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 |
|---|---|---|
| Senior Lead Site Reliability Engineer Senior Lead Site Reliability Engineer role focused on building AI-powered automation systems, intelligent monitoring, and next-generation reliability platforms. The role involves designing and building AI Agents for autonomous operations, integrating various data stores including vector databases, and developing automation scripts. Requires expertise in SRE principles, observability, and AI frameworks like LangChain. | AgentServe | 7 |
| Senior Lead Software Engineer- AI Platform engineer Senior Lead Software Engineer role focused on building and optimizing AI/ML infrastructure platforms within a financial services company. The role involves architecting cloud infrastructure, managing ML workloads, CI/CD pipelines, and collaborating with AI teams to meet computational needs. Requires strong software engineering, Kubernetes, cloud, and foundational ML knowledge. |
| ServeData |
| 7 |
| Lead Software Engineer-AI Platform Engineer Lead Software Engineer focused on building and optimizing AI/ML infrastructure platforms, including cloud deployment, CI/CD pipelines for ML workloads, and collaboration with AI teams to meet computational needs. The role involves developing secure, scalable infrastructure, monitoring resources, and implementing automation. | Serve | 7 |
| Senior Lead Software Engineer- AI Platform engineer Senior Lead Software Engineer focused on building and optimizing AI/ML infrastructure platforms within a large enterprise. The role involves architecting cloud infrastructure, implementing CI/CD for ML workloads, and collaborating with AI teams to meet their computational needs. Requires strong software engineering, cloud, and foundational ML knowledge. | Serve | 7 |
| Data Science Vice President - Card Data Analytics Data Science Vice President at JPMorgan Chase within the Card Data & Analytics team, responsible for developing and implementing AI/ML solutions, including Generative AI and foundation models, to drive strategic initiatives and business impact within the credit card business. The role involves end-to-end problem-solving, from translating business questions to building models and communicating insights. | AgentPost-train | 7 |
| Lead Software Engineer - Senior Python Developer Lead Software Engineer role focused on deploying, monitoring, and managing machine learning models in production. Responsibilities include building infrastructure, automating deployment, optimizing performance, and ensuring the continuous operation of AI systems within a cybersecurity context. Requires expertise in Python, CI/CD, cloud platforms, and containerization. | ServePost-train | 7 |
| Lead Software Engineer - Agentic Lead Software Engineer role focused on building agentic AI systems and LLM-based solutions within a large enterprise. Requires strong software engineering skills, cloud-native experience (AWS), and hands-on experience with LLMs, agent orchestration, tool use, retrieval, and safety mechanisms. Experience with Databricks and modern data pipelines is also expected. | Agent | 7 |
| AI/ML Lead Data Engineer - Automation/Image Processing Lead Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure for processing scanned document images, integrating OCR and computer vision models, and managing data storage on AWS. The role involves collaborating with data scientists and ML engineers, ensuring data quality and governance, and leading a team of data engineers. | DataServe | 7 |
| Lead Software Engineer - DevOps / Full-Stack / MLOps Lead Software Engineer focused on building and maintaining a scalable ML platform for model training, deployment, and monitoring within a cloud-native DevOps environment. The role involves coding infrastructure with Terraform, Python automation, Kubernetes, CI/CD pipelines, and applying agentic AI/LLM capabilities to DevSecOps use cases. | ServeData | 7 |
| WFP Senior Data Scientist Senior Data Scientist at JPMorgan Chase focused on building AI/ML solutions for workforce planning, including demand forecasting, capacity optimization, and scheduling. The role involves framing ambiguous problems, selecting appropriate modeling approaches, and productionizing solutions for real-time inference and decision-making within large-scale operations. | Serve | 7 |
| Lead Software Engineer: Customer Trust Assessment Platform Lead Software Engineer role focused on building a NextGen orchestration platform using AI capabilities, specifically AI Agents, RAG pipelines, and LLM APIs, within the Fraud Technology team at JPMorgan Chase. | Agent | 7 |
| Senior Director of Software Engineering (Data & AI) Senior Director of Software Engineering leading the adoption and scaling of agentic AI-enabled engineering and SDLC/TLM automation within a large enterprise, focusing on responsible AI standards, governance, and operational efficiency. | Agent | 7 |
| Lead Software Engineer - Java/Python/AIML Lead Software Engineer responsible for designing, developing, and deploying enterprise applications and AI/ML-enabled features using Java, Spring Boot, and Python. The role involves full lifecycle development of AI/ML solutions, including integration, orchestration, and evaluation, with a focus on production readiness and scalability within a regulated environment. | Agent | 7 |
| Quantitative Trading & Research – Markets Treasury – Vice President Lead the design and implementation of advanced AI/ML models and tools for risk assessment and P&L prediction in treasury management within an investment bank. Drive strategic initiatives, own large-scale analytics projects, and automate reporting processes, partnering with technology and business stakeholders. Requires strong Python programming, software engineering, and quantitative finance skills. | Serve | 7 |
| AI/LLM Sr Manager of Software Engineering - Java and Python This role is for a Senior Manager of Software Engineering focused on AI/LLM capabilities within the Consumer and Community Banking Core Platform Engineering team. The manager will provide technical coaching and advisory for multiple software engineering teams building AI-enabled capabilities, evolving towards agentic and workflow-based solutions. Responsibilities include leading design and implementation, establishing AI development strategies (LLM integration, evaluation, prompt management, orchestration, safe deployment), managing priorities, driving cloud-native practices on AWS, and promoting strong engineering fundamentals. The role requires experience leading technologists, hands-on experience with Java/Python, and working knowledge of AI/LLM development, including AI coding assistants and enterprise guardrails. | Agent | 7 |
| Sr Lead Software Engineer: Customer Trust Assessment Platform Senior Lead Software Engineer role focused on building a NextGen orchestration platform using advanced AI capabilities, specifically AI agents and RAG pipelines, within the Fraud Technology team at JPMorgan Chase. The role involves technical leadership, secure code development, and leveraging Java & AWS. | Agent | 7 |
| Strategic Analytics - Associate This role focuses on developing and implementing data-driven strategies and machine learning models to prevent digital fraud in fintech. The associate will analyze large datasets, identify trends, reduce losses, and enhance customer experience by collaborating with cross-functional teams and presenting insights to senior leadership. | Agent | 7 |
| Lead Software Engineer - AI/ML Lead Software Engineer focused on building and scaling machine learning platforms and infrastructure at JPMorgan Chase. Responsibilities include designing, developing, and optimizing tools for the end-to-end ML lifecycle, integrating various ML capabilities, and ensuring platform reliability and security. Requires strong software engineering background, experience with ML platforms and MLOps, and Python proficiency. | Serve | 7 |
| Lead Software Engineer - SAP – BTP AI Developer Lead Software Engineer focused on developing and deploying AI-powered solutions within the SAP Business Technology Platform (BTP) ecosystem. The role involves identifying AI use cases, building agentic AI capabilities, implementing solutions like RAG and intelligent document processing, and defining AI adoption frameworks, with a strong emphasis on SAP BTP services and MLOps practices. | AgentData | 7 |
| Applied AI/ML Director - Executive Director Executive Director to lead a team of AI/ML specialists in developing horizontal capabilities (APIs, libraries) for AI hosting platforms within a large bank. The role involves hands-on experience in training and deploying models, leading teams, and ensuring responsible AI engineering practices. | ServePost-train | 7 |
| Lead Software Engineer, Cloud Platforms Lead Software Engineer focused on building cloud platforms that integrate AI agents and LLM-powered tools to enhance developer productivity and automate platform operations. The role involves designing and developing secure, scalable cloud infrastructure, driving DevEx, and implementing AI/ML integrations. | AgentServe | 7 |
