JPMorgan Chase
Banking · Banking
- HQ
- New York City, US
- Founded
- 2000
- Size
- 270,000+
- Website
- jpmorganchase.com
Banking · Banking
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 |
|---|---|---|
| Lead Software Engineer - Full Stack Lead Software Engineer responsible for integrating AI assistants into development workflows, establishing governance, and tracking outcomes. Focuses on secure, resilient, and scalable technology solutions within a large enterprise environment. | Ship | 5 |
| AI Enablement and Agile Coaching This role focuses on enabling the practical application of GenAI agents within an enterprise setting. The primary responsibilities include coaching teams on outcome-driven delivery, removing blockers, and designing/prototyping lightweight GenAI agents for productivity improvements. The role emphasizes prompt engineering, basic tool-using agents, and ensuring alignment with enterprise governance and risk controls. While not deep R&D, it requires foundational GenAI fluency and comfort partnering with engineers. | Agent |
| 5 |
| Commodities Systematic Trading - Associate (Mumbai) This role supports a Commodities Systematic Trading team, focusing on alpha generation, e-trading, and data science/machine learning within financial markets. Responsibilities include building and maintaining tools, UIs, and frameworks for systematic risk-taking, developing systematic strategies and performance monitoring systems, enhancing tool robustness, processing and analyzing large datasets for alpha research, and collaborating with traders. Requires strong Python and data analysis skills, database knowledge (KDB), and excellent communication. Preferred qualifications include experience in systematic/quant research and data cleaning/processing. | Data | 5 |
| Asset Management- Lead Software Engineer, Vice President Lead Software Engineer to design and build software and AI capabilities for a new platform in investment solutions, focusing on customized client needs. | Agent | 5 |
| Migration Data Lead Lead for migration data, focusing on accuracy, timeliness, and control. Will leverage AI for insights, automation, and developing AI/chatbot features in dashboards for natural language querying. The role involves data warehousing, automation, and developing insights from cross-migration data, resource utilization, project attributes, and case volumes. | — | 5 |
| Asset Management- Software Engineer III Software Engineer III on the Customized Managed Account Solutions (CMAS) Strategic Initiatives team at JPMorgan Chase. This role focuses on designing and building software and AI capabilities for a new platform that customizes and implements investment solutions. The candidate will work with stakeholders to translate business needs into technical solutions, develop and maintain AI systems, and integrate AI-powered features into applications. Requires 3+ years of software development experience, proficiency in Python, Django, Pandas, SQL, and experience with AI coding techniques and building AI features. | Ship | 5 |
| Sr. Lead Software Engineer - Athena Senior Lead Software Engineer role at JPMorgan Chase focused on prompt engineering and agentic AI workflows to automate development solutions within the Commercial and Investment Bank. Requires strong Python skills and experience in Agile development. | Agent | 5 |
| Lead Software Engineer Lead Software Engineer for a China LLM team to build an AI enablement platform connecting to global LLM endpoints, focusing on UI and backend services with regulatory compliance and secure access controls. | Agent | 5 |
| Lead Software Engineer Lead Software Engineer at JPMorganChase within the Branch Ops Product team, responsible for enhancing, building, and delivering technology products. The role involves executing creative software solutions, developing secure production code, identifying automation opportunities, leading vendor evaluations, and driving awareness of new technologies. Requires hands-on experience in system design, application development, testing, operational stability, proficiency in programming languages, automation, CI/CD, and understanding of agile methodologies. Experience with cloud platforms (AWS, Azure, GCP), AI/ML cloud services, Infrastructure as Code, and the financial services industry is also required. | — | 5 |
| Cash Equities Trade Support Senior Associate This role supports Cash Equities trade support operations, focusing on the entire transaction lifecycle, risk management, and operational process improvement. It involves leveraging automation, data analytics, and scripting languages (Python, SQL) for trade capture, reconciliation, and workflow efficiency. The role also requires familiarity with LLMs and AI-driven solutions to streamline operations and enhance control frameworks, while participating in strategic initiatives for process improvement and technology adoption. | — | 5 |
| Data Domain Architect Lead - VP Lead the data domain architecture and operating framework for Customer Experience survey data, enabling scalable survey execution, interactive reporting, and actionable insights. Partner with stakeholders to modernize processes, improve data quality and controls, and unlock value from platforms like Qualtrics. Evaluate emerging technologies, including Generative AI tooling, to improve data preparation, interpretation, and delivery. | — | 5 |
| Sr Manager of Software Engineering Senior Manager of Software Engineering at JPMorgan Chase, leading multiple technical teams in the Consumer & Community Banking division. The role focuses on platform strategy and modernization, including AI enablement for efficiency, anomaly detection, and automation. Responsibilities include managing platform strategy, championing engineering best practices, leading the design of high-throughput, low-latency applications leveraging machine learning architectures on AWS, and developing secure, scalable microservices. Requires formal software engineering training/certification and experience leading technologists, with practical experience in system design, application development, testing, and operational stability, particularly with Java-based microservices on AWS and near real-time stream processing. | Serve | 5 |
| Principal Architect Principal Architect role focused on defining target architecture strategies for Consumer & Community Banking, emphasizing Domain-Driven Design and the adoption of AI-enabled capabilities. The role involves shaping modernization, ensuring security and compliance, and partnering with senior leaders to align architecture with business outcomes in a regulated financial services environment. | Agent | 5 |
| Lead Software Engineer – DevOps / Python / AWS (all genders) Lead Software Engineer focused on DevOps and Python on AWS, responsible for designing and delivering technology products. The role involves automating processes within the European Legal Entity JPMSE by leveraging AWS Cloud and AI solutions, including developing AI/ML solutions and agentic systems, and managing container orchestration and infrastructure. | Agent | 5 |
| Platform and Data Operations Director This role is for a Platform and Data Operations Director at JPMorgan Chase, focusing on the Client360 platform. The primary responsibilities involve strategic planning, execution, and oversight of platform and data operations to unify client data, drive business growth, and ensure regulatory compliance. While the role mentions leveraging AI and machine learning for insights, its core focus is on platform and data operations management rather than direct AI/ML model development or deployment. | — | 5 |
| Lead Data Engineer - Oracle SQL Lead Data Engineer (VP) role focused on designing, developing, and optimizing SQL and PL/SQL solutions, primarily in Oracle environments, to support data engineering, analytics, and AI-driven architectures. Responsibilities include managing data pipelines, reporting datasets, and database strategies, with a focus on data quality, performance, and collaboration with stakeholders. The role also involves applying ML, GenAI, and RAG concepts for advanced analytics and reporting. | — | 5 |
| APAC Payments Transformation & Execution – Vice President JPMorgan Chase is seeking a Vice President for their APAC Payments Transformation & Execution team in Singapore. This role will drive strategic change and operational efficiency across 14 APAC markets, focusing on delivering high-impact Payments transformation programs. Responsibilities include translating strategic priorities into execution, driving stakeholder alignment, advancing AI/ML and automation initiatives, developing business cases, and ensuring strong risk and regulatory discipline. The role requires a Bachelor's degree, 7+ years of experience in transaction banking with a focus on transformation, and demonstrated ability to lead complex, multi-stakeholder transformations. Experience in AI/ML and automation initiatives within a regulated environment is preferred. | — | 5 |
| Tech Risk and Controls Lead - Data Strategy and Controls - GT CDAO Lead for Tech Risk and Controls within Data Strategy and Controls at JPMorgan Chase, focusing on identifying, assessing, and mitigating compliance, operational, and data-related risks in technology, data, and AI governance processes. This role ensures effective controls and adherence to firmwide frameworks and regulatory expectations. | — | 5 |
| Lead Software Engineer – Full Stack - Java/AWS/Streaming Lead Software Engineer role focused on modernizing applications and delivering technical solutions, with a strong emphasis on collaborating with data scientists to identify and implement AI-driven business opportunities. The role involves hands-on experience with AI/ML frameworks, Vector DB, LLMs, and cloud-based AI services, including specific mentions of Claude and DBx Vector search. | Agent | 5 |
| Lead Software Engineer-Full Stack Lead Software Engineer focused on integrating AI assistants into the software development lifecycle at JPMorgan Chase. The role involves designing and implementing features, ensuring operational excellence, championing secure designs, and establishing governance for AI use, including prompt hygiene, PII protection, and outcome measurement. The engineer will also write production code, integrate with databases, and lead design reviews. | Ship | 5 |
| Quant Analytics Senior Associate - Customer Loyalty Analytics Quant Analytics Senior Associate focused on Customer Loyalty Analytics within JPMorgan Chase's Data & Analytics organization. The role involves analyzing complex data sets using SQL, Alteryx, Python, and Tableau to derive insights from customer journeys, identify KPIs, conduct trend analysis, and advise on strategies to improve customer experience. Responsibilities include data cleaning, transformation, interpretation, preparing presentations, documenting data lineage, and developing hypotheses. The role requires collaboration with cross-functional teams and staying updated on AI/ML trends. | — | 5 |
| Data Owner Lead - Data Management Operations - Vice President This role focuses on data management and governance within an enterprise setting, emphasizing the delivery of data products and leveraging AI/ML tooling to automate governance activities. The primary focus is on data preparation and curation for analytical and ML use cases, rather than direct AI model development. | — | 5 |
| AWS Lead Software Engineer-Full Stack/Java/React/Spring/CoPilot/Claude Lead Software Engineer for a full-stack Java/React/Spring application on AWS, focusing on enhancing and delivering technology products. The role involves designing, developing, and troubleshooting software solutions, reviewing code, identifying automation opportunities, leading vendor evaluations, and contributing to engineering communities of practice. Requires experience in SDLC, agile methodologies, monitoring tools, and the financial services industry. Experience with AI technologies like Claude or CoPilot is preferred. | — | 5 |
| VP - Wholesale Portfolio Analytics - Grading This role focuses on developing and maintaining credit risk grading models and frameworks for Wholesale Credit Risk clients. It involves quantitative work, methodology design, data pipeline development using Python, and applying LLMs to synthesize unstructured data for model development. The role also requires translating analytical findings for senior leadership and regulators, and partnering with technology and control teams. | DataAgent | 5 |
| Valuation Controller - Illiquid Credit This role is for a Valuation Controller in the financial sector, focusing on applying data science and AI/ML to ensure accurate pricing and robust controls for complex financial products, particularly illiquid credit. The responsibilities include developing analytics, building monitoring tools, and exploring new data sources and techniques to enhance valuation control and meet regulatory standards. | — | 5 |
| Lead Software Engineer - Java/Python - Learn AI / LLM Lead Software Engineer with a focus on full-stack development using Python, Java, and AI/LLM tools to build and enhance applications supporting the investment management cycle in the Asset and Wealth management line of business at JPMorgan Chase. The role involves working closely with portfolio managers, developing functional specifications, and contributing to technology modernization initiatives. | Ship | 5 |
| Tech Risk and Controls Lead - Data Strategy and Controls - GT CDAO This role focuses on managing risks and controls related to data and AI within a financial institution. It involves identifying, assessing, and mitigating compliance, operational, and data-related risks, ensuring effective governance processes, and partnering with various stakeholders to report on the technology and data risk posture. The role requires expertise in risk management frameworks, data governance, and control execution within a regulated environment. | — | 5 |
| Lead Software Engineer Lead Software Engineer at JPMorgan Chase focused on building prototypes using AI agents and emerging technologies, defining ML platform standards, and accelerating prototyping with pair programming agents. The role involves full SDLC, microservices development, and potentially MLOps and Agentic AI architecture. | Agent | 5 |
| Sr Principal Software Engineer – Deposits Technology Senior Principal Software Engineer focused on Deposits Technology, providing deep engineering expertise to enhance, build, and deliver technology products. The role involves leading strategic development, creating novel code solutions, and driving adoption of technical methods, with a strong emphasis on Agentic AI and related technologies. | Agent | 5 |
| Software Engineer III – AI & Intelligent Workflow Engineering (Monday.com, Fullstack ReactJS, Java, Python, AWS) Software Engineer III at JPMorgan Chase focusing on AI-enabled and intelligent automation capabilities within enterprise workflows, particularly using Monday.com. The role involves designing, developing, and integrating AI features into existing platforms, applying engineering best practices, and ensuring reliability, governance, and observability. | Agent | 5 |
| Python Engineer, Senior Associate JPMorgan Chase (55ip) is seeking a Senior Associate Python Engineer to join their Quantitative R&D team. The role involves developing and growing a quant platform for historical and forward-looking simulations, backtesting, and machine learning. The engineer will work with quant teams to design and implement scalable cloud-native solutions, focusing on full-stack development with Python, AWS, and related technologies. Responsibilities include building high-performance web applications, producing architectural diagrams, participating in agile development, and ensuring code quality. | Data | 5 |
| Quantitative Analytics Associate - Fraud Prevention Optimization Strategy Quantitative Analytics Associate focused on fraud prevention optimization within a financial institution. The role involves complex data analysis, strategy development, and leveraging advanced analytics, including large language models, to reduce fraud losses and improve customer experience. Requires strong quantitative skills, Python/SAS/SQL proficiency, and experience delivering recommendations to leadership. | Ship | 5 |
| Senior Lead Software Engineer, Cloud Platforms Senior Lead Software Engineer on the Corporate AI and Machine Learning Data Platforms team, focusing on designing and delivering secure, high-quality cloud platforms. The role involves developing cloud-based products, enhancing productivity, and enabling responsible innovation by leveraging AI/ML. Key responsibilities include technical leadership, designing cloud infrastructure, driving DevEx and CI/CD adoption, evaluating tooling, implementing telemetry, and standardizing AI-assisted coding tools. The role also contributes to the design and development of AI agents and MCP integrations. | Agent | 5 |
| Quantitative Analytics Associate - Fraud Prevention Optimization Strategy Quantitative Analytics Associate focused on fraud prevention optimization within a financial institution. The role involves complex data analysis, strategy development, and leveraging advanced analytics, including large language models, to reduce fraud losses and improve customer experience. Requires strong quantitative skills, Python/SAS/SQL proficiency, and experience delivering recommendations to leadership. | Ship | 5 |
| Principal Software Engineer, Cloud Platform This role focuses on building and optimizing cloud platforms that support data and AI initiatives within JPMorgan Chase. The Principal Software Engineer will lead technical direction for cloud platform engineering, focusing on secure, scalable, and reliable infrastructure. Key responsibilities include driving DevEx, CI/CD, evaluating tooling, implementing telemetry, and standardizing AI-assisted coding tools and AI agents for platform automation. While the role supports AI/ML initiatives and leverages AI tools, its core craft is cloud platform engineering, not direct AI/ML model development. | — | 5 |
| Lead Software Engineer - MLIO Virtual Conversation assist Lead Software Engineer for MLIO Virtual Conversation assist, focusing on integrating and deploying LLMs, managing API calls, streaming responses, and understanding performance and quality evaluation. The role involves prompt engineering, leveraging AWS services like Bedrock, and familiarity with Agentic AI concepts within a fintech environment. | Agent | 5 |
| Principal Software Engineer – Performance Engineering Principal Software Engineer focused on performance engineering for distributed systems in a financial institution. Responsibilities include defining NFRs/SLOs, scaling automated performance testing, driving resiliency, and applying AI/LLMs to enhance testing and reporting processes. | Serve | 5 |
| Senior Associate, Data Scientist – Global Real Estate Design & Construction Senior Associate, Data Scientist role focused on applying statistical modeling, machine learning, and data analysis to real estate and project delivery problems within JPMorgan Chase's Global Real Estate Design & Construction team. The role involves designing and deploying analytics solutions, improving project delivery, capital planning, and workplace experience, and communicating insights through data storytelling. Requires a Master's or PhD in a quantitative field and experience with statistical software like SAS, Python, and R. | — | 5 |
| Strategic Analytics - Senior Associate This role focuses on developing and implementing data-driven strategies and business rules to reduce digital fraud losses in fintech. It involves analyzing large datasets, monitoring fraud trends, and collaborating with cross-functional teams to build fraud-fighting products. While it leverages machine learning, the primary output is a product/strategy to combat fraud, not the ML models themselves. | Ship | 5 |
| Principal Software Engineer Principal Software Engineer at JPMorgan Chase focused on building and enhancing Java frameworks using Spring Boot, with a strong emphasis on integrating AI solutions, RAG, and applied AI into enterprise products. The role involves architectural design, technical leadership, and driving innovation with cutting-edge technologies in a secure and scalable manner. | Agent | 5 |
| Senior Lead Software Engineer - Data / Machine Learning Operations Senior Lead Software Engineer focused on Data/Machine Learning Operations within a financial services firm. The role involves designing, developing, and deploying large-scale cloud solutions, migrating legacy applications, and creating tools for automation and monitoring. Requires strong software engineering skills, cloud expertise, and good knowledge of ML modeling as an engineer. | Data | 5 |
| DevOps - Lead Software Engineer Lead Software Engineer focused on the reliability, scalability, and automation of AI-powered applications and infrastructure, including AIOps, intelligent alerting, and observability. | Serve | 5 |
| Data Scientist – Fraud Strategic Analytics Associate This role involves developing and implementing fraud detection strategies and rules using data analytics and potentially machine learning models within a digital banking environment. The focus is on creating end-to-end solutions, working with cloud-native microservices, and ensuring compliance with regulations. The role supports fraud product, operations, and financial crime prevention, aiming to optimize detection and improve customer experience. | Ship | 5 |
| AI/ML Capabilities – Associate, APAC Chief & Data Analytics Office JPMorgan Chase is seeking an Associate in AI/ML Capabilities for their APAC Chief & Data Analytics Office. This role supports the building, enhancement, and scaling of AI/ML platforms and tools, assisting in the development, testing, and deployment of AI/ML solutions. The position requires a foundational understanding of AI/ML concepts and experience supporting AI/ML platforms, with a focus on adhering to data & AI risk and control, and regulatory requirements within the financial services industry. | Serve | 5 |
| Sr Lead Software Engineer - Java FS with React, AI Senior Lead Software Engineer focused on Java full-stack development with React, leveraging AI-assisted coding tools and prompt engineering to enhance development workflows and productivity within an enterprise environment. | — | 5 |
| Quant Analytics Associate This role leverages data governance, predictive analytics, data science, and machine learning to support strategic initiatives in Collections and Recovery Operations within a financial services division. The associate will analyze data, monitor trends, and implement strategies to enhance performance and manage expenses, utilizing programming languages and visualization tools. | Data | 5 |
| Lead Software Engineer Speech App Frontend - JavaScript, Typescript, AI Lead Software Engineer for Speech App Frontend at JPMorgan Chase, focusing on integrating generative AI into internal applications to boost employee productivity. The role involves designing and implementing React-based user interfaces, collaborating with cross-functional teams, and ensuring code quality and performance. | Ship | 5 |
| Payments Business Transformation- Data Scientist Lead - Vice President Lead Data Scientist role focused on payments transformation, driving business insights through data analysis, automated reporting, and product analytics. The role involves quantitative analysis, data wrangling, visualization, and supporting ML algorithm prototyping within a fintech domain. It requires strong SQL, data visualization tools, and consulting skills, with a preference for ML techniques and financial services experience. | Data | 5 |
| Associate Software Engineer – Software Defined Networking This role is for an Associate Software Engineer focused on a software-defined networking platform. The engineer will contribute to the design and implementation of core platform components, write production-quality code, and apply knowledge of distributed algorithms. A key aspect of the role involves using AI-assisted tooling for research, prototyping, and code generation, as well as conducting research into emerging networking technologies and documenting findings. The role requires a degree in a technical field, experience in software engineering or related areas, and foundational knowledge of networking and distributed systems. While AI tools are used, the core focus is on networking infrastructure, not AI model development. | — | 5 |
| Wholesale Credit Portfolio Analytics - Analyst This role supports the development and enhancement of credit risk grading models and frameworks for Wholesale Credit Risk. It involves quantitative work, model methodology, data preparation, building Python pipelines for analytics, and applying LLMs to synthesize unstructured data. The goal is to enhance credit risk assessments and identify concentration risks. | Data | 5 |