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 |
|---|---|---|
| Security Engineer III - AIML Security Engineer focused on AI/ML security, red teaming, and adversarial resilience for generative AI, RAG pipelines, and ML systems within a large enterprise. The role involves developing security strategies, conducting threat modeling, and implementing controls to prevent misuse and malicious behavior. | AgentEval Gate | 8 |
| Software Engineer III - AI/ML, Prompt Engineer Software Engineer III focused on Prompt Engineering and Applied ML within a Risk & Controls AI team. The role involves designing and optimizing production-grade prompts, implementing LLM integration patterns (RAG, chain-of-thought), defining evaluation criteria, building agent workflows, and leveraging various databases. Responsibilities include data preparation, feature engineering, monitoring AI/ML workflows, and developing Python scripts. Requires significant experience in ML, applied AI, prompt engineering, and LLM application development. |
| AgentData |
| 8 |
| Applied AI ML Senior Associate Senior Associate role focused on building and scaling AI/ML solutions, particularly LLM-powered systems and agentic frameworks, within an enterprise environment. Requires strong software engineering discipline, experience with ML frameworks, MLOps, and cloud platforms (Azure/AWS). | AgentServe | 8 |
| Director of Software Engineering - Python, Gen AI Director of Software Engineering role focused on building and shipping production AI solutions within a fintech domain, specifically leveraging the GenAI stack for financial applications. The role involves end-to-end development, RAG pipelines, prompt engineering, agentic workflows, and collaboration with business and control partners. Emphasis on practical application of AI, modern software engineering practices, and AI-assisted development tools. | AgentShip | 8 |
| WCR- Quantitative Research - Associate This role focuses on building and deploying AI/ML/LLM/GenAI solutions, with a strong emphasis on fine-tuning generative models for specific use cases, building AI agents, and implementing RAG-based solutions. The role also involves developing data pipelines, evaluating models, and communicating results. | AgentPost-train | 8 |
| Data Scientist Senior Associate - Applied AI ML Senior Associate Data Scientist focused on applied AI/ML, specifically GenAI and LLMs, for fintech. Responsibilities include designing, developing, and deploying AI systems, integrating GenAI into platforms, optimizing performance, and ensuring responsible AI governance and compliance. Requires strong Python, ML framework, and MLOps experience, with a focus on agentic workflows and production deployment. | AgentServe | 8 |
| AWM Quant Modelling- Senior Associate Senior Associate Data Scientist role in JPMorgan's AWM Risk Analytics Group, focusing on developing and deploying AI/ML models for risk management. Responsibilities include identifying use cases, leading model development (NLP, LLMs), prompt engineering, quantization, evaluation, data onboarding, model optimization, and contributing to risk methodologies. Requires experience with Python, SQL, R, PyTorch/TensorFlow, AWS, and frameworks like LangChain. | AgentPost-train | 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 Artificial Intelligence & Machine Learning - Vice President JPMorgan Chase is seeking a Vice President for their Applied Artificial Intelligence & Machine Learning team in Mumbai. This role focuses on developing and deploying scalable ML solutions for KYC and operations, with potential for commercialization. The position requires a Master's or PhD in a quantitative field, strong Python skills, and experience deploying ML models in production at scale. Experience with NLP, LLMs, and Agentic AI systems is preferred. | AgentServe | 8 |
| Investment Risk & Analytics - Quant Modeling Associate JPMorgan Chase is seeking a Quant Modeling Associate with 3+ years of experience in AI/ML to design, develop, and deploy advanced AI/ML models for investment risk oversight. The role involves the full lifecycle of AI/ML initiatives, including data engineering, model development, validation, deployment, and monitoring, with a focus on generative AI and deep learning techniques. The associate will collaborate with technology teams, present findings, and stay updated on AI trends, while also participating in governance and regulatory discussions. | AgentData | 8 |
| Embedded AI - CIB Chief Analytics office JPMorgan Chase's Commercial and Investment Bank Chief Analytics Office is seeking an Embedded AI Senior Associate to accelerate high-impact AI programs, focusing on generative AI, LLMs, and Agentic AI. The role involves close collaboration with business experts and analytics/technology teams for end-to-end delivery of AI solutions, ensuring responsible AI use and staying updated with cutting-edge research. Responsibilities include identifying AI solutions, analyzing data, communicating insights to senior stakeholders, and delivering AI solutions. | Agent | 8 |
| Agentic Development - Vice President The role focuses on developing and deploying modular components for agentic systems, enabling intelligent automation and orchestration within business platforms. It involves integrating these capabilities into existing systems, containerizing and deploying them on cloud platforms, and applying advancements in agentic frameworks, LLMs, and GenAI. The role also includes leading a team of senior resources focused on agentic solutions and infrastructure development. | Agent | 8 |
