Currently tracking 305 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
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.
JPMorgan Chase currently has 450 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (6), Applied AI ML Director (5), Applied AI ML Lead (4), Applied AI ML-Vice President (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (56%), application (17%), serving infrastructure (10%). 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 (306 roles), United Kingdom (71 roles), India (52 roles), Singapore (12 roles).
Job postings at JPMorgan Chase most frequently reference: agent orchestration, llm observability, model serving, rag, fine tuning.
In the past 30 days, JPMorgan Chase has posted 161 new AI-related roles. That is a -33% change versus the prior 30 days (242 → 161).
| Title | Stage | AI score |
|---|---|---|
| Technical Principal Architect - Agentic AI & Messaging Technical Principal Architect role focused on Agentic AI and Messaging technologies within Prime Finance at JPMorgan Chase. The role involves defining architectural vision, designing scalable and secure solutions, and leading the integration of autonomous AI workflows. Requires deep expertise in Java, Python, messaging technologies (Kafka, AMPS), and both relational and NoSQL databases, with a strong understanding of cloud platforms and DevOps. | Agent | 7 |
| Software Engineer II - UX Designer Software Engineer II - UX Designer role focused on integrating Generative AI into multi-modal interfaces (voice, text, touch) for web and mobile platforms. Requires hands-on engineering expertise in front-end development (React, Node.js) and collaboration with AI/ML engineers to build user-centric solutions. | Agent |
| 7 |
| Agentic AI Principal Software Engineer - Executive Director MarTech Lead Principal Software Engineer focused on Agentic AI and LLMs for MarTech within a financial institution. The role involves leading the design and development of AI-driven solutions to automate lead qualification and engagement, integrating these capabilities into existing platforms. Requires strong software engineering and ML engineering experience with a proven track record of shipping production systems. | Agent | 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 |
| Lead Software Engineer - Fullstack Lead Lead Software Engineer role focused on building full-stack features for an AI-powered advisory platform, including backend APIs, AI agent orchestration, and frontend UI. The role involves integrating LLMs with financial data and internal/third-party services. | Agent | 7 |
| Business Banking - Data Scientist [Multiple Positions Available] Data Scientist role at JPMorgan Chase focused on developing and deploying machine learning models for financial prediction, trend identification, risk analysis, and anomaly detection within business banking portfolios. The role involves data processing, wrangling, ETL, automation, and leveraging visualization tools. Requires experience with Python, scikit-learn, SQL, and various BI software. | Post-trainData | 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 |
| Analytics Solution - Associate Associate Analytics Solution role at JPMorgan Chase in Bengaluru, focused on developing data visualizations, intelligence solutions, and strategic analytics. Leverages advanced analytics tools, Python, SQL, and AI/ML techniques, including LLM use cases, to drive decision-making, streamline processes, and support cloud migration. Collaborates with stakeholders and mentors junior team members. | Agent | 7 |
| Asset Management, Data Scientist, Vice President, London/Glasgow This role focuses on designing and implementing agentic AI workflows and LLM/NLP/ML solutions for asset management, with a strong emphasis on production deployment and scaling. It involves applying techniques like RAG, NER, and prompt engineering, and requires collaboration with business stakeholders and technologists. | AgentServe | 7 |
| Applied AI ML Lead Lead role in a Fintech company focused on designing and delivering innovative AI/ML models for financial analysis, regulatory requirements, and pricing decisions. Requires strong quantitative, programming (Python, PySpark), and machine learning skills, with experience in leading teams and communicating complex concepts. | Post-train | 7 |
| AI-ML Modeler Senior Associate Senior Associate AI-ML Modeler in the Finance Modeling team at JPMorgan Chase. The role involves designing and delivering innovative models for budgeting, financial analysis, regulatory requirements, and pricing decisions. Responsibilities include data anomaly identification, quantitative analysis, data cleaning, model building (statistical, econometric, ML), communicating results to stakeholders, and mentoring team members. Requires a graduate degree, 5+ years of model development experience, proficiency in Python/R/Scala, experience with specific financial models (budget, CCAR, PPNR), statistical/econometric techniques, machine learning theory, big data tools (Spark/Hadoop), and explainability for risk and compliance. Familiarity with Gen AI is preferred. | Post-train | 7 |
| Principal Data Scientist-Payments-Executive Director Principal Data Scientist to lead AI strategy and development for agentic, AI-native treasury products in a fintech environment. Focus on scaling AI solutions from ideation to production, driving measurable business outcomes, and staying current with emerging AI techniques. | Agent | 7 |
| Applied AI/ML Senior Associate Senior Associate Applied AI/ML Scientist role focused on developing and deploying agentic systems using LLMs and other AI/ML technologies to improve payment processes, fraud detection, and customer experience within a financial services context. Responsibilities include data pipeline design, model implementation, and collaboration with cross-functional teams, while ensuring regulatory compliance. | Agent | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |