JPMorgan Chase
Banking · Banking
- HQ
- New York City, US
- Founded
- 2000
- Size
- 270,000+
- Website
- jpmorganchase.com
Banking · Banking
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 269 active AI roles, with 1150 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$285k (avg $215k).
JPMorgan Chase currently has 452 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (8), Applied AI ML-Vice President (4), Applied AI/ML Lead (4), Data Scientist [Multiple Positions Available] (4), Lead Site Reliability Engineer (4). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (58%), 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 (303 roles), United Kingdom (60 roles), India (59 roles), Singapore (18 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 275 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer III - SAP ABAP Software Engineer III role focused on designing and delivering AI-powered solutions on SAP BTP, building agentic AI capabilities, and leading proof-of-concept initiatives. Requires experience in AI/ML solution development, SAP BTP, Python/JavaScript, and MLOps practices. | Agent | 7 |
| Applied AI/ML Senior Associate Senior Associate role focused on applying AI/ML techniques, particularly NLP, to solve business problems within the Asset & Wealth Management division of JPMorgan Chase. Responsibilities include developing, productionizing, and documenting AI/ML solutions, collaborating with stakeholders, and coaching team members. Requires 3+ years of applied experience in data science and ML, with strong Python skills and experience with ML libraries and big data tools. | Ship |
| 7 |
| Product Director, Solutions Engineering Product Director, Solutions Engineering role focused on driving adoption of an AI platform (Fusion) within a financial services context. The role involves leading a team of engineers, collaborating with clients to co-design AI solutions, developing common solutions, and ensuring AI solutions are delivered to production with a focus on scale, reliability, and controls. | Ship | 7 |
| Data Scientist Lead Lead Data Scientist to monitor AI-relevant trends and develop local economic intelligence using LLM models and GenAI tools. Responsibilities include data curation, analytics, modeling, insight generation, and building data pipelines, with a focus on AI disruption monitoring and local economic impact. | AgentData | 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 |
| Quantitative Trading & Research - Automated Trading Strategies - Rates - Analyst or Associate Quantitative trading role focused on building systematic trading strategies using AI/ML techniques for pricing, risk management, and execution in Rates markets. Involves analyzing large datasets, back testing strategies, expanding modeling tools, and maintaining trading software systems. | Agent | 7 |
| Applied AI ML Lead Lead Applied AI/ML role at JPMorgan Chase, focusing on developing and productionizing AI/ML solutions for business needs within the HR Data and Analytics team. Requires strong Python, ML techniques, and NLP experience. | Ship | 7 |
| Software Engineer III - AI/ML, Java / Python Software Engineer III on the Transformative AI Team at JPMorgan Chase, focusing on building an Agentic Private Bank. The role involves developing and implementing GenAI and Agentic AI solutions, working with prompt-based LLMs, and building data pipelines for prompt engineering on cloud platforms. | Agent | 7 |
| Senior Product Associate - Employee Platforms (AI Tooling, RAG, LLM) Senior Product Associate role focused on developing and launching AI-enabled internal capabilities and experiences within JPMorgan Chase's Employee Platforms. The role involves identifying product opportunities, running discovery loops, and leveraging AI (LLMs, RAG, agents) as a core toolset across the product lifecycle. Requires a hands-on approach, collaboration with engineering and data science, and a strong understanding of LLM application concepts and AI quality signals. | Agent | 7 |
| Lead Software Engineer - Data Engineer Lead Software Engineer for Data Engineering role focused on building an AI/Agentic AI layer for a Data Products platform. This involves architecting and developing autonomous agents for data product lifecycle management, leveraging NLP, RAG, Vector Databases, and multi-agent orchestration. The role also requires hands-on technical leadership, mentoring a team, and ensuring scalability, security, and best practices for enterprise-grade data platforms. | AgentData | 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 |
| Quantitative Trading & Research - SPG - Vice President Quantitative trading and research role focused on RMBS and structured products, developing and maintaining models. The role involves applying machine learning and generative AI to credit modeling, data processing, model calibration, performance monitoring, and delivering analytics. Responsibilities include developing financial models, conducting back-testing, performing ML analysis on large datasets, building data analysis platforms, and collaborating with stakeholders. | Post-trainData | 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 |