| Agentic Development Associate Develops and maintains modular components for agentic systems, integrating AI/ML initiatives, containerizing and deploying on cloud platforms, and leveraging agentic frameworks, LLMs, and GenAI. Requires hands-on experience with agentic systems in production and strong Python skills. | Agent | 8 |
| Applied AI/ML Lead Lead role focused on designing, deploying, and managing prompt-based LLM models for NLP tasks in financial services. Involves research into prompt engineering, LLM orchestration, agentic AI, building data pipelines, and developing tools for model training, evaluation, and optimization. Requires strong Python, PyTorch/TensorFlow, cloud platform, and MLOps experience. | AgentData | 8 |
| Product Manager - Customer Onboarding (Agentic AI Specialist) Product Manager for Customer Onboarding in Consumer Banking, focusing on AI capabilities. The role involves defining product strategy, leading development of new offers and account opening features, and driving the adoption of AI, including prompt-building and workflow automation using Agent Builder. Key responsibilities include identifying AI use cases, designing automated workflows with guardrails and monitoring, establishing AI standards, and partnering with cross-functional teams. Requires strong prompt engineering skills and experience with AI product practices in a regulated environment. | Agent | 7 |
| Senior Director of Software Engineering Senior Director of Software Engineering at JPMorgan Chase leading multiple technical domains, managing teams, and driving strategic platform development. The role focuses on scaling agentic AI-enabled engineering and SDLC/TLM automation across departments, establishing governance, and ensuring responsible AI adoption. Requires deep expertise in software engineering, cloud, CI/CD, databases, and demonstrated experience with AI/ML, LLMs, and Generative AI. | Agent | 7 |
| Director of Software Engineering Director of Software Engineering at JPMorgan Chase to lead a technical area and drive impact within teams, technologies, and projects. The role involves setting direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, applying knowledge of AI-assisted development tools, and leading the adoption of agentic AI-enabled engineering practices. Requires strong understanding of responsible AI use and control expectations in engineering workflows. | Agent | 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 |
| Data Scientist Associate Develops and integrates generative AI use cases, focusing on agentic workflows and AI agents within the Cards Data & Analytics team at JPMorgan Chase. Builds data pipelines, prototypes AI features, and monitors AI model performance. | AgentServe | 7 |
| Data Management Senior Associate This role focuses on developing and implementing AI/LLM-based strategies for data governance within the Consumer and Community Banking division of JPMorgan Chase. The primary goal is to manage data risks associated with enterprise data warehouse solutions, including data catalogs, data lakes, and reference data, as the organization transitions to the public cloud. The role involves defining and executing protocols, managing master data management strategies, and collaborating with various stakeholders to ensure data risks are understood and mitigated. | Data | 7 |
| Lead Software Engineer - Python and AI/ML Lead Software Engineer to build an AI-Native SDLC Agent Fabric using multi-agent systems, LLM orchestration, and AI toolchains on AWS. The role involves designing and implementing LLM-driven agent services, developing orchestration layers, integrating AI agents with toolchains, and providing technical leadership. | Agent | 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 |
| 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 |
| Applied Artificial Intelligence & Machine Learning- Markets Operations - Vice President Lead the design and delivery of AI/ML solutions for Market Operations at JPMorgan Chase. This role involves managing a team, partnering with business and technology stakeholders, and ensuring the successful implementation and scaling of AI-driven tools. The focus is on developing and deploying production-grade AI/ML applications, establishing best practices for evaluation and monitoring, and driving measurable impact. | ShipAgent | 7 |
| Senior Associate -Applied AI ML -Digital Seeking an AI engineer to develop and productionize NLP models and services for bank operations, focusing on end-to-end projects and scalable data pipelines. | Agent | 7 |
| Applied Artificial Intelligence & Machine Learning Engineer - Vice President This role is for an Applied AI/ML Engineer (VP level) at JPMorgan Chase, focusing on developing and delivering AI solutions for Commercial & Investment Banking Payments. The engineer will collaborate with cross-functional teams to boost operational efficiency and drive business innovation using AI/ML technologies, managing the code lifecycle from development to production. | Ship | 7 |
| Applied Artificial Intelligence & Machine Learning Engineer - Associate Applied AIML Engineer at JPMorgan Chase, focused on developing and delivering AI-driven payments solutions for Commercial & Investment Banking. The role involves coding, cross-functional collaboration, and end-to-end code lifecycle management, with a minimum of 2 years of AIML project delivery experience. | Ship | 7 |
| Modeling Centre of Excellence: Forecasting_ Analyst Develops and industrializes quantitative methodologies and predictive models using statistical and machine learning techniques in R/Python for financial planning and forecasting within a large financial institution. The role involves data analysis, model development, documentation, and interaction with model governance. | Post-train | 7 |
