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 |
|---|---|---|
| Applied AI ML-Senior Associate As an Applied AI/ML Senior Associate in the AI for Operations organization at JPMorgan Chase, this role focuses on designing, building, and scaling cutting-edge Natural Language Processing (NLP) solutions to improve customer and internal agent experiences within the Consumer & Community Banking division. The role involves applying LLM-based methods and advanced analytics to solve complex business problems, working across the full model lifecycle from defining objectives to production deployment, and contributing to operational workflows through intelligent search, summarization, classification, and next-best-action recommendations. | Agent | 8 |
| Generative AI - Senior Associate This role focuses on designing, building, and supporting production generative AI products and reusable backend APIs within a large enterprise. It involves combining enterprise data with LLMs and multimodal models to deliver scalable, measurable solutions, collaborating with ML, cloud, and SRE teams, and ensuring reliability, performance, and operational controls. The role emphasizes hands-on engineering, real-world constraints, and high-impact delivery. |
| ShipServe |
| 8 |
| Principal Software Engineer Principal Software Engineer at JPMorgan Chase focused on designing, implementing, and scaling AI/ML infrastructure and platforms on AWS. The role involves collaborating with teams, developing and optimizing ML models, leveraging Databricks, and leading the productionalization of Gen AI use cases. Requires strong experience in AI/ML engineering, LLM Ops, model serving, and fine-tuning. | ServePost-train | 8 |
| Lead Software Engineer Lead Software Engineer for JPMorgan Chase's Consumer & Community Banking division, focusing on designing and building critical technology solutions for Chase AI components like Chase Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance. The role involves creating secure, high-quality production code, executing software solutions, producing architecture and design artifacts, and troubleshooting complex problems. Key responsibilities include adopting new technologies for agentic solutions, collaborating with cross-functional teams, leading code reviews, mentoring junior engineers, and ensuring compliance with security, privacy, and regulatory requirements. Requires hands-on experience building agentic systems using LLMs/SLMs, proficiency in Java/Python, experience with Spring AI or Python frameworks, AWS, and understanding of LLM patterns like function calling, RAG, and safety guardrails. | Agent | 8 |
| Principal Software Engineer Principal AI/ML and Gen AI Engineer at JPMorgan Chase focused on scaling AI/ML infrastructure and platforms for model serving and fine-tuning, with expertise in LLM Ops and productionalizing Gen AI use cases on AWS and Databricks. | ServePost-train | 8 |
| Senior Associate -Applied AI Data Scientist Senior Associate role focused on building and scaling production LLM agents for finance workflows, involving RAG, tool use, multi-step reasoning, evaluation frameworks, guardrails, and MLOps practices on cloud platforms. | Agent | 8 |
| Applied AI/ML - Vice President This role focuses on applying AI/ML and GenAI solutions within the Home Lending sector of JPMorgan Chase. The Lead will design, develop, and deploy AI/ML/GenAI solutions, including LLMs, RAG, NLP, and AI Agents, and build MLOps/LLMOps pipelines on cloud platforms. The role requires extensive experience in applied AI/ML engineering, production deployment, and proficiency with ML frameworks and cloud technologies. | AgentServe | 8 |
| Applied AIML & Gen AI Executive Director - Machine Learning Center of Excellence JPMorgan Chase's Chief Data & Analytics Office is seeking an Executive Director to lead Machine Learning initiatives. This role involves applying advanced ML techniques (NLP, speech, time series, RL, recommendations) to real-world problems, collaborating with cross-functional teams to deploy solutions, and developing large-scale frameworks for ML model application across the business. The position requires a strong background in ML/DL, experimental design, and communication skills, with a focus on production deployment within a regulated financial environment. | Ship | 8 |
| AI/ML Engineer – Agentic Private Bank Engineer , Vice President Lead the development and implementation of GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes within JPMorgan Chase's Private Bank. This role involves designing, deploying, and managing prompt-based models on LLMs, conducting research on prompt engineering, and building data pipelines and evaluation frameworks for these models on cloud platforms. | Agent | 8 |
| AWM Risk Analytics Group – Data Scientist - Vice President Vice President Data Scientist role in JPMorgan's Asset & Wealth Management Risk Analytics Group, focusing on developing and deploying advanced AI/ML and LLM solutions for risk management. Responsibilities include identifying use cases, leading model development (pre-training, fine-tuning, optimization), prompt engineering, quantization, evaluation, and collaborating on model serving systems. Requires strong Python, SQL, R, PyTorch/TensorFlow, AWS, and NLP/LLM experience, with frameworks like LangChain/LangGraph/AutoGen. | Post-trainServe | 8 |
| Applied AI ML Director Machine Learning Center of Excellence Director role focused on applying sophisticated machine learning methods (NLP, speech, time series, RL, recommendation systems) to real-world problems within a financial services context. The role involves research, model development, collaboration with business and technology partners, and deploying solutions into production. Emphasis on deep learning expertise, analytical thinking, and driving firm-wide ML initiatives. | ShipPost-train | 8 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| AWS Lead Software Engineer - Python, Terraform, and AI Lead Software Engineer on the AI/ML & Data Platforms team, focusing on building AI agents to enhance the software development lifecycle, designing secure Data Lake solutions in AWS, and optimizing deployment processes with Terraform and Python. | Agent | 7 |
| AI ML Engineering Analyst AI/ML Engineer role focused on designing, implementing, and deploying AI/ML services for Wholesale Payments Operations. The role involves applying AI/ML techniques for NLP and document understanding, prompt engineering, and designing agentic systems, with a strong emphasis on production-grade solutions and cloud infrastructure. | AgentServe | 7 |
| Sr Director of Infra Engineering-Advanced Capability Engineering for Mainframe Midrange Compute Platforms Senior Director role leading the application of AI, specifically agentic and automation-driven solutions, to transform the management and operation of Mainframe and Midrange Compute platforms within a financial services company. The role involves defining AI strategy, building and scaling an engineering team, implementing agentic AI solutions for infrastructure automation, and ensuring alignment with risk, security, and regulatory requirements. | Agent | 7 |
| Data Scientist Executive Director – Card Data & Analytics, Customer & Strategic Analytics Executive Director Data Scientist at JPMorgan Chase leading a team focused on AI, machine learning, and advanced analytics for the Card business. The role involves defining AI strategy, delivering AI/ML solutions from ideation to production, supporting customer experience, driving experimentation, and leading a team of analytics professionals. Requires strong leadership, technical depth, and business acumen, with a focus on driving measurable business impact and competitive advantage. | ShipAgent | 7 |
| AWM: Investment Research, AI and Automation Associate This role involves translating business objectives into AI-powered technical solutions for investment research. The associate will own the full solution lifecycle, from requirements gathering to shipping production services and iterating on them. Key responsibilities include building systems that surface insights from various data sources using LLMs, Generative AI, agentic systems, and AWS. The role emphasizes practical business impact and collaboration with business and technology partners. | AgentServe | 7 |