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 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 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 |
|---|---|---|
| Principal Technical Program Manager- AI/ML- Payments This role is for a Principal Technical Program Manager to lead the end-to-end delivery of a Large Payments Model (LPM), a domain-specific foundation model trained on structured payments data for prediction and classification tasks within JPMorgan Chase's Payments Technology Team. The role involves coordinating Applied AI/ML, engineering, data pipelines, and governance/controls to ensure successful training, serving, integration, and adoption of the model. | Post-trainServe | 7 |
| Lead Software Engineer-AI Lead Software Engineer focused on building and shipping production-grade, multi-agent AI systems for automating the software delivery pipeline at enterprise scale. The role emphasizes end-to-end ownership of agent capabilities, with a focus on reliability, evaluation, observability, and cost-per-session. This is an engineering role focused on production systems, not research. |
| 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 |
| Risk Management - Firmwide Reputation Risk - Vice President This role focuses on developing and deploying AI/GenAI solutions within a financial services risk management context, specifically for reputation risk. The VP will help set the AI strategy, build and scale AI products, and integrate AI trends into risk management workflows, with experience in language models, prompt engineering, and fine-tuning being crucial. | Agent | 7 |
| Director of Software Engineering Director of Software Engineering at JPMorgan Chase, leading technical areas and promoting impact across teams. Focuses on identifying and evaluating AI-powered capabilities, driving technical vision, and overseeing the delivery of solutions. Responsible for setting direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, including establishing guardrails and applying AI tools in software development. Manages technology teams and influences stakeholders. | 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 |
| Cyber Intelligence Senior Associate, Threat Intelligence This role focuses on engineering AI-powered threat research systems and applying frontier AI capabilities to discover and analyze cyber threats, accelerating threat research and risk assessment within an enterprise environment. It involves data acumen, automation, and validation of AI outputs. | DataAgent | 7 |
| Lead Software Engineer - Fullstack Java/AWS/AI/ML Lead Software Engineer role focused on full-stack development (Java/Python/JS) with a strong emphasis on integrating and deploying AI/ML models, including edge deployment. The role involves building, training, fine-tuning, and optimizing models, managing their lifecycle, and deploying them on AWS infrastructure. It also requires driving team adoption of AI-assisted engineering practices and ensuring responsible AI use within development workflows. | ServePost-train | 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 |
| Applied AI ML [Multiple Positions Available] This role involves applying statistical and machine learning methodologies, including causal inference, to solve business problems within a fintech domain. The individual will perform quantitative analysis, build and deploy prototype solutions, and mentor junior team members. A PhD or Master's degree with relevant experience is required, along with expertise in various analytical methods and programming languages like R. | Post-train | 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 |
| E-Markets [Multiple Positions Available] This role focuses on managing and optimizing electronic credit trading algorithms, involving price delivery, risk management, and data analytics. It requires experience in developing event-oriented processing engines, performing predictive modeling with deep learning methods (RNNs, LSTMs), and data analysis using various tools like Java, Python, kdb, SQL, and Tableau. The goal is to improve trading operations, manage risks, and provide solutions for clients' trading strategies within a fintech environment. | Serve | 7 |
| Director of Software Engineering Director of Software Engineering to lead technology and process implementations, focusing on agentic AI-enabled engineering and SDLC/TLM automation. The role involves setting direction, governance, and driving adoption of AI practices across teams, ensuring responsible AI use, security, and scalability within enterprise workflows. | Agent | 7 |
| Data Science Senior Associate - Card Data & Analytics team Develops and implements AI/ML solutions, including GenAI and LLM-enabled applications, for the Credit Card business, focusing on driving data science and analytics strategies and delivering actionable insights. | AgentPost-train | 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 / Java - AI -Markets Technology, Credit Pre-Trade Technology Lead Software Engineer role focused on building and supporting AI-native systems to enhance eTrading capabilities within JPMorgan Chase's Credit Pre-Trade Technology team. The role involves designing, developing, and troubleshooting critical technology solutions, with a strong emphasis on leveraging AI for trading platforms and modernizing existing systems. It requires hands-on experience with AI components, cloud services, and agile methodologies, and involves direct collaboration with business partners. | ServeAgent | 7 |
| Sr Director of Software Engineering Senior Director of Software Engineering to lead multiple technical areas and departments, driving the adoption and implementation of agentic AI-enabled engineering and SDLC/TLM automation within a financial services context. The role focuses on setting and scaling strategy, establishing governance, and ensuring responsible AI practices. | Agent | 7 |
| Data Scientist [Multiple Positions Available] This role focuses on building and managing reports, dashboards, and analytical tools, migrating to cloud architectures, and leading the design, prototyping, and strategy for advanced modeling, predictive analytics, and generative AI solutions for Merchant Services. It involves orchestrating AI agent systems, developing BI products using generative AI and LLMs, prompt engineering, fine-tuning, and RAG, as well as designing statistical and dynamic pricing models. The role also includes product pricing strategy, profitability analysis, and modeling network fee impacts. | Agent | 7 |
