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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Data Science Senior Associate - Card Data & Analytics team Develop AI/ML solutions for the Credit Card business, focusing on applying foundation models and Generative AI. Responsibilities include defining business problems, scoping solutions, implementing and evaluating GenAI-based methods, and collaborating with stakeholders. Requires experience with GenAI, prompt engineering, and LLM-enabled applications. | AgentPost-train | 7 |
| Sr Lead Software Engineer-Role DS Senior Lead Software Engineer at JPMorgan Chase focused on building and enhancing technology products. The role involves providing technical guidance, developing secure production code, influencing product design, and acting as a subject matter expert. Requires experience in machine learning, NLP, training/fine-tuning LLMs, transformer architectures, and deploying AI systems, with proficiency in Python, TensorFlow, or PyTorch. Experience with scalable distributed systems, cloud-native environments, and security protocols is also necessary. | Post-trainServe | 7 |
| Lead Software Engineer - Python AWS GenAI Lead Software Engineer to build and maintain production-grade ML pipelines and infrastructure at enterprise scale for JPMorgan Chase's MLCOE. This role focuses on designing, developing, and deploying end-to-end ML systems, from data ingestion to serving outputs, with a strong emphasis on AWS services, CI/CD, and performance monitoring. | ServeData | 7 |
| Lead Software Engineer- (Python) Lead Software Engineer role focused on building and deploying production-grade machine learning pipelines and systems at enterprise scale within JPMorgan Chase's ML Center of Excellence. The role involves designing, developing, and maintaining software, engineering data pipelines, feeding data into ML models, and deploying complete systems into production environments with a focus on scalability and reliability. | ServeData | 7 |
| Applied AI ML Lead - Java / Python Lead Applied AI ML role focused on delivering AI/ML solutions, including LLMs and Generative AI, within a financial services enterprise. Requires strong software engineering background in Java/Python and experience with AI/ML techniques. | Agent | 7 |
| AIOps Lead Software Engineer Lead Software Engineer for AIOps and GenAI solutions within a financial services technology team. Focuses on designing, deploying, and automating AI-driven solutions to enhance system reliability, performance, and incident response. Responsibilities include building RAG pipelines, vector databases, LLM integrations, and agentic workflows, while ensuring regulatory compliance and mentoring engineers on AI adoption. | AgentServe | 7 |
| AI Platform Engineer, Python - Lead Software Engineer Lead Software Engineer focused on building and shipping AI-powered features, including prompt design, function calling, and implementing safety guardrails and LLM usage logging. The role involves developing secure, high-quality production code for AI applications and leading evaluation sessions for model capabilities. | AgentEval Gate | 7 |
| Home Lending Data & Analytics – Applied AI/ML Engineer - VP Applied AI/ML Engineer (VP) at JPMorgan Chase, focused on Home Lending Data & Analytics. The role involves designing, implementing, deploying, and scaling AI-powered solutions, with a focus on generative AI technologies, LLMs, RAG, and Agents. Responsibilities include writing production code, fine-tuning models, integrating solutions, and managing the code lifecycle. The role requires a Master's degree and 7+ years of experience in AI/ML and data analytics. | AgentPost-train | 7 |
| Compliance - Applied AI/ML Lead - Vice President Lead Applied AI/ML role focused on developing and deploying models and analytical methods for compliance and risk management within a financial institution. Requires strong experience in Python, R, Scala, machine learning, statistical models, and specifically graph analytics and databases. The role involves data pipeline development, working with structured and unstructured data, and preparing technical documentation for governance review. | Post-trainData | 7 |
| Compliance - Quant Modeling Senior Associate (Fair Lending) - Associate This role focuses on applying quantitative modeling and statistical analysis to ensure fairness and compliance in line-of-business models, including traditional, ML/AI, and Gen AI models, within a regulated financial environment. The primary goal is to detect and mitigate bias to comply with Fair Lending Laws and regulations. | Post-train | 7 |
| Applied AI ML Associate - Payments Operations Associate role focused on developing, deploying, and monitoring machine learning applications and models within the Payments Operations team at JPMorgan Chase. The role involves identifying automation opportunities, processing multimodal data, building ML models, and ensuring their productionization and evaluation, with a strong emphasis on translating business needs into technical solutions and managing projects from inception to production. | Ship | 7 |
| Securitized Products Group - Business AI Strategist - Vice President This role focuses on designing, developing, and implementing AI-based tools, models, and agents to streamline workflows and improve decision-making within the Securitized Products Group at JPMorgan Chase. The strategist will collaborate with various internal partners, lead AI solution adoption, and ensure compliance with regulatory requirements. | Agent | 7 |
| Payments-Digital & Design AI Product Associate Product Associate role at JPMorgan Chase focused on AI-powered payments and digital design products. Responsibilities include supporting product strategy, analyzing performance metrics, collaborating with engineering and data science teams on AI-driven solutions, managing model annotations and evaluations per AI governance policy, and assisting with AI governance activities. Requires experience with AI technologies for search and chatbots, ML, NLP, and analyzing AI performance metrics. | Agent | 6 |
| Technical Product Manager - Payments - Vice President Product Manager at JPMorgan Chase focusing on Payments Data & Analytics, specifically the Customer Insights team. The role involves leading the end-to-end product life cycle for data-driven products, acting as the voice of the customer, and developing profitable products. A key aspect is driving the adoption and scaling of AI-powered features and products from concept to launch and continuous improvement, collaborating with cross-functional teams to deliver high-quality, scalable, and resilient products. | — | 5 |
| Director of Site Reliability Engineering Director of Site Reliability Engineering at JPMorgan Chase, focusing on leading the adoption and governance of enterprise-authorized AI capabilities within reliability operations and delivery practices. The role involves setting expectations for AI-assisted operational decisioning and automation, ensuring alignment with security, compliance, and resiliency standards, and guiding stakeholders in the safe use of these AI capabilities. | Ship | 5 |
| Manager of Software Engineering - Trust and Security Manager of Software Engineering at JPMorgan Chase, leading multiple teams in Consumer and Community Banking. Focuses on daily implementation, issue escalation, and ensuring adherence to compliance, business requirements, and best practices. Leads adoption of AI-assisted engineering practices and SDLC automation, manages stakeholder relationships, and fosters a culture of diversity and inclusion. Requires 5+ years of software engineering experience, Java/Spring Boot proficiency, cloud infrastructure (AWS, Terraform), containerization (Docker, Kubernetes), databases, event streaming (Kafka), DevOps/SRE, and experience leading responsible AI adoption. | — | 5 |
| Sr Lead Security Engineer This role focuses on hardware and firmware security evaluations, including source code review, fault injection, and side-channel analysis. It involves understanding complex designs, identifying vulnerabilities, detecting Indicators of Compromise, and providing remediation guidance. The role also involves driving research into new attack methodologies and collaborating with cross-functional teams. A key aspect is the use of enterprise-authorized AI capabilities to accelerate security risk analysis and documentation, with a strong emphasis on validating AI outputs and ensuring data sensitivity. | — | 5 |
| Sr Lead Security Engineer - Workforce Senior Lead Security Engineer role focused on designing, building, and implementing advanced security solutions across cloud, hybrid, and on-prem environments. The role involves hands-on coding, automation, integrating security controls, and driving the adoption of emerging cybersecurity technologies, including AI/ML-driven security analytics. Responsibilities include threat modeling, risk assessment, mentoring junior engineers, and collaborating with cross-functional teams. The role emphasizes using enterprise-authorized AI capabilities to accelerate security risk analysis and documentation, with a strong focus on validation and data sensitivity. | — | 5 |
| Android Lead Software Engineer Lead Android Software Engineer at JPMorgan Chase, focusing on enhancing and delivering mobile applications. The role involves driving team adoption of AI-assisted engineering practices, ensuring secure and high-quality code, and applying AI tools to improve development workflows. Requires strong understanding of responsible AI use and coaching engineers on safe adoption. | — | 5 |
| AI Lead Technical Program Manager Lead Technical Program Manager for AI initiatives within JPMorgan Chase's Consumer & Community Banking division. This role focuses on leveraging enterprise-authorized AI capabilities to enhance program planning, risk synthesis, and reporting, ensuring successful delivery of technology projects that align with business goals. The TPM will manage project plans, identify and mitigate risks, collaborate with cross-functional teams, and champion agile methodologies. A key aspect is the validation and responsible use of AI-assisted tools in program management workflows, with a strong emphasis on data sensitivity and human oversight. | — | 5 |