| Modeling Centre of Excellence: Forecasting_ Associate Develops quantitative methodologies and predictive/explanatory models using statistical and machine learning techniques in R/Python for financial planning and forecasting within a large financial institution. The role involves data analysis, model development, documentation, and interaction with model governance. | Post-train | 7 |
| Lead Data Architect Lead Data Architect at JPMorgan Chase within the Infrastructure Platforms team, responsible for developing high-quality data architecture solutions on modern cloud-based technologies. The role involves defining target state data architecture, implementing processes to enhance data access and analysis, developing insights using various analytic methods including machine learning, and evaluating new technologies. A key aspect is leveraging enterprise-authorized AI capabilities to accelerate data architecture analysis and decisioning, and driving the adoption of AI-assisted data validation within the SDLC. | — | 5 |
| Lead Software Engineer - Java, AWS & Agentic AI Lead Software Engineer role focused on integrating AI-assisted engineering practices and Agentic AI solutions within a financial services context. The role emphasizes driving team adoption of AI tools for code quality, delivery speed, and operational outcomes, while ensuring responsible and secure AI usage. Core technical skills include Java, AWS, and SDLC, with a requirement for implementing at least one Agentic AI use case. | — | 5 |
| Associate - Compliance and Ops Risk Test Lead This role focuses on testing AI/ML systems, including data lineage, statistical validation, model lifecycle aspects, and agentic AI workflows, within a compliance and operational risk framework at a financial institution. The primary responsibility is to ensure the quality and compliance of AI/ML systems through rigorous testing and gap analysis. | AgentData | 5 |
| Sr Lead Software Engineer - Java Full Stack Senior Lead Software Engineer role focused on driving adoption and governance of AI-assisted engineering practices within a financial services context. The role involves developing secure, high-quality production code, providing technical guidance, and applying knowledge of SDLC tools, including AI-assisted development and automation capabilities. Emphasizes responsible AI use, data sensitivity, and coaching engineers on compliant usage. | — | 5 |
| Lead Software Engineer - Java Lead Software Engineer role focused on enhancing and delivering technology products within JPMorgan Wealth Management. The role emphasizes driving team adoption of enterprise-authorized AI-assisted engineering practices, applying knowledge of AI tools in the SDLC, and leading evaluation sessions for new technologies. Requires strong Java, Spring Boot, Microservices, and AWS experience, along with demonstrated experience leading the use of AI-assisted development tools and understanding responsible AI use. | — | 5 |
| Software Engineer II Software Engineer II - Python Developer at JPMorgan Chase within the Commercial & Investment Bank, responsible for designing and delivering technology products. The role involves executing software solutions, creating secure production code, and leveraging enterprise-authorized AI coding assist tools to improve code quality and productivity. The engineer will also gather and analyze data, contribute to communities of practice, and support BAU operations for Markets businesses. | — | 5 |
| Software Engineer III-Automation Software Engineer III focused on driving team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. The role involves designing, developing, and troubleshooting software solutions, with a strong emphasis on automation and responsible AI use within engineering workflows. | — | 5 |
| Vice President - AI Product Strategy & Intelligence – Controls Transformation This Vice President role focuses on AI Product Strategy and Intelligence within Controls Transformation at JPMorgan Chase. The role involves driving structured product strategy and end-to-end delivery for AI-enabled controls capabilities, shifting from fragmented processes to integrated, data-driven decisioning. It requires partnering with Product Managers, Engineering, and Data teams to translate strategic priorities into actionable plans and embedding AI into controls workflows for improved decision quality, efficiency, and scalability. | Agent | 5 |
| Lead Software Engineer - Java Backend Lead Lead Software Engineer focused on backend Java development within a financial services firm. The role involves driving the adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. This includes coaching engineers on responsible AI use, validating AI outputs, and ensuring secure and compliant adoption within development workflows. | — | 5 |
| BI Developer (Gen AI) – BI and Analytics - Associate Develops and deploys GenAI-based solutions, focusing on prompt/context engineering frameworks, within a BI and Analytics context. Requires strong data engineering, Python, SQL, and ETL pipeline experience, with a foundation in data warehousing and visualization. | Agent | 5 |
| Software Engineer III, Mobile Development Software Engineer III, Mobile Development at JPMorgan Chase, focused on building and enhancing mobile applications. The role involves executing software solutions, creating production code, and leveraging enterprise-authorized AI coding assist tools to improve code quality and delivery speed. It also requires implementing AI/ML-powered mobile features, applying mobile architectures, and optimizing code on real devices. The engineer will also operate CI/CD pipelines and adhere to responsible AI use principles. | — | 5 |
