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 |
|---|---|---|
| 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 |
| Controls Room AI/ML Developer - Senior Associate Develops and implements agentic systems for control management, focusing on multi-step reasoning, tool integration, and workflow orchestration using LLMs. The role involves designing agent architecture, integrating tools, and ensuring observability and governance. | Agent |
| 7 |
| CEI Data Scientist Sr Associate This role focuses on integrating advanced AI tools and techniques, specifically agentic AI, into the economic research process for a financial institution. The primary goal is to analyze consumer and business financial well-being by identifying trends in income, spend, savings, and credit. The role involves data wrangling, analysis, and visualization, with a strong emphasis on applying AI to uncover economic insights. | Agent | 7 |
| Sr Director of Software Engineering - Insurance Senior Director of Software Engineering to lead teams in building AI-native digital insurance platforms, embedding AI coding tools, agentic workflows, and LLM-powered capabilities. The role involves driving technical strategy, managing technology delivery, and fostering an AI-augmented engineering culture. | Agent | 7 |
| 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 |
| Data and AI Control Manager This role focuses on building and productionizing AI/ML solutions, including Generative AI workflows, to enhance risk detection, continuous monitoring, and regulatory compliance within a financial services context. It involves automating testing processes, operationalizing alerts, and applying LLMs/GenAI for tasks like document parsing and policy mapping, with a strong emphasis on explainability and auditability in a regulated environment. | AgentData | 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 |
| Principal Software Engineer - Engineering Manager - Data and AI Platform The Principal Software Engineer - Engineering Manager will set the vision and strategy for a Data and AI Platform, enabling product teams by covering data ingestion, transformation, LLM patterns, audit, safety guardrails, compliance, and observability. The role involves leading a multi-discipline organization, owning the data foundation, ensuring compliant data use, defining enablement for LLM applications, establishing engineering excellence, driving a product-oriented model, enabling data-driven development, and attracting talent. | AgentServe | 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 |
| Sr Director of Software Engineering (Java, AIML, RAG, Data/Analytics) Senior Director of Software Engineering at JPMorgan Chase to lead the development and evolution of a Product Tooling ecosystem. The role involves defining technical vision, driving architecture, and overseeing the delivery of mission-critical tooling that supports product management, planning, execution, and analytics. A key focus is championing the integration of AI technologies, including generative AI and RAG, to automate workflows, generate insights, and optimize product development processes. The role also includes leading engineering teams, ensuring platform scalability and security, and collaborating with stakeholders. | Agent | 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 Director of Software Engineering Senior Director of Software Engineering to lead multiple technical areas and manage departments, focusing on the adoption and implementation of agentic AI-enabled engineering and SDLC/TLM automation within financial services. The role involves setting strategy, establishing guardrails, accelerating delivery through GenAI, and influencing across complex organizations. | Agent | 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 |
| 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 |
| 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 |
| Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President / Executive Director Quantitative research role focused on developing and implementing mid-frequency trading strategies using advanced statistical modeling and machine learning techniques. The role involves the full lifecycle from ideation and research to production deployment and performance monitoring, with a strong emphasis on extracting predictive signals from complex financial 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 |
| Data Science – (Gen AI Developer) - Analyst This role focuses on architecting and developing solutions leveraging Generative AI and Agentic AI technologies, with a strong emphasis on RAG-based agents and deploying them into production. The role involves data analysis, model development, and translating model outputs into user-friendly insights. | Agent | 7 |
| Wholesale Client Profitability (WCP), Transformation, Controllership & P&A - Vice President This role focuses on integrating AI and automation into financial processes, specifically client profitability, to improve accuracy, timeliness, and efficiency. It involves leading the adoption of AI/ML and GenAI use cases within period-end workflows, defining guardrails for these AI systems, and partnering with Technology and Data teams to rationalize tools and shorten cycle times. The role requires hands-on experience with AI/ML in financial close processes and a strong understanding of finance transformation, controllership, and risk management. | Agent | 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 |
| Software Engineer II - Python Software Engineer II at JPMorgan Chase in Mumbai, India, focusing on building and operating LLM-driven applications and ML products within a regulated fintech environment. The role involves partnering with technology teams, Data Science, and Cybersecurity, and requires advanced Python skills, cloud experience (Azure/AWS), and proficiency in software development lifecycle and cloud-native architectures. Experience with agentic frameworks and fine-tuning LLMs is preferred. | AgentPost-train | 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 |
| AI-ML Modeler - Senior Associate Senior Associate AI-ML Modeler at JPMorgan Chase in Bengaluru, India, focusing on designing and delivering innovative models for budgeting, financial analysis, regulatory requirements, and pricing decisions. The role involves advanced quantitative analysis, data cleaning, model building using statistical, econometric, and machine learning techniques, and communicating results to stakeholders. Requires a graduate degree, 5+ years of model development experience, proficiency in Python/R/Scala, experience with big data tools, and understanding of ML explainability for risk and compliance. | Post-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 |
| 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 |
| Applied AI/ML Associate Senior - Causal ML This role focuses on applying GenAI, ML, and statistical models, with a strong emphasis on causal inference, to solve business problems in the Global Wealth Management space. The goal is to build next-generation decision systems for pricing, campaign targeting, and understanding cause-and-effect relationships in observational data. | Agent | 7 |
| Software Engineer III - SAP ABAP Software Engineer III role focused on designing and delivering AI-powered solutions on SAP BTP, building agentic AI capabilities, and leading proof-of-concept initiatives. Requires experience in AI/ML solution development, SAP BTP, Python/JavaScript, and MLOps practices. | Agent | 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 |
| 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 |
| Quantitative Trading & Research - Automated Trading Strategies - Rates - Analyst or Associate Quantitative trading role focused on building systematic trading strategies using AI/ML techniques for pricing, risk management, and execution in Rates markets. Involves analyzing large datasets, back testing strategies, expanding modeling tools, and maintaining trading software systems. | Agent | 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 |
| 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 |
| Senior Product Associate - Employee Platforms (AI Tooling, RAG, LLM) Senior Product Associate role focused on developing and launching AI-enabled internal capabilities and experiences within JPMorgan Chase's Employee Platforms. The role involves identifying product opportunities, running discovery loops, and leveraging AI (LLMs, RAG, agents) as a core toolset across the product lifecycle. Requires a hands-on approach, collaboration with engineering and data science, and a strong understanding of LLM application concepts and AI quality signals. | Agent | 7 |
| Lead Software Engineer - Data Engineer Lead Software Engineer for Data Engineering role focused on building an AI/Agentic AI layer for a Data Products platform. This involves architecting and developing autonomous agents for data product lifecycle management, leveraging NLP, RAG, Vector Databases, and multi-agent orchestration. The role also requires hands-on technical leadership, mentoring a team, and ensuring scalability, security, and best practices for enterprise-grade data platforms. | AgentData | 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 |