This role involves strategic product thinking, stakeholder management, and driving adoption of AI-native ways of working. | Ship | 7 |
| Quantitative Trading & Research - Markets Capital - Vice President This Vice President role in JPMorgan Chase's Quantitative Trading & Research (QTR) team focuses on delivering AI and data-driven solutions for risk management, P&L prediction, and capital allocation within financial markets. The role involves leading the design and implementation of advanced models and tools, automating processes using AI, and collaborating with traders, marketers, risk managers, and technology partners to drive business outcomes and enhance management practices. | Ship | 7 |
| Senior Product Associate-AI Capabilities Product Associate role supporting the Product Manager in bringing AI capabilities to production within JPMorgan Chase's Global Security division. Responsibilities include user research, defining requirements, ensuring responsible AI guardrails, coordinating with tech teams, and building AI literacy across the organization. Requires experience in product management, applied AI products, and Agile methodologies, with a focus on a regulated environment. | ShipEval Gate | 7 |
| Applied AI ML Associate Senior Lead a team of software engineers and applied AI/ML practitioners to integrate AI/ML techniques like LLMs and Generative AI into production software systems for the Commercial and Investment Bank. Responsibilities include technical vision, roadmap execution, system design, development, and productionizing AI/ML solutions, with a focus on Java or Python. | Ship | 7 |
| Analytics Solution Director - AI Solutions Enablement, Product & Innovation This role is responsible for delivering AI as a product, enabling adoption at scale, and acting as the connective tissue between firmwide AI innovation and business execution. The Executive Director will own the AI solutions portfolio for CAO, translate advanced AI capabilities into clear business value, and ensure that AI solutions built across the firm are discoverable, reusable, and impactful. This leader will partner closely with Corporate Functions, Lines of Business, central AI teams, technology, risk, and innovation groups to accelerate responsible AI adoption. | Ship | 7 |
| Applied AI ML [Multiple Positions Available] Develop and deploy machine learning models for the card business at JPMorgan Chase, focusing on the customer lifecycle. This role involves utilizing cutting-edge ML and deep learning techniques on big data platforms, collaborating across various teams throughout the modeling lifecycle, and presenting results to senior leadership. Requires experience with Python, C#, various ML techniques, deep learning (LSTM, BERT), and financial model governance. | ShipPost-train | 7 |
| Applied AI /ML Applied AI/ML Lead role within the Payments Technology team at JPMorgan Chase, focusing on integrating machine learning into key financial products. The role involves researching, developing, and productionizing ML models, services, and platforms, designing scalable data pipelines, and leading a team of ML scientists to solve business problems in Payments Trust & Safety. | Ship | 7 |
| Applied AI/ML Senior Associate Senior Associate role focused on applying AI/ML techniques, particularly NLP, to solve business problems within the Asset & Wealth Management division of JPMorgan Chase. Responsibilities include developing, productionizing, and documenting AI/ML solutions, collaborating with stakeholders, and coaching team members. Requires 3+ years of applied experience in data science and ML, with strong Python skills and experience with ML libraries and big data tools. | Ship | 7 |
| Product Director, Solutions Engineering Product Director, Solutions Engineering role focused on driving adoption of an AI platform (Fusion) within a financial services context. The role involves leading a team of engineers, collaborating with clients to co-design AI solutions, developing common solutions, and ensuring AI solutions are delivered to production with a focus on scale, reliability, and controls. | Ship | 7 |
| Applied AI ML Lead Lead Applied AI/ML role at JPMorgan Chase, focusing on developing and productionizing AI/ML solutions for business needs within the HR Data and Analytics team. Requires strong Python, ML techniques, and NLP experience. | Ship | 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 |
| Software Engineer II - Machine Learning Software Engineer II on the Machine Learning Operations team at JPMorgan Chase, focusing on building and maintaining end-to-end ML solutions for customer-facing experiences. The role involves engineering scalable features and pipelines for relevance and ranking models, implementing ML Ops practices, and ensuring system reliability and observability in a production environment. | ShipData | 7 |
| Product Manager - Machine Learning Intelligence Operations Product Manager for Machine Learning Intelligence Operations at JPMorgan Chase, focusing on Transcription and Conversational Insights. The role involves defining product strategy, roadmaps, and leading cross-functional teams to enhance customer and employee experiences using AI/ML. Key responsibilities include managing product backlogs, prioritizing features, and collaborating with various stakeholders to deliver AI-driven solutions. | Ship | 7 |
| Software Engineer III - Python, AWS, GenAI Software Engineer III with Python, AWS, and GenAI experience at JPMorgan Chase in Bengaluru. This role involves partnering on LLM projects, collaborating on ML products, and developing scalable ML-driven products within a regulated environment. Requires strong Python, cloud (AWS/Azure), and SDLC experience. | Ship | 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 |
| 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 |
| 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 |