| Sr. Director of Software Engineering Senior Director of Software Engineering for a Commercial and Investment Bank post-trade accounting group, focusing on leading engineering outcomes, driving adoption of technical methods, and specifically setting strategy for agentic AI-enabled engineering and SDLC/TLM automation using enterprise tools. The role involves translating finance requirements into scalable architectures, leading agile pods, driving end-to-end technology execution, and ensuring production stability. A key focus is establishing guardrails for AI validation, security, resiliency, and traceability, and applying AI-assisted development capabilities. Experience in regulated financial environments is preferred. | Agent | 5 |
| Product Delivery Manager Product Delivery Manager for an Employee Assistant team, focusing on enabling the delivery of Agentic AI products in a stable and scalable way. The role involves managing end-to-end product delivery processes, including intake, dependency management, release management, and operationalization, while ensuring adherence to risk, controls, compliance, and regulatory requirements. The manager will facilitate product planning, Agile ceremonies, and track team progress against the roadmap. | Agent | 5 |
| Product Solutions Manager This role is a Product Solutions Manager for the Fusion platform at JPMorgan Chase, focusing on improving client experience through service excellence and operational insights. The Fusion platform is described as a data and AI platform supporting the full AI lifecycle. The role involves building service analytics, driving problem management, partnering with engineering teams, and optimizing service operations. While the platform is AI-related, the role itself is focused on product management and service operations, not direct AI/ML development. | — | 5 |
| Senior Lead Software Engineer - Python, AWS, Snowflake Senior Lead Software Engineer role focused on integrating and driving the adoption of AI-assisted engineering practices and tools within the software development lifecycle at JPMorgan Chase. The role emphasizes building robust, secure, and innovative technology products while ensuring responsible and compliant use of AI technologies. | — | 5 |
| Vice President - Data Owner Lead (Data & Analytics) This role focuses on data ownership and governance within an enterprise setting, aiming to create high-quality, reusable data products. While it leverages AI/ML and LLM tooling for automation, the core function is data management and product delivery, not direct AI model development or research. The role involves collaborating with various teams to ensure data is understood, fit for purpose, and well-governed, supporting advanced analytics and ML use cases. | — | 5 |
| Trading Services Associate II This role focuses on applying AI and data science techniques, including LLMs, to automate trade processing, document extraction, and data analysis within JPMorgan Chase's trading services. The primary output is the implementation of technology solutions for process optimization and risk management. | Data | 5 |
| Securities Services - Billing Product Development - Vice President This role is for a Vice President - Product Delivery Manager in Securities Services Billing at JPMorgan Chase. The primary focus is on defining and delivering the strategic roadmap for end-to-end Billing, including supporting the AI & Data Strategy for Securities Services Billing. The role involves establishing a well-governed data foundation, streamlining data requirements, validations, and downstream impacts, and applying AI/ML-enabled approaches to enhance insights, efficiency, and risk management. Responsibilities include stakeholder engagement, defining product and data roadmaps, owning product/process/data end-to-end, establishing frameworks for requirements delivery, leading the delivery lifecycle, and managing risks. The role also involves leading and developing a team. | Data | 5 |
| Test Automation Engineer - Associate This role focuses on test automation within the financial services industry, leveraging AI/LLM tools to accelerate various stages of the testing lifecycle, including test design, code generation, triage, and documentation. The engineer will be responsible for architecting and maintaining test automation environments, designing and implementing solutions for test data management, and applying AI/ML for risk-based testing and defect prediction. A strong emphasis is placed on prompt engineering and validating AI outputs for responsible AI usage. | Ship | 5 |
| Quant Analytics Manager Lead analytics to identify opportunities, optimize strategies, and deliver impactful insights across business functions. Drive the development and execution of analytics roadmap and governance, identify revenue and expense opportunities, develop advanced analytics on merchant data. Collaborate across business areas, operations, and technology teams to define and deliver scalable analytical solutions. Shape the strategic analytical agenda, driving innovation, and optimizing strategies through data, analytics, and Machine learning. Provide a comprehensive view of data to all levels of stakeholders across multiple functions, forward-thinking, analytical, and comfortable working in a fast-paced environment and implement solutions that propel Chase forward. | Ship | 5 |