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 236 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer [Multiple Positions Available] Software Engineer role at JPMorgan Chase focused on building end-to-end machine learning pipelines, including data ingestion, feature engineering, model training, hyperparameter tuning, and RESTful deployment. The role also involves MLOps practices for model versioning, retraining, validation, governance, and orchestration, as well as deploying and managing AWS infrastructure and building microservices. | DataServe | 7 |
| Marketing Data & Agentic AI Transformation Lead Lead the data strategy and transformation for a marketing automation program using Agentic AI. This role involves defining data architecture, governance, and usage for marketing execution, customer onboarding, and response analytics, aiming to build AI-enabled, self-serve measurement and analytics solutions. | Agent |
| 7 |
| Asset Management- Quantitative Equities Research Analyst - Vice President Quantitative Equity Researcher (VP) at JPMorgan Chase focused on developing novel alpha signals and enhancing return-forecasting models using advanced statistical, econometric, and machine learning techniques, including LLMs and generative AI. The role involves applying these techniques to large datasets, designing research pipelines, building research frameworks, and collaborating with portfolio managers and technology teams to integrate research into production systems. Requires strong Python and SQL skills, and experience with NLP and alternative data for repeatable research. | DataAgent | 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 |
| 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 |
| Vice President, Chase Travel AI & Innovation Product Vice President of Product for Chase Travel AI & Innovation, focusing on integrating AI/ML and Generative AI into travel products to enhance customer experience and streamline operations. Requires strong product management, AI/ML knowledge, and Agile expertise within a financial services context. | Ship | 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 |
| Personalization Product Manager - Vice President Product Manager (VP level) for JPMorgan Chase's Personalization & Customer Insights Team, focusing on ML-powered personalization and next-best-action capabilities. The role involves driving strategy and execution for LLM/ML models, agentic solutions, and supporting MDLC infrastructure across various channels. Requires experience in product management, AI-powered product delivery, data products for agentic assistants, and ML-driven personalization. | 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 |
| Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President Quantitative trading firm seeks a VP to research, develop, and deploy mid-frequency systematic trading strategies. Role involves applying statistical modeling and machine learning to financial markets, with a focus on alpha generation, portfolio construction, risk management, and execution. Requires end-to-end ownership from ideation to live trading and performance monitoring. | Post-trainServe | 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 |
| Product Manager, Model Serving – AI/ML Solutions Team Product Manager for an enterprise AI/ML model serving platform, focusing on deployment, inference infrastructure, and lifecycle management. The role involves strategy, roadmap development, backlog management, and collaboration with ML engineers and data scientists to deliver scalable and resilient platform capabilities. | 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 |
| Product Owner - Knowledge Management Product Owner for an AI-powered Knowledge Management system, focusing on improving self-service, reducing contact volumes, and boosting agent productivity through search, conversational experiences, and intelligent content. The role involves defining strategy, prioritizing roadmaps, leading cross-functional teams, and ensuring AI readiness of knowledgebases. Key responsibilities include driving agentic AI use cases, managing enterprise knowledge governance, and partnering with legal, risk, and operations for safe scaling. | AgentData | 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 |
| Product Manager, AI Platform Product Manager for an AI Platform at JPMorgan Chase, focusing on building and scaling a production entity data platform. The role involves owning the end-to-end product lifecycle for resolving millions of organizational records into a single, trusted global universe of entities and producing an arbitrated 'golden profile'. Responsibilities include developing product strategy, managing the product backlog, defining requirements for entity resolution and attribute arbitration, and leading delivery of entity resolution at scale using a balance of deterministic rules and ML-assisted matching. The role also involves introducing AI- and agent-assisted processing patterns and partnering with engineering, applied ML, and other stakeholders. | AgentData | 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 |
| Senior AI Product Manager Product Manager for AI and autonomous agents team focused on automating operations and workflows within Corporate and Investment Bank. Role involves setting strategy, leading researchers and engineers, and managing the product lifecycle for agentic AI pipelines. | Agent | 7 |
| Senior Product Associate -Trust & Security Authentication Platforms and Modeling Product Associate role focused on developing and deploying AI/ML models for authentication and identity verification within a financial institution. The role involves understanding user journeys, identifying opportunities for AI/ML solutions, and translating business requirements into technical solutions using advanced modeling techniques like transformers and graph neural networks. Collaboration with data scientists and engineers is key, as is ensuring model performance, scalability, and compliance. | Agent | 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 |
| 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 |
| Product Director, AI Transformation-Payments-Executive Director Product Director to lead AI Transformation in Payments, focusing on designing the future-state operating model, scaling AI capabilities, identifying client pain points, and driving adoption of AI-enabled workflows. This role requires strong change management, stakeholder alignment, and a practical understanding of GenAI/LLMs and the AI delivery lifecycle within a large enterprise and regulated environment. | ShipAgent | 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 |