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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Executive Director-Firmwide AI Data Strategy Executive Director to shape the enterprise AI data strategy, focusing on knowledge representation, ontologies, and data foundations for AI applications at scale within a financial services organization. | Data | 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 |
| Senior AI Product Manager - AI and Agentic Product Strategy Product Manager role focused on defining strategy and delivery for AI-driven products and autonomous agents, leveraging LLMs and agentic orchestration within a large financial institution. Responsibilities include identifying use cases, owning product strategy and roadmaps, leading cross-functional teams, and communicating with senior stakeholders to launch AI-enabled products end-to-end. | Agent | 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 |
| 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 |
| Conversation Designer Vice President This role is for a Conversation Designer Vice President within the Chase Digital Assistant team, focusing on shaping user experience for conversational AI products like chatbots and IVRs. The role involves leading the design of conversational flows, mentoring junior designers, collaborating with ML teams to refine NLU models, and driving the strategic vision for conversational AI in finance. | Post-trainAgent | 7 |
| Senior Associate Product Delivery - Business Enablement This role focuses on the product delivery of AI-driven improvements within client onboarding and service operations in a financial services context. The primary responsibility is to design, evaluate, and deploy AI solutions, with a strong emphasis on establishing quality gates and evaluation frameworks (L5), while also designing the agentic systems and their components (L4). | Eval GateAgent | 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 |
| Senior Director of Software Engineering - AI & Data Senior Director of Software Engineering at JPMorgan Chase leading the enterprise data platform strategy, focusing on data engineering, governance, AI enablement, and agent-based workflow automation. The role involves owning the platform roadmap, ensuring security, compliance, and scalability, and enabling teams to leverage trusted data products and responsible AI. | AgentData | 7 |
| Quantitative Trading & Research – Securities Services, Payments and CIB Treasury - Associate Quantitative Trading & Research team at JPMorgan Chase seeks an Associate/VP to apply AI/ML techniques, including LLMs and sequential decision making, to transform business operations in Securities Services, Payments, and CIB Treasury. The role involves end-to-end project management, from data processing and analysis to model development and presenting commercial recommendations. | AgentPost-train | 7 |
| Quantitative Trading & Research – Global Clearing – Vice President Quantitative Researcher (VP) at JPMorgan Chase focusing on Derivatives Modelling, Financial Engineering, and Data Science to enhance risk and pricing analytics for the Clearing business. The role involves leading the design, delivery, and governance of models, including Initial Margin methodology, and applying machine learning to transform risk management and automation. Responsibilities include end-to-end initiative leadership, model ownership, building and productionizing analytics, and leading ML/AI solution development. | ShipData | 7 |
| Lead Security Engineer - AI/ML Lead Security Engineer focused on AI/ML security, red teaming, and adversarial resilience for generative AI, RAG pipelines, and ML systems within a large enterprise. Responsibilities include developing security strategies, designing secure architectures, reducing vulnerabilities, conducting threat modeling, and implementing AI red teaming methodologies. | AgentEval Gate | 7 |
| Quantitative Trading & Research - Credit - Vice President Seeking a VP to join Credit Quantitative Trading team, leveraging AI/ML to enhance trading strategies and decision-making. The role involves exploring and integrating AI/ML methodologies, developing and deploying models end-to-end in production, and ensuring robustness and scalability. Requires experience in quantitative research, fixed income markets, and AI/ML timeseries models. | ServePost-train | 7 |
| Machine Learning Engineer – Document Digitization (LLMs)-Vice President Machine Learning Engineer (VP) at JPMorgan Chase focused on designing, developing, and deploying AI-powered document digitization solutions using LLMs and generative AI. The role involves managing the end-to-end ML lifecycle, building scalable pipelines on AWS, and ensuring security and compliance within a financial services context. | AgentData | 7 |
| Senior Associate -Applied AI ML -Digital Seeking an AI engineer to develop and productionize NLP models and services for bank operations, focusing on end-to-end projects and scalable data pipelines. | Agent | 7 |
| WFP Lead Data Scientist - Vice President Lead Data Scientist for Workforce Planning at JPMorgan Chase, focusing on developing and deploying AI/ML models for forecasting, capacity planning, and scheduling. The role involves full model lifecycle management, project leadership, stakeholder collaboration, and mentoring junior team members, with an emphasis on moving towards real-time inference and decision-making. | Post-train | 7 |