| Legal GenAI Enablement - AI Practitioner - Senior Associate This role focuses on building and shipping Generative AI solutions, specifically no-code Assistants, Skills, and workflows, for the Legal department using the firm's LLM Suite platform. The practitioner will work closely with attorneys to understand workflows, design, prototype, and iterate on solutions, ensuring they are shepherded through governance into production. The role emphasizes practical application of the Generative AI stack, prompt engineering, and contributing to a reusable component library, rather than deep data science or full-stack engineering. | Agent | 7 |
| Senior Director of Software Engineering - Trust & Security Senior Director of Software Engineering to lead multiple technical areas and departments, focusing on identity, authentication, and customer access technology. The role involves driving the adoption and implementation of AI and automation for CIAM modernization, password-less adoption, and developer productivity. Key responsibilities include setting strategy for agentic AI-enabled engineering, defining agentic capabilities for CIAM use cases, and ensuring safety, guardrails, and auditability. Requires extensive experience in leading large teams, cloud-native technologies (AWS), IAM standards, and deep understanding of responsible AI risk and controls. | Agent | 7 |
| Data Scientist Lead - Payments Lead Data Scientist role focused on building GenAI applications, virtual assistants, and workflow automations using multi-agent AI patterns within the Payments domain. Responsibilities include translating business problems into AI solutions, designing prompts, and driving iterative development and production monitoring of agentic solutions. | Agent | 7 |
| Data Scientist [Multiple Positions Available] This role focuses on designing, developing, and deploying machine learning models for security platforms, specifically for enforcing least privilege access. It involves data processing, feature engineering, MLOps, production deployment, and ensuring compliance with security requirements within an AWS environment. | ServeData | 7 |
| Lead Software Engineer - AI Developer Lead Software Engineer for AI Developer role at JPMorgan Chase, focusing on building conversational AI applications using RAG architectures, AI orchestration frameworks, and prompt engineering. Requires strong programming skills in Java, Python, or Node.js, and experience with AWS services and CI/CD. | Agent | 7 |
| Lead Software Engineer - AI Developer Lead Software Engineer for AI Developer role at JPMorgan Chase, focusing on building conversational AI applications using RAG architectures and AI orchestration frameworks. Requires strong proficiency in Java, Python, or Node.js, AWS services, and prompt engineering. | Agent | 7 |
| Image Applied AI ML Director Executive Director to architect and operationalize the AI strategy for Image as a Service, focusing on improving engineering efficiency, standardizing solutions, and institutionalizing responsible AI practices. The role involves leading the development of an infrastructure digital twin and establishing a use case governance framework. | Agent | 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 |
| Risk Management - Quant Modeling Director - Executive Director Lead the validation and risk governance of marketing machine learning models used across Consumer and Community Banking (CCB) at JPMorgan Chase. This role involves evaluating model soundness, assessing assumptions, ensuring testing completeness, and designing experiments to quantify model risk and limitations. The position also requires managing a team, collaborating with various stakeholders including regulators, and staying current with advanced AI/ML techniques. | ShipPost-train | 7 |
| Lead Software Engineer - Databricks/PySpark/AI Lead Software Engineer responsible for building and optimizing data pipelines, retrieval systems, and tool integrations to power agentic AI systems. Focuses on data infrastructure, production code, and mentoring junior engineers. | Agent | 7 |
| Lead Software Engineer - Java, AI, AWS Lead Software Engineer role focused on designing, developing, and implementing AI and data engineering solutions, including Agentic AI systems, within a financial technology context. The role involves integrating AI models and autonomous agents into production systems using Java and AWS, with a strong emphasis on secure, stable, and scalable development. | AgentData | 7 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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-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 |
| 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 |
| 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 |
| Chase Modeling - Applied AI ML Senior Associate Senior Associate role focused on applied AI and quantitative modeling within the Consumer Business Modeling team at JPMorgan Chase. The role involves contributing to the full modeling lifecycle, from defining objectives to developing and communicating results using advanced analytics on large-scale consumer data. Requires an advanced degree in a quantitative field and experience in developing machine learning, optimization, or statistical models. | Ship | 7 |
| Chase Modeling - Applied AI Modeling Lead - Vice President Lead the development and deployment of AI/ML models for financial services, focusing on retail, credit card, home, auto lending, and wealth management. This role involves end-to-end project leadership, stakeholder management, and ensuring regulatory compliance. | Ship | 7 |
| Data Domain Architect Lead Lead a team of data analysts to support data annotation and labeling for machine learning models in a fintech domain. This involves developing strategies for training data optimization, identifying patterns in conversational data using NLP, and evaluating the quality of ML outputs. Requires experience in ML data annotation, data modeling, and Python. | Data | 7 |
| Compliance - Surveillance Lead - Vice President Lead the end-to-end lifecycle of AI and ML models for trade surveillance, driving strategic enhancements and innovation using advanced analytics, machine learning, and LLMs. This role involves model development, deployment, monitoring, recalibration, and leveraging GenAI/LLM tools to optimize surveillance processes and operational efficiencies within a regulated financial environment. | AgentServe | 7 |