| Director of Software Engineering - Workplace Technology Director of Software Engineering leading a team to develop and deploy phygital AI solutions leveraging IoT and edge-to-cloud computing. Focus on integrating AI/ML with IoT ecosystems for real-time analytics and scalable solutions. | ServeAgent | 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 |
| E-Markets [Multiple Positions Available] This role focuses on applying AI/ML and quantitative techniques to options pricing, hedging, and quoting within financial markets. It involves developing and implementing sophisticated algorithms, quantitative models, and analytical tools for trading analysis and backtesting. The position requires experience with various machine learning techniques and programming languages like Python, KDB, C++, PyTorch, and Sklearn, with a strong emphasis on quantitative research and model development in a regulated financial environment. | Post-trainServe | 7 |
| Lead Software Engineer - Java Lead Software Engineer in Payment Technology team at JPMorgan Chase, responsible for enhancing, building, and delivering technology products. The role involves driving business impact through technical expertise, problem-solving, and developing secure, high-quality production code. A key focus is on designing, developing, and integrating agent-based systems and LLMs within Java applications, requiring practical cloud-native experience and knowledge of the financial services industry. | Agent | 7 |
| Lead Software Engineer Lead Software Engineer at JPMorgan Chase within the consumer and community banking technology team, responsible for driving the architecture, design, and delivery of enterprise-scale platforms and solutions. This includes leading engineering teams, shaping technical strategy, and championing innovation across full-stack development, cloud-native ecosystems, and emerging technologies including Generative AI. The role involves designing and implementing Agentic AI and Generative AI solutions, integrating LLMs, AI agents, and intelligent automation into enterprise platforms, and collaborating with AI/ML teams to bring these capabilities to production at scale. | Agent | 7 |
| Asset Management, Equity Quant Researcher, Associate PhD-level Quant Researcher with 0-3 years of experience in machine learning, specializing in reinforcement learning, to develop alpha signals and portfolio construction methodologies for global equity markets. Responsibilities include data analysis, model enhancement, and integrating research into production systems. | DataPost-train | 7 |
| Applied AI/ML Lead Applied AI/ML Lead at JPMorgan Chase in Asset & Wealth Management, focusing on developing and productionizing end-to-end AI/ML solutions for business needs. Requires strong Python, ML techniques, and NLP experience. | Agent | 7 |
| Vice President, Business Intelligence - Advanced Analytics This role focuses on modernizing Business Intelligence (BI) by integrating AI, specifically LLMs, to create AI-driven BI as a core enterprise capability. The goal is to move beyond descriptive and predictive analytics towards prescriptive insights, operationalizing conversational analytics and building AI assistants within BI workflows. The role involves partnering with senior leadership, owning the BI lifecycle, architecting semantic layers, and driving adoption of AI-enabled BI solutions. | Agent | 7 |
| Lead Software Engineer – Cloud DevOps & AI Lead Software Engineer focused on Cloud DevOps and AI, responsible for designing and implementing CI/CD pipelines, infrastructure-as-code, and container orchestration, with a strong emphasis on integrating AI/ML for automation, intelligent monitoring, and agent-based workflow optimization within cloud environments. | 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 |
| Human-AI Conversational Designer, Vice President JPMorgan Chase Private Bank is seeking a Vice President, Human-AI Experience Design to shape user experiences for next-generation agentic platforms for clients and advisors. This role involves defining end-to-end Human-AI experiences, shaping interaction patterns, leading user research, embedding responsible AI principles, and translating AI capabilities into intuitive and trustworthy workflows. The ideal candidate will have 5+ years of UX design experience, with 3+ years in AI-focused product design or human-AI interaction, and a strong understanding of AI/ML fundamentals and responsible AI concepts. | 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 |