| Lead Software Engineer - AI/ML Deep Learning & GPU ML Serving Lead Software Engineer focused on AI/ML Deep Learning and GPU ML Serving within a Commercial and Investment Banking team. Responsibilities include designing, developing, and troubleshooting software solutions, writing production code, producing architecture artifacts, analyzing data, and optimizing deep learning models for inference. The role requires experience with ML systems, Python, ML frameworks, cloud technologies (Docker, Kubernetes), ML model serving frameworks, GPU workloads, low-latency systems, and NoSQL databases. Experience with GPU resource management and microservices architecture is also needed. Preferred qualifications include an advanced degree, proficiency in multiple programming languages, experience with graph neural networks, GPU programming, model monitoring, MLOps tools, and serving large-scale models. | Serve | 7 |
| Software Engineer III - AI/ML Deep Learning & GPU ML Serving Software Engineer III at JPMorgan Chase focused on AI/ML Deep Learning and GPU ML Serving. The role involves developing, testing, and troubleshooting software solutions, writing production code, producing architecture artifacts, analyzing data, and optimizing deep learning models for production inference. Key responsibilities include deploying and managing GPU workloads in Kubernetes, building scalable, low-latency systems, and partnering with product teams. Requires formal training/certification, 3+ years of applied experience, proficiency in Python and ML frameworks, experience with cloud technologies (Docker, Kubernetes, EKS), ML model serving frameworks, GPU workloads in Kubernetes, and NoSQL databases. Familiarity with modern microservices architecture and leading large-scale system design is also needed. Preferred qualifications include an MS/PhD, Java proficiency, experience with graph neural networks, GPU programming, model monitoring, MLOps tools, and serving large-scale models. | Serve | 7 |
| Principal Software Engineer - High Performance Computing Principal Software Engineer focused on High-Performance Computing (HPC) to optimize AI/ML model training and inference. The role involves creating scalable coding frameworks, developing production code, advising cross-functional teams, and publishing patterns for ML model optimization on various architectures. Requires deep experience in HPC, accelerators, deep learning (LLMs), and AI/ML frameworks, with a focus on performance and scalability for financial services. | ServeData | 7 |
| AI Analytics Solutions Manager JPMorgan Chase is seeking an AI Analytics Solutions Manager with 6+ years of experience in AI/ML development, GenAI, and LLMs. The role involves hands-on coding for production solutions, owning end-to-end code development, and implementing AI strategies. Requires experience with AI/ML frameworks (TensorFlow, PyTorch), cloud AI services, Python/R, and advanced prompting strategies. Experience with NLP, computer vision, and deploying models in production is preferred. The role focuses on integrating AI technologies, ensuring scalability, performance, security, and implementing technology risk controls within a regulated financial environment. | AgentServe | 7 |
| Executive Director, Agentic AI Strategy - Open Banking Executive Director to lead the strategy and adoption of agentic AI within JPMorgan Chase's Open Banking business unit. This role involves defining the roadmap from experiment to scale, establishing governance frameworks, ensuring responsible deployment in a regulated financial services environment, and driving cross-functional alignment. The focus is on improving speed and customer experience through agentic AI applications. | Agent | 7 |
| Sr Lead Software Engineer - Java & Databricks Senior Lead Software Engineer role focused on developing intelligent agent-based systems and optimizing data pipelines on Databricks, leveraging Java and Python. The role involves designing, training, and deploying AI agents, mentoring team members, and collaborating with cross-functional teams in an enterprise environment with AWS cloud experience. | Agent | 7 |
| Lead Software Engineer Lead Software Engineer role focused on designing and building critical technology solutions for Chase AI components, including agentic systems, using LLMs/SLMs. Requires strong software engineering experience, proficiency in Java/Python, cloud technologies (AWS), API design, and practical understanding of LLM patterns like function calling, RAG, and guardrails. The role emphasizes building secure, high-quality production code and contributing to agentic solutions. | Agent | 7 |
| Lead Software Engineer Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking (CCB) division, responsible for designing and building critical technology solutions across Chase AI components, including Chase Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance. The role requires hands-on experience building agentic systems using LLMs/SLMs and proficiency in various programming languages and cloud technologies. | Agent | 7 |