| Sr Lead Software Engineer - AI/ML Senior Lead Software Engineer focused on building, scaling, and maintaining robust machine learning platforms and infrastructure. The role involves designing and optimizing tools for the end-to-end ML lifecycle, including data engineering, feature management, model training, deployment, monitoring, and serving. Emphasis on secure, high-quality production code, MLOps practices, and collaboration with data scientists and ML engineers to accelerate ML development and operations within an enterprise environment. | ServeData | 7 |
| Applied AI ML Lead Lead role in designing and delivering AI/ML solutions for data management and governance challenges within a large enterprise. Focuses on building prototypes, collaborating with business and engineering teams, and staying current with AI/ML research. | Agent | 7 |
| Lead Software Engineer - Python, AI/ML Lead Software Engineer role focused on integrating AI/ML techniques, including LLMs, Generative AI, NLP, RAG, and AI evals, into software systems. Requires experience with agentic workflows and frameworks, and managing/mentoring AI/ML teams. The role emphasizes hands-on delivery of production-grade solutions within a fintech domain. | Agent | 7 |
| AI Sr. Principal Cybersecurity Architect Senior Principal Cybersecurity Architect at JPMorgan Chase focusing on developing AI-enabled cybersecurity solutions, products, and models for the Consumer & Community Banking (CCB) line of business. The role involves advising on strategy, translating technical issues, driving adoption of new methods, creating reusable frameworks, and developing architectures for agentic systems, with a strong emphasis on cloud-native security, A2A security, and evaluating emerging technologies. | Agent | 7 |
| Business Intelligence Data Scientist – Sr. Associate - JPMorgan Private Bank This role focuses on building and deploying predictive models and AI-enabled solutions, including LLMs, to drive business strategy and improve sales productivity within the JPMorgan Private Bank. The role involves end-to-end model lifecycle management, from data analysis and prototyping to production deployment and integration with business processes. | Agent | 7 |
| AI, Data foundation & Business Process Solution Lead Lead the implementation of AI agents for campaign automation and optimization, and build foundational AI-ready data systems for marketing transformation in a financial services context. | Agent | 7 |
| Compliance - CCOR Risk Management Director - Executive Director This role provides second-line-of-defense (2LoD) independent oversight for JPMorgan Chase's Chief Data & Analytics Office (CDAO) Product and Platform organization, focusing on Data/AI platforms, model ingestion, agentic systems, and external AI services. The Director will develop and execute review strategies across the AI technical supply chain, ensuring compliance with risk appetite and regulatory expectations. Responsibilities include assessing risks in data flows, integrations, access controls, logging/traceability, and data residency, challenging remediation efforts, and overseeing governance for GenAI and agentic systems. | AgentServe | 7 |
| Applied AI Machine Learning Vice President JPMorgan Chase is seeking an Applied AI Machine Learning Vice President for their International Consumer Bank (ICB) Risk Modelling team in London. The role focuses on developing and managing machine learning models to mitigate identity verification fraud. Responsibilities include defining roadmaps, researching and adopting state-of-the-art and vendor models, ensuring model performance and governance, supporting synthetic data initiatives, and collaborating with various partner teams to meet regulatory requirements. | Agent | 7 |
| AI Platform Engineer, Python - Principal Software Engineer As a Principal Software Engineer at JPMorgan Chase, you will provide expertise and engineering excellence to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will execute creative software solutions, design, development, and technical troubleshooting for AI-enabled applications, create complex and scalable coding frameworks, and develop secure and high-quality production code. You will also advise cross-functional teams, serve as a subject matter expert, and contribute to the development of technical methods. The role requires formal training or certification on software engineering concepts, 7+ years of applied experience, DevOps experience, advanced Python skills, practical cloud-native experience, and experience in Computer Science or a related technical field. Experience with building AI platforms is highly preferred. | Serve | 7 |