| Risk Management - AI Governance - Model Risk - Executive Director Executive Director role focused on AI Governance and Model Risk Management within JPMorgan Chase's Risk Management and Compliance division. The role involves designing and implementing AI governance frameworks, assessing AI/ML practices, collaborating with stakeholders, and communicating emerging risks to senior management and regulators. Requires extensive experience in risk management and a strong understanding of GenAI tools. | Eval GateAgent | 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 |
| AI Product Director - Document Domain Product Director role focused on defining and driving AI and agentic product strategy for enterprise operations, leveraging LLMs, RAG, and agentic pipelines to improve operational outcomes. Requires leadership in product management, cross-functional team collaboration, and delivery of AI-enabled products at scale within a large, complex organization. | 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 |
| Quant Modelling Associate Quant Modeling Associate role focused on ensuring fair lending compliance for various models, including traditional, ML/AI, and Gen AI models, within JPMorgan Chase's Risk Management and Compliance division. Responsibilities include statistical analysis, bias testing, developing mitigation algorithms, research, and documentation, with a focus on adhering to Fair Lending Laws and regulations. | Post-trainAgent | 7 |
| Senior Lead Site Reliability Engineer Senior Lead Site Reliability Engineer role focused on building and optimizing AI/ML platforms and products, including infrastructure, serving, and agentic AI solutions for SRE functions. Requires deep SRE experience applied to AI/ML workloads and LLM inference. | ServeAgent | 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 |
| Software Engineer II - Machine Learning Software Engineer II on the Machine Learning Operations team at JPMorgan Chase, focusing on building and maintaining end-to-end ML solutions for customer-facing experiences. The role involves engineering scalable features and pipelines for relevance and ranking models, implementing ML Ops practices, and ensuring system reliability and observability in a production environment. | ShipData | 7 |
| Product Manager - Machine Learning Intelligence Operations Product Manager for Machine Learning Intelligence Operations at JPMorgan Chase, focusing on Transcription and Conversational Insights. The role involves defining product strategy, roadmaps, and leading cross-functional teams to enhance customer and employee experiences using AI/ML. Key responsibilities include managing product backlogs, prioritizing features, and collaborating with various stakeholders to deliver AI-driven solutions. | Ship | 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 onboarding, and agentic systems. 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 |
| Lead Infrastructure Engineer (GenAI), CloudFormation Lead Infrastructure Engineer (GenAI) at JPMorgan Chase, focusing on leveraging GenAI and agentic AI for cloud infrastructure cost optimization. The role involves developing, implementing, and evangelizing AI-driven solutions and intelligent agents to automate cost management and improve efficiency across on-premises and cloud environments. Responsibilities include leading the development of GenAI agents for cost optimization, discovering opportunities using AI models, architecting automation runbooks, and guiding stakeholders on cost-effective decisions. | Agent | 7 |
| Software Engineer III - Python, AWS, GenAI Software Engineer III with Python, AWS, and GenAI experience at JPMorgan Chase in Bengaluru. This role involves partnering on LLM projects, collaborating on ML products, and developing scalable ML-driven products within a regulated environment. Requires strong Python, cloud (AWS/Azure), and SDLC experience. | Ship | 7 |
| Software Engineer III - SRE Software Engineer III - AI Reliability Engineer at JPMorgan Chase within Asset and Wealth Management Technology team, focused on enhancing the reliability and resilience of AI systems, particularly large language model serving and training systems. Responsibilities include developing SLOs for AI systems, implementing monitoring, designing high-availability serving infrastructure, championing site reliability culture, developing automated failover and recovery systems, creating AI Incident Response playbooks, leading incident response for critical AI services, building cost optimization systems, engineering for scale and security, and collaborating with ML engineers. Requires formal training/certification in software engineering, proficiency in reliability best practices, observability tools, CI/CD, container orchestration, and understanding AI infrastructure challenges. Preferred qualifications include experience with AI-specific observability tools, AI incident response strategies, AI-centric SLOs/SLAs, and continuous evaluation processes. | ServeEval Gate | 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 |