JPMorgan Chase
Banking · Banking
- HQ
- New York City, US
- Founded
- 2000
- Size
- 270,000+
- Website
- jpmorganchase.com
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, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
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).
Banking · Banking
| Title | Stage | AI score |
|---|---|---|
| Software Engineering III - AMDP Software Engineering III role focused on Site Reliability Engineering for AI/ML Data Platforms at JPMorgan Chase. Responsibilities include building and supporting scalable, resilient data solutions, troubleshooting, incident management, root cause analysis, and implementing production changes. Requires proficiency in SRE principles, observability tools, Python/PySpark, and system design. Experience with Databricks, Snowflake, and AWS is preferred. | Serve | 5 |
| Asia Regional Integrated Content Manager, Private Bank - Vice President This role focuses on building and scaling AI-enabled content workflows within a regulated financial services environment. The primary goal is to improve the speed, quality, and consistency of content delivery across Asia for the Private Bank. The role involves setting editorial standards, establishing governance, and implementing AI-assisted content processes with strong controls and measurement. | — |
| 5 |
| Product Manager - Marketing Automation Platforms Product Manager role focused on driving adoption of AI technologies, including prompt engineering and AI use case assessments, within a financial services context. The role involves product ownership of AI-driven platforms, integration of AI solutions, and ensuring compliance with regulations. | Agent | 5 |
| Principal Software Engineer - Executive Director This role focuses on building platforms and shared services for AI Governance Engineering within a financial institution. The primary goal is to enable teams to develop, deploy, and operate AI/ML solutions with integrated compliance and governance, emphasizing security, reliability, auditability, and responsible AI. The role involves architecting and building governance-by-design platforms, developing reusable services and APIs, creating developer-first tooling, integrating controls into CI/CD pipelines, and implementing observability for governance platforms. It's a senior engineering role with technical leadership responsibilities. | Eval GateShip | 5 |
| 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 |
| ICB Data Control Manager Manager role focused on AI/ML governance, data control, and operational risk within a financial institution. The role involves overseeing risk, ensuring compliance, and managing projects related to AI/ML, particularly LLMs and Generative AI, within the International Consumer Business. | — | 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 |
| J.P. Morgan Wealth Management - Vice President Product Owner Product Owner for a Wealth Management Self-Directed Invest Account Opening team, focusing on defining vision, strategy, and execution of digital account opening experiences. The role emphasizes leveraging AI tools for accelerating product delivery, building AI-powered knowledge repositories, and driving data-informed prioritization. | — | 5 |
| Product Manager - R&D - Data Scientist Lead Product Manager role focused on R&D for a client data platform within JPMorgan Chase's Commercial & Investment Bank. The role involves exploring and developing innovative data solutions, piloting cutting-edge technologies, identifying trends, and fostering experimentation. It requires managing R&D initiatives, collaborating with cross-functional teams, and driving CRM transformation. While AI is mentioned as part of the Data, Digital and AI group, the core responsibilities focus on R&D management, data solutions, and business outcomes rather than direct AI/ML model development or deployment. | — | 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 |
| CCB Risk AI-Enablement Vice President This role is a Vice President of AI Enablement within the CCB Risk AI portfolio at JPMorgan Chase. The primary focus is on leading programs and initiatives, partnering with stakeholders to understand business workflows, ideate solutions, build roadmaps, and drive delivery from concept to implementation. While the role involves supporting GenAI adoption and working with technical teams on solutions, it is not a hands-on AI/ML development role but rather a product/program management function focused on enabling and scaling AI within the risk domain. | — | 5 |
| Applied Artificial Intelligence & Machine Learning - Project Management Associate The role is a Project Management Associate within JPMorgan Chase's Corporate & Investment Bank, specifically focused on the Applied AI-ML for Payments group. The primary responsibility is to manage the portfolio of AI/ML projects, ensuring alignment with strategic goals, defining governance, managing the execution lifecycle, and tracking progress. While the group develops and deploys AI/ML solutions, this role is focused on project management and operational aspects rather than direct AI/ML model development or research. | — | 5 |
| Vice President - Data & AI Business Adoption This role focuses on driving the adoption of a data and AI platform within JPMorgan Chase by identifying and prioritizing high-impact use cases, collaborating with business and product stakeholders, and ensuring a smooth handover to customer success and product teams. The role requires a strong understanding of data and AI concepts, including GenAI and agentic AI patterns, and the ability to translate business needs into data/AI solutions. | — | 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 |
| Strategy & Analytics for Business Growth- Vice President Vice President on the Global Banking Intelligence & Growth Strategy team focused on advancing revenue growth by integrating internal data, external market intelligence, and advanced analytical techniques, including AI and LLMs, to identify opportunities and shape strategic priorities. | — | 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 |
| Senior Legal Counsel - Technology and Intellectual Property Legal Team Senior Legal Counsel specializing in Technology and Intellectual Property, with a focus on structuring and drafting IP terms for technology agreements and providing specialized support for Generative AI platforms within a financial services context. | — | 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 |
| Compliance Management Lead - Vice President This role is for a Vice President in JPMorgan Chase's Data & AI CCOR team, focusing on independent second-line coverage of AI initiatives. The primary responsibility is to ensure appropriate governance and controls for the safe scaling and adoption of AI across the firm, including alignment with policies, guidance, training, and testing. The role also involves supporting regulatory supervision (e.g., EU AI Act) and managing operational, compliance, and conduct risks associated with AI implementation. | — | 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 |
| VP Data Scientist Lead – Product, Experience and Technology (PXT) Analytics Team Lead a team to define and execute analytics strategy for measuring developer productivity, technology efficiency, and product value, focusing on software delivery and developer workflows, including the impact of generative AI solutions. Responsibilities include building measurement frameworks, dashboards, and models, partnering with leaders, and driving scalable analytics. | Ship | 5 |
| Product Delivery Associate - Data & AI Product Delivery Associate role within JPMorgan Chase's Chief Data and Analytics Office (CDAO). This role focuses on overseeing the strategic direction and execution of firmwide data/ML/AI projects and programs, driving innovation, influencing senior leadership, and ensuring alignment with strategic objectives. Responsibilities include setting strategic direction, overseeing end-to-end execution, leading data management initiatives with a focus on lineage and controls, and developing roadmaps. Requires significant experience in product/project/program management within financial services, familiarity with BCBS regulations, strong leadership, and tech-savviness in data architecture and data flow methodologies. AI/ML development and operations are mentioned as part of the platforms built by the CDAO, but the role itself is product delivery and program management, not direct AI/ML model building. | — | 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 |
| Product Portfolio Operations Manager-Intelligence & Insights This role focuses on building and maintaining AI-powered tooling, insights measurement infrastructure, and customer signal aggregation layers to support product portfolio decision-making. It involves designing insights frameworks, building dashboards, automating operational tasks, surfacing cross-product insights, and owning adoption measurement infrastructure. A key responsibility is designing, building, and maintaining agentic AI systems for anomaly detection, automated briefs, and natural language querying. | Agent | 5 |
| VP Product Manager, AI Automation and Data Quality VP Product Manager to lead AI automation and data quality initiatives within a Data & Analytics organization. The role involves persona-driven discovery, building foundational data capabilities, managing an intake-to-graduation pipeline for pilots, evaluating internal and third-party AI solutions, and driving adoption through enablement and change management. Focus is on improving data quality, recurring reporting, and audience management to enhance analyst productivity and insights. | Ship | 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 |
| Data Strategy and AI Solutions - Vice President This role drives the strategic direction of data and AI initiatives within a large financial institution, focusing on AI and Agent Native data strategy. It involves partnering with various stakeholders (compliance, legal, tech, cybersecurity) to define requirements, develop business/product requirements for engineering teams, and test/design evaluations for LLM and agent outputs. The role also involves creating data artifacts using LLMs and agents, and promoting data culture. It requires experience with AI tooling and LLMs, and familiarity with agile methodologies. | AgentEval Gate | 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 |
| Centralized Research Group - Security & Resiliency Initiative - Vice President This role is for a Vice President in JPMorgan Chase's Centralized Research Group (CRG) supporting the Security & Resiliency Initiative (SRI). The role involves deep research, financial valuations, and preparing pitch books and marketing materials for clients. It integrates advanced AI/LLM methods to craft investment theses and assess opportunities, and applies AI/LLM tools to accelerate research and enhance deliverables. The focus is on identifying risks in strategic supply chains and deploying financing solutions to enhance economic security and operational resilience. | — | 5 |
| Marketing Delivery Lead, Vice President – Web Analytics & Data This role owns the web analytics product strategy, focusing on data collection, analysis, and optimization across digital platforms. It involves defining roadmaps, creating tracking specifications, ensuring data accuracy, managing agency relationships, and interpreting performance data. A key aspect is collaborating with BI and data science teams to scale AI-powered web data solutions, including predictive analytics and automated optimization recommendations. Experience with AI/ML concepts and tools applied to web data is required, as is experience in a regulated industry. | — | 5 |
| Private Bank, Digital Product Manager, Executive Director Lead architect and subject-matter expert for a financial planning engine, focusing on integrating AI for predictive modeling, optimization, and automation within the wealth management domain. This role involves product strategy, stakeholder management, and ensuring compliance with regulations. | Agent | 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 |