| Applied AI ML-Vice President JPMorgan Chase is seeking an Applied AI ML-Vice President to join their Consumer & Community Banking Machine Learning team. This role focuses on applying LLM-based methods to enhance, build, and deliver trusted market-leading technology products. Responsibilities include applying technical judgment, evaluating performance, ensuring solutions are reliable, secure, and scalable, improving data quality, monitoring models in production, and iterating to reduce agent effort and improve operational workflows. The role requires experience in building and scaling software/ML platforms, ML frameworks, ML Ops, AI Agents, tool integration, and RAG-based solutions. | Agent | 7 |
| Intraday Liquidity Management, Senior Associate This role focuses on developing and managing intraday liquidity analytics using AI/ML tools to forecast cash positions and manage limits within JPMorgan Chase's Corporate Treasury. The primary responsibility involves utilizing Python and ML to publish daily forecasts, derive insights from payments data, and maintain a back-testing framework for forecast accuracy. Experience with ML or time-series forecasting in financial workflows is required. | Data | 7 |
| Applied AI ML Lead - Sales Science Lead Applied AI/ML role focused on building and productionizing LLM-based solutions for sales engagement optimization within a financial services context. Requires strong Python, NLP, and deep learning framework expertise, with experience in cloud deployment. | Agent | 7 |
| Credit Portfolio Group – Quantitative Research - Associate Seeking a Quantitative Research Associate to design, build, and deploy AI, LLM, and generative AI agent-based tools for credit portfolio management and trading. The role involves exploring ML techniques for market-making and optimization, leveraging data for opportunities, and automating reporting and hedging strategies. Requires advanced degree, 4+ years of quant experience in fixed income/credit, hands-on AI/ML/LLM application experience in financial markets, Python skills, and strong analytical abilities. | 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 leveraging large consumer datasets to solve complex business problems using the full modeling lifecycle, from defining objectives to communicating results. Requires advanced degree in a quantitative field and experience in developing ML, optimization, or statistical models. | Ship | 7 |
| Chase Modeling - Applied AI Modeling Lead (VP) Lead the development and deployment of AI/ML models for financial services, focusing on customer needs in areas like credit card, home lending, and wealth management. This role involves end-to-end project leadership, stakeholder management, and ensuring regulatory compliance. | Ship | 7 |
| Data Scientist - Vice President Lead Data Scientist at JPMorgan Chase within Cybersecurity and Technology Controls, responsible for developing and deploying Machine Learning solutions for security use cases like fraud and threat detection. The role involves data analysis, model development, feature engineering, model governance, and producing secure production code, with a focus on Generative AI, transformer architectures, and responsible AI practices. | AgentPost-train | 7 |
| Software Engineer III - Agentic AI, Java/Python Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, responsible for delivering AI/ML projects through the ML development life cycle using Agile methodology. The role involves transforming business requirements into AI/ML specifications, designing and developing production AI/ML solutions, and creating secure, high-quality production code. Familiarity with agentic workflows and expertise in areas like LLMs, NLP, Knowledge Graph, Computer Vision, Speech Recognition, RL, Ranking/Recommendation, or Time Series Analysis is required. | Agent | 7 |
| Lead Software Engineer - Agentic AI, Java/Python Lead Software Engineer role focused on integrating AI/ML techniques, including LLMs and Generative AI, into production software systems within a financial services context. The role involves leading a team, architecting solutions, and developing secure, scalable AI-driven software. | Agent | 7 |
| Lead Software Engineer - AI/ML Data Platforms - AI Engineer - Python Lead Software Engineer for AI/ML Data Platforms at JPMorgan Chase, focusing on building production-grade AI/ML applications and Generative AI agents. The role involves advancing experiments, developing scalable platforms, and ensuring operational stability, primarily serving AI Research and MLCoE teams within a fintech domain. | AgentData | 7 |
| Risk Management - Quant Modeling Lead - Vice President The Quant Modeling Lead - Vice President role within JPMorgan Chase's Model Risk Governance and Review (MRGR) team focuses on the independent validation and risk governance of forecasting and scoring models, including those using advanced AI/ML techniques, for consumer banking applications. The role involves evaluating model conceptual soundness, performing independent testing, monitoring performance, and liaising with various internal and external stakeholders, including regulators. | Post-train | 7 |
| Applied Artificial Intelligence & Machine Learning- Markets Operations - Vice President Lead the design and delivery of AI/ML solutions for Market Operations at JPMorgan Chase. This role involves managing a team, partnering with business and technology stakeholders, and ensuring the successful implementation and scaling of AI-driven tools. The focus is on developing and deploying production-grade AI/ML applications, establishing best practices for evaluation and monitoring, and driving measurable impact. | ShipAgent | 7 |
| Applied AI ML Lead - ML Ops, CTC ML Ops Engineer role focused on deploying, monitoring, and managing machine learning models in production environments within JPMorgan Chase's Cybersecurity team. Responsibilities include building CI/CD pipelines, optimizing infrastructure, and ensuring reliable and efficient AI system performance. | Serve | 7 |
| Applied AI ML-Senior Associate This role focuses on applying and scaling AI/ML solutions, particularly LLM-based methods and AI Agents, within a financial services context. The engineer will build and scale ML platforms, ensure solutions are reliable and secure, and contribute to production model monitoring and iteration. | Agent | 7 |
| Applied AI/ML Modeling - Executive Director Executive Director leading a team of AI/ML scientists to build and deploy advanced geospatial, graph-based, and network optimization models for branch network strategy. The role involves stakeholder management, translating innovations into production solutions, establishing best practices, and overseeing model validation and monitoring within a regulated financial services environment. | Agent | 7 |
| Applied AI/ML Modeling - Vice President Develop and launch AI/ML models for consumer banking, focusing on retail network optimization, investment, and workforce effectiveness using geospatial AI, graph-based models, and reinforcement learning. This VP-level role requires end-to-end project leadership, stakeholder management, and translating technical outputs for business partners, while ensuring regulatory compliance. | Ship | 7 |
| Applied AI/ML - Vice President JPMorgan Chase is seeking a Vice President to lead the strategic vision and execution of AI/ML and Agentic AI initiatives within their Client 360 Technology Organization. This role involves defining the Data Science agenda, steering modeling and analytical efforts, and collaborating with various business and technology partners to leverage data insights and create business value. The position requires deep data science expertise, strong quantitative skills, and leadership abilities to build and manage global analytical teams. | Agent | 7 |
| Quantitative Trading & Research – Securities Services, Payments and CIB Treasury – Associate/Vice President Quantitative Trading & Research team at JPMorgan Chase seeks an Associate/Vice President to apply AI/ML techniques, including LLMs and sequential decision-making models, to transform business operations in Securities Services, Payments, and CIB Treasury. The role involves end-to-end project management, from data architecture to model development and stakeholder presentations, focusing on revenue growth and efficiency. | AgentPost-train | 7 |
| Machine Learning Engineer - Senior Associate Machine Learning Engineer - Senior Associate at JPMorgan Chase focused on designing, developing, and maintaining AIOps solutions. The role involves integrating AI/ML capabilities, particularly LLM techniques like Agents, Planning, and Reasoning, into software applications. Experience with Ranking, Recommender systems, RAG, and Agent systems is required, along with strong Python programming and cloud platform skills. | Agent | 7 |
| Applied AI/ML - Senior Associate JPMorgan Chase is seeking an Applied AI/ML Senior Associate to analyze business problems, experiment with state-of-the-art models, and develop machine learning and deep learning solutions. The role involves developing end-to-end ML/AutoML/AutoNLP pipelines, operationalizing ML models for use cases like Document Q&A, Search, Information Retrieval, classification, and personalization. The candidate will build batch and real-time prediction pipelines, collaborate with various teams for production deployment, and work with LLMs and Gen AI solutions. | AgentPost-train | 7 |