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 |
|---|---|---|
| Generative AI - Vice President This role focuses on architecting and scaling production-grade LLM systems, including APIs and agentic workflows, for enterprise-wide adoption in a financial technology setting. It emphasizes end-to-end delivery, performance, and continuous improvement, bridging AI research with robust engineering for real business impact. | AgentServe | 9 |
| AI/ML Director AI/ML Director to lead the enterprise portfolio for agentic AI, automating complex business workflows at scale. Responsibilities include architecting, developing, and productionizing autonomous and assistive AI agents, designing multi-agent systems using frameworks like LangChain and CrewAI, implementing RAG pipelines, building agent tools, and deploying scalable AI services with robust evaluation and governance. | Agent |
| 9 |
| Applied AI ML Lead Researcher - Commercial and Investment Bank Lead Researcher role focused on architecting and developing GenAI and agentic solutions for complex operational processes within a financial institution. The role involves delivering collaborating agents, orchestrating workflows, building reusable services, and mentoring a team, with a strong emphasis on production deployment and scalability. | AgentServe | 9 |
| Applied AI/ML Director Researcher This Director Researcher role focuses on building and deploying autonomous agentic AI solutions for a financial institution. The individual will architect and develop GenAI and Agentic solutions, deliver multiple collaborating agents to solve complex problems, and mentor a team of AI engineers. The role emphasizes bridging cutting-edge theory with enterprise-grade, large-scale, deployable systems, ensuring scalability, reliability, and security in production. | Agent | 9 |
| Generative AI Director Lead the design and delivery of production-grade LLM systems for mission-critical financial products, focusing on scalable APIs, agentic workflows, and end-to-end ownership of LLM Suite products. This role bridges AI research with robust engineering for enterprise-wide AI adoption. | ShipAgent | 9 |
| Applied AI ML Lead- Agentic AI & Python Lead engineer for agentic AI and LLM-powered products in a private bank setting, focusing on end-to-end delivery from concept to production, including guardrails, evaluation, and observability. Requires strong Python and ML deployment experience. | AgentServe | 8 |
| Associate Applied AI & ML Scientist – Markets Operations Associate Applied AI & ML Scientist role focused on designing, developing, and deploying AI/ML solutions for Market Operations at JPMorgan Chase. Responsibilities include building production-grade models, deploying solutions for automation and anomaly detection, architecting generative AI applications, and maintaining ML lifecycles. Requires strong Python, ML libraries, MLOps, and Generative AI experience, with a preference for financial services background. | AgentServe | 8 |
| Machine Learning Engineering & Applied AI ML Lead - Vice President This role focuses on designing and delivering enterprise-grade machine learning systems and autonomous agents for document processing within a large financial institution. It involves building robust production architectures, translating research into scalable solutions, and implementing automated ML pipelines using MLOps tools, with a strong emphasis on AWS and Kubernetes. The role operates at the intersection of software engineering and AI research, aiming to scale AI solutions within a sensitive enterprise environment. | AgentServe | 8 |
| Applied AI ML Senior Associate – LLM Suite Engineering JPMorgan Chase is seeking an Applied AI ML Senior Associate to join their LLM Suite Engineering team in London. The role focuses on building secure, reliable, and production-ready AI/ML and agentic capabilities on the LLM Suite platform, leveraging public cloud (Azure, AWS) and modern agentic frameworks. Responsibilities include designing, developing, and troubleshooting software, writing high-quality code, and implementing GenAI services. The role emphasizes collaboration with senior engineers and operational stability. | Agent | 8 |
| Applied AI ML Lead - LLM Suite Engineering Lead hands-on engineering for agentic and GenAI capabilities within the LLM Suite platform, focusing on designing, developing, and operationalizing production-grade AI/ML solutions using public cloud services and agentic frameworks. | Agent | 8 |
| Applied AI/ML Lead - Intelligent Cloud Migration Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions within a financial services context. This role involves designing and developing multi-agent systems, enterprise-wide AI/ML frameworks, and production-ready code, with a focus on cloud migration optimization. | AgentServe | 8 |
| Applied AI ML Lead - Payments Lead the end-to-end delivery of advanced machine learning and AI solutions for Payments and Banking Operations, focusing on production deployment, scalability, and integration within a regulated fintech environment. This role involves developing innovative solutions including GenAI and agentic approaches, establishing MLOps practices, and providing technical leadership. | ShipAgent | 8 |
| AI Engineering Director AI Engineering Director to lead a team developing horizontal LLM-based systems and agentic AI platforms for enterprise use cases. Responsibilities include designing and building production-grade AI systems, architecting retrieval patterns, engineering cloud-native platforms on AWS, optimizing AI systems, building APIs, and establishing evaluation/observability frameworks. Requires PhD or deep experience with LLMs/Agents, training/deploying models, and leading AI teams. | AgentServe | 8 |
| Applied AI ML Director - NLP / LLM and Graphs Director-level role focused on applying advanced ML techniques, particularly NLP, LLMs, and Graphs, to solve real-world problems within a regulated financial environment. The role involves developing state-of-the-art models, deploying solutions into production, driving firm-wide initiatives with large-scale frameworks, and researching new ML methods. Emphasis on agentic AI/multi-agent systems and LLM evaluation. | AgentPost-train | 8 |
| Lead Software Engineer - AI Lead Software Engineer for AI (VP) at JPMorgan Chase in Risk Technology, focusing on deploying and scaling generative AI and agentic AI solutions, particularly for natural language querying (NLQ) of data. The role involves designing reusable AI frameworks, developing multi-agent systems, guiding prompt engineering research, and building evaluation tools. Requires strong Python, system design, AWS, and LangGraph experience, with a focus on enterprise-scale solutions and data pipelines. | AgentData | 8 |
| Applied AIML Associate- Python & Data Science Engineering This role focuses on engineering and deploying LLM-based and generative AI applications within a financial institution. It involves developing, deploying, and ensuring the scalability and reliability of AI/ML solutions in production, with a strong emphasis on MLOps practices and utilizing vector databases and cloud platforms like AWS. | AgentServe | 8 |
| Applied AI Lead Lead the design, build, and deployment of end-to-end AI solutions, focusing on LLMs and agentic systems for business insights in a financial services context. This role involves advanced applied research, AI engineering, and data science expertise, with a strong emphasis on leading technical teams and driving complex initiatives. | AgentPost-train | 8 |
| Applied AI ML - Senior Associate - Machine Learning Engineer JPMorgan Chase is seeking an Applied AI/ML Senior Associate Machine Learning Engineer to join their Commercial & Investment Bank team. The role involves combining AI techniques with financial data to optimize business decisions and automate processes. Responsibilities include building scalable data science capabilities, deploying ML services, researching datasets, communicating AI capabilities, documenting processes for regulatory compliance, and collaborating on production architectures. The position requires a Masters or PhD in a quantitative discipline, strong ML theory, NLP specialization, MLOps knowledge, PyTorch experience, and cloud provider familiarity. Experience with containerization and model monitoring is also expected. | ShipServe | 8 |
| Applied AI ML Lead - DocAI Lead Applied AI/ML Engineer at JPMorgan Chase in London, focused on building and deploying AI-powered products for the Commercial & Investment Bank. The role involves leveraging NLP and Computer Vision to optimize business decisions and automate processes, requiring a blend of research and software engineering skills, with a focus on productionizing ML models and services. | Ship | 8 |
| Agentic Interface Lead, Applied AI Lead the design and delivery of human-in-the-loop (HITL) interfaces for supervising and steering AI agents in financial operations, focusing on production-grade web applications with React and TypeScript, and integrating with agentic workflows. | Agent | 8 |
| Applied AI & ML Lead – Markets Operations Lead a team of AI/ML scientists and engineers to design, develop, and deploy AI/ML solutions for market operations in a large financial institution. Focus on end-to-end delivery, production deployment, MLOps, and stakeholder engagement. | ShipAgent | 8 |
| Applied AI ML - Python & Agentic AI This role focuses on designing, building, and productionizing Generative AI and Agentic AI solutions, including LLM/SLM-powered applications like RAG, summarization, chat experiences, and tool-using agents. It requires strong software engineering skills in Java/Python, API development, MLOps, and cloud deployment on AWS, with an emphasis on secure coding, reliability, and automated evaluation. | AgentServe | 8 |
| Software Engineer III - Applied AI Software Engineer III - Applied AI at JPMorgan Chase, focused on developing and deploying generative AI applications and agents, with expertise in MLOps, AWS, and integrating user feedback for self-improving systems within the fintech domain. | AgentServe | 8 |
| Data Scientist Lead- NLP & LLM Lead Data Scientist role focused on applying NLP and LLM expertise to develop business-centric AI solutions for investment processes, client experiences, and operations within JPMorgan Asset Management. The role involves extracting insights from financial data, building AI solutions for content extraction, search, Q&A, reasoning, and recommendation, and collaborating with engineering for scalable delivery. | AgentPost-train | 8 |
| Lead Software Engineer- Agentic Gen AI / NLP Lead Engineer for Agentic Generative AI and Natural Language Querying solutions within Risk Technology at JPMorgan Chase. Focuses on designing, deploying, and scaling multi-agent systems, AI frameworks, and data pipelines for querying structured and unstructured data via natural language. Requires strong Python, system design, and AWS experience, with specific mention of LangGraph for orchestration. | Agent | 8 |
| Applied AI ML Director JPMorgan Chase is seeking an Applied AI ML Director in London to lead a team of specialists in developing horizontal AI capabilities (APIs, libraries) for Corporate and Investment Banking. The role involves collaborating with Line of Business AI teams, mentoring engineers, and staying at the forefront of AI advancements, with a focus on domains like Documents, Email, and Speech. Requires a PhD or top commercial AI lab experience, hands-on model training/deployment, and experience leading AI teams. | Post-trainServe | 8 |
| AI Researcher - Senior Associate AI Researcher Senior Associate at JPMorgan Chase, focused on developing novel AI/ML techniques and models for complex, large-scale problems within the financial services domain. The role involves research projects, formulating problems, developing algorithms, conducting experiments, and contributing to business applications, open-source software, and patents. | Post-train | 8 |
| Applied AI Lead Engineer - Agentic Systems Lead Engineer role focused on designing, building, and productionizing autonomous and assistive AI agents and multi-agent systems. This involves implementing RAG, integrating tools, prompt engineering, guardrails, and orchestrating workflows, with a strong emphasis on scaling and reliability within a fintech domain. | Agent | 8 |
| Applied AI Engineer - Agentic Systems - Senior Associate Senior Associate Applied AI Engineer focused on building and deploying agentic AI systems, including multi-agent architectures, RAG pipelines, and tool integration, within a financial services context. The role involves productionizing autonomous agents, orchestrating complex workflows, and ensuring safety through prompt engineering and guardrails. | Agent | 8 |
| Associate Applied AI & ML Scientist – Markets Operations Associate Applied AI & ML Scientist role at JPMorgan Chase focused on developing and deploying AI/ML solutions for Market Operations. Responsibilities include building ML models, deploying solutions for automation and anomaly detection, architecting generative AI applications, and maintaining production-grade tools. Requires experience with Python, ML libraries, MLOps, LLMOps, and cloud platforms. | AgentServe | 8 |
| Applied AI ML Researcher Senior Associate - Commercial and Investment Bank JPMorgan Chase is seeking an Applied AI ML Researcher Senior Associate to build next-generation autonomous agents for the financial industry. This role focuses on developing GenAI and Agentic solutions to automate complex operational processes, deliver collaborative agents that orchestrate workflows, and contribute to the production deployment of AI/ML solutions. | AgentServe | 8 |
| NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence Research Scientist role focused on applying sophisticated machine learning methods, particularly NLP and LLMs, to real-world problems within a financial services context. The role involves developing state-of-the-art models, publishing research, and collaborating to deploy solutions into production. It emphasizes both research exploration and practical application, with a focus on post-training and potentially agentic systems. | Post-trainAgent | 8 |
| Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning This role focuses on applying advanced ML methods like time series analysis, reinforcement learning, causal inference, and NLP to solve real-world problems in finance. The associate will research new methods, develop state-of-the-art models, collaborate with various teams to deploy solutions, and drive firm-wide initiatives. A PhD in a quantitative discipline and hands-on experience with ML toolkits are required, with a preference for candidates with financial industry knowledge and published research. | Post-trainAgent | 8 |
| AI Product Director - Email Domain AI Product Director for Email Domain at JPMorgan Chase, focusing on building next-generation AI and autonomous agents for operations. The role involves defining AI product strategy, leading product managers and engineers, and driving critical initiatives using agentic AI and LLMs. | Agent | 7 |
| Lead Software Engineer - Java, AI, AWS Lead Software Engineer role focused on designing, developing, and implementing AI and data engineering solutions, including Agentic AI systems, within a financial technology context. The role involves integrating AI models and autonomous agents into production systems using Java and AWS, with a strong emphasis on secure, stable, and scalable development. | AgentData | 7 |
| Technical Principal Architect - Agentic AI & Messaging Technical Principal Architect role focused on Agentic AI and Messaging technologies within Prime Finance at JPMorgan Chase. The role involves defining architectural vision, designing scalable and secure solutions, and leading the integration of autonomous AI workflows. Requires deep expertise in Java, Python, messaging technologies (Kafka, AMPS), and both relational and NoSQL databases, with a strong understanding of cloud platforms and DevