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 |
|---|---|---|
| Quantitative Trading and Research - Securitized Products Group - Associate Quantitative modeling role focused on Residential Mortgage-Backed Securities (RMBS) and structured products. The role involves applying machine learning and generative AI to enhance financial models for trading, valuation, and risk management, including data processing, calibration, and performance monitoring. | Post-train | 7 |
| Product Manager, Databricks Experimentation Platform Product Manager for Databricks Experimentation Platform at JPMorgan Chase, focusing on strategy, roadmap, and delivery of scalable, secure, and compliant AI/ML platform features, with deep expertise in feature stores, model experimentation, and lifecycle management within a regulated financial services environment. | DataPost-train |
| 7 |
| Data Scientist [Multiple Positions Available] Data Scientist role at JPMorgan Chase focused on applying advanced data analysis and machine learning techniques to generate actionable insights, predict future outcomes, and inform strategic decisions within the fintech domain. The role involves leading full-cycle analytics projects, manipulating large datasets, building and deploying supervised and unsupervised machine learning models, and applying causal inference techniques. Experience with data regulation controls and consumer banking concepts is also required. | Post-train | 7 |
| Applied AI ML [Multiple Positions Available] JPMorgan Chase is seeking an Applied AI ML professional to design and implement AI solutions, focusing on Generative AI applications like Search, Chatbots, and Agents within the Financial Services sector. The role involves collaboration, strategic planning, evaluation, and deployment of AI/ML models, with a requirement for experience in NLP, ML, deep learning, and AWS. | AgentServe | 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 |
| Product Manager, Vice President - CIB Markets Technology Product Manager, Vice President for JPMorgan Chase's Markets Data Lake platform, focusing on integrating AI-powered capabilities, agentic workflows, and conversational analytics. The role involves owning end-to-end product delivery, defining product vision and roadmap, managing the product backlog, and leading AI/ML product initiatives from concept to production within a data mesh and AI ecosystem. | Agent | 7 |
| Data and Analytics - Unstructured Data Senior Associate This role focuses on building the foundation for leveraging unstructured data across an organization, including identifying, cataloging, extracting insights, and publishing data from various unstructured sources. It involves partnering with teams to define use cases, designing governance frameworks, evaluating emerging AI technologies like NLP, computer vision, and LLMs, and developing business cases and roadmaps. The role also involves mentoring junior members and ensuring compliance with regulatory requirements. | DataAgent | 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 |
| Securitized Products Group - Quantitative Strategist (ML / LLM) - Tax Oriented Investment Associate This role applies ML and LLMs to front-office investment workflows in securitized products, focusing on automating and improving deal origination, underwriting, syndication, and asset management. The role involves building and deploying LLM-enabled tools for document review, insight extraction, and content generation, as well as designing data pipelines and reporting tools. It sits at the intersection of quantitative research, AI engineering, and deal execution. | Agent | 7 |
| Data Scientist-Senior Associate Data Scientist-Senior Associate in Payments Data and Analytics to build data products, improve payment performance, and develop generative AI solutions. Role involves end-to-end analytics, from problem definition to productionization, using SQL and Python on large datasets. | Agent | 7 |
| Software Engineer [Multiple Positions Available] Software Engineer role focused on designing and developing generative AI solutions, including RAG and AI agents, using deep learning, NLP, and LLMs. The role involves implementing AI-driven applications, integrating AI into systems, and building scalable software, APIs, and user interfaces. It also includes cloud infrastructure management, CI/CD for AI models, data warehousing, and data lakehouse/mesh architectures. | AgentData | 7 |
| Risk Management - Risk Management & Compliance Governance Director JPMorgan Chase is seeking an Executive Data Owner to lead the transformation of its Risk Management and Compliance function into a data-centric, agentic AI product organization. This role involves owning the AI strategy and data product portfolio, driving data modernization, and overseeing end-to-end AI delivery from ideation to production, ensuring regulatory compliance and responsible AI principles. | AgentData | 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 |
| Software Engineer [Multiple Positions Available] Software Engineer role at JPMorgan Chase focused on building end-to-end machine learning pipelines, including data ingestion, feature engineering, model training, hyperparameter tuning, and RESTful deployment. The role also involves MLOps practices for model versioning, retraining, validation, governance, and orchestration, as well as deploying and managing AWS infrastructure and building microservices. | DataServe | 7 |
| Software Engineer [Multiple Positions Available] Software Engineer at JPMorgan Chase focused on developing AI-based solutions for digital payments. The role involves building ML-enhanced application services, developing tools for AI model quality control, integrating historical data into new AI models, and specifically developing neural network-based AI models for OCR. Experience with Java, Python, AWS, Azure, and various ML/AI development tools is required. | Post-trainData | 7 |
| Quantitative Research [Multiple Positions Available] Quantitative Research role at JPMorgan Chase focused on transforming equities trading into a data-led business. The role involves building analytics and data-driven processes to optimize trading, developing pricing models using statistics and machine learning, and implementing systematic hedging solutions. It requires experience in risk analytics, automated trading solutions, and utilizing ML/statistical packages. | Serve | 7 |
| Software Engineer [Multiple Positions Available] Software Engineer role focused on developing and implementing AI/ML solutions, including intelligent chatbots, conversational AI using RASA, and integrating LLMs with RAG frameworks. Requires experience with Python, Java EE, microservices, and various ML frameworks like TensorFlow and PyTorch. | Agent | 7 |
| AI/ML Software Engineer III- Java / Python AI/ML Software Engineer III at JPMorgan Chase on the Transformative AI Team, focusing on building an Agentic Private Bank. The role involves developing and implementing GenAI and Agentic AI solutions, designing and deploying prompt-based LLM models, and building data pipelines for prompt engineering within the financial services domain. | Agent | 7 |
| Marketing Data & Agentic AI Transformation Lead Lead the data strategy and transformation for a marketing automation program using Agentic AI. This role involves defining data architecture, governance, and usage for marketing execution, customer onboarding, and response analytics, aiming to build AI-enabled, self-serve measurement and analytics solutions. | Agent | 7 |
| SR Lead Software Engineer - Data Science Senior Lead Software Engineer role focused on building and deploying Transformer-based neural networks, including fine-tuning pre-trained models, for timeseries datasets within a fintech domain. The role involves MLOps practices like A/B testing and canary deployments. | Post-trainServe | 7 |
| Asset Management- Quantitative Equities Research Analyst - Vice President Quantitative Equity Researcher (VP) at JPMorgan Chase focused on developing novel alpha signals and enhancing return-forecasting models using advanced statistical, econometric, and machine learning techniques, including LLMs and generative AI. The role involves applying these techniques to large datasets, designing research pipelines, building research frameworks, and collaborating with portfolio managers and technology teams to integrate research into production systems. Requires strong Python and SQL skills, and experience with NLP and alternative data for repeatable research. | DataAgent | 7 |
| Data Scientist Lead Lead Data Scientist to monitor AI-relevant trends and develop local economic intelligence using LLM models and GenAI tools. Responsibilities include data curation, analytics, modeling, insight generation, and building data pipelines, with a focus on AI disruption monitoring and local economic impact. | AgentData | 7 |
| Sr Lead Architect, AI Senior Lead Architect role focused on AI strategy, governance, and architecture for AI/ML solutions in financial services, including agentic systems, RAG, and hybrid LLM/SLM models. | Agent | 7 |
| Lead Software Engineer - Cloud/Python/AI Engineer Lead Software Engineer focused on building and deploying enterprise-grade AI solutions, including RAG pipelines and agentic AI systems, with a strong emphasis on production-level concerns like scalability, cost, latency, privacy, hallucination mitigation, and observability. The role requires fluency with AI-assisted development tools and hands-on experience in building AI/ML features in production environments. | Agent | 7 |
| Software Engineer III - AI/ML, Java / Python Software Engineer III on the Transformative AI Team at JPMorgan Chase, focusing on building an Agentic Private Bank. The role involves developing and implementing GenAI and Agentic AI solutions, working with prompt-based LLMs, and building data pipelines for prompt engineering on cloud platforms. | Agent | 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 |
| Quantitative Trading & Research - SPG - Vice President Quantitative trading and research role focused on RMBS and structured products, developing and maintaining models. The role involves applying machine learning and generative AI to credit modeling, data processing, model calibration, performance monitoring, and delivering analytics. Responsibilities include developing financial models, conducting back-testing, performing ML analysis on large datasets, building data analysis platforms, and collaborating with stakeholders. | Post-trainData | 7 |
| Data Domain Architect Lead Lead a team of data analysts to support data annotation and labeling for machine learning models in a fintech domain. This involves developing strategies for training data optimization, identifying patterns in conversational data using NLP, and evaluating the quality of ML outputs. Requires experience in ML data annotation, data modeling, and Python. | Data | 7 |
| Compliance - Surveillance Lead - Vice President Lead the end-to-end lifecycle of AI and ML models for trade surveillance, driving strategic enhancements and innovation using advanced analytics, machine learning, and LLMs. This role involves model development, deployment, monitoring, recalibration, and leveraging GenAI/LLM tools to optimize surveillance processes and operational efficiencies within a regulated financial environment. | AgentServe | 7 |
| E-Markets [Multiple Positions Available] This role focuses on applying AI/ML and quantitative techniques to options pricing, hedging, and quoting within financial markets. It involves developing and implementing sophisticated algorithms, quantitative models, and analytical tools for trading analysis and backtesting. The position requires experience with various machine learning techniques and programming languages like Python, KDB, C++, PyTorch, and Sklearn, with a strong emphasis on quantitative research and model development in a regulated financial environment. | Post-trainServe | 7 |
| AWS Lead Software Engineer - Python, Terraform, and AI Lead Software Engineer on the AI/ML & Data Platforms team, focusing on building AI agents to enhance the software development lifecycle, designing secure Data Lake solutions in AWS, and optimizing deployment processes with Terraform and Python. | Agent | 7 |
| Human-AI Conversational Designer, Vice President JPMorgan Chase Private Bank is seeking a Vice President, Human-AI Experience Design to shape user experiences for next-generation agentic platforms for clients and advisors. This role involves defining end-to-end Human-AI experiences, shaping interaction patterns, leading user research, embedding responsible AI principles, and translating AI capabilities into intuitive and trustworthy workflows. The ideal candidate will have 5+ years of UX design experience, with 3+ years in AI-focused product design or human-AI interaction, and a strong understanding of AI/ML fundamentals and responsible AI concepts. | Agent | 7 |
| AI ML Engineering Analyst AI/ML Engineer role focused on designing, implementing, and deploying AI/ML services for Wholesale Payments Operations. The role involves applying AI/ML techniques for NLP and document understanding, prompt engineering, and designing agentic systems, with a strong emphasis on production-grade solutions and cloud infrastructure. | AgentServe | 7 |
| Risk Management - AI Governance - Model Risk - Executive Director Executive Director role focused on AI Governance and Model Risk Management within JPMorgan Chase's Risk Management and Compliance division. The role involves designing and implementing AI governance frameworks, assessing AI/ML practices, collaborating with stakeholders, and communicating emerging risks to senior management and regulators. Requires extensive experience in risk management and a strong understanding of GenAI tools. | Eval GateAgent | 7 |
| Sr Director of Infra Engineering-Advanced Capability Engineering for Mainframe Midrange Compute Platforms Senior Director role leading the application of AI, specifically agentic and automation-driven solutions, to transform the management and operation of Mainframe and Midrange Compute platforms within a financial services company. The role involves defining AI strategy, building and scaling an engineering team, implementing agentic AI solutions for infrastructure automation, and ensuring alignment with risk, security, and regulatory requirements. | Agent | 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 |
| Senior Lead Site Reliability Engineer Senior Lead Site Reliability Engineer role focused on building and optimizing AI/ML platforms and products, including infrastructure, serving, and agentic AI solutions for SRE functions. Requires deep SRE experience applied to AI/ML workloads and LLM inference. | ServeAgent | 7 |
| AWM: Investment Research, AI and Automation Associate This role involves translating business objectives into AI-powered technical solutions for investment research. The associate will own the full solution lifecycle, from requirements gathering to shipping production services and iterating on them. Key responsibilities include building systems that surface insights from various data sources using LLMs, Generative AI, agentic systems, and AWS. The role emphasizes practical business impact and collaboration with business and technology partners. | AgentServe | 7 |
| Senior Lead Site Reliability Engineer Senior Lead Site Reliability Engineer role focused on building AI-powered automation systems, intelligent monitoring, and next-generation reliability platforms. The role involves designing and building AI Agents for autonomous operations, integrating various data stores including vector databases, and developing automation scripts. Requires expertise in SRE principles, observability, and AI frameworks like LangChain. | AgentServe | 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 |
| Senior Lead Software Engineer- AI Platform engineer Senior Lead Software Engineer role focused on building and optimizing AI/ML infrastructure platforms within a financial services company. The role involves architecting cloud infrastructure, managing ML workloads, CI/CD pipelines, and collaborating with AI teams to meet computational needs. Requires strong software engineering, Kubernetes, cloud, and foundational ML knowledge. | ServeData | 7 |
| Lead Software Engineer-AI Platform Engineer Lead Software Engineer focused on building and optimizing AI/ML infrastructure platforms, including cloud deployment, CI/CD pipelines for ML workloads, and collaboration with AI teams to meet computational needs. The role involves developing secure, scalable infrastructure, monitoring resources, and implementing automation. | Serve | 7 |
| Senior Lead Software Engineer- AI Platform engineer Senior Lead Software Engineer focused on building and optimizing AI/ML infrastructure platforms within a large enterprise. The role involves architecting cloud infrastructure, implementing CI/CD for ML workloads, and collaborating with AI teams to meet their computational needs. Requires strong software engineering, cloud, and foundational ML knowledge. | Serve | 7 |
| Data Science Vice President - Card Data Analytics Data Science Vice President at JPMorgan Chase within the Card Data & Analytics team, responsible for developing and implementing AI/ML solutions, including Generative AI and foundation models, to drive strategic initiatives and business impact within the credit card business. The role involves end-to-end problem-solving, from translating business questions to building models and communicating insights. | AgentPost-train | 7 |
| Lead Software Engineer - Senior Python Developer Lead Software Engineer role focused on deploying, monitoring, and managing machine learning models in production. Responsibilities include building infrastructure, automating deployment, optimizing performance, and ensuring the continuous operation of AI systems within a cybersecurity context. Requires expertise in Python, CI/CD, cloud platforms, and containerization. | ServePost-train | 7 |
| Lead Software Engineer - Agentic Lead Software Engineer role focused on building agentic AI systems and LLM-based solutions within a large enterprise. Requires strong software engineering skills, cloud-native experience (AWS), and hands-on experience with LLMs, agent orchestration, tool use, retrieval, and safety mechanisms. Experience with Databricks and modern data pipelines is also expected. | Agent | 7 |
| AI/ML Lead Data Engineer - Automation/Image Processing Lead Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure for processing scanned document images, integrating OCR and computer vision models, and managing data storage on AWS. The role involves collaborating with data scientists and ML engineers, ensuring data quality and governance, and leading a team of data engineers. | DataServe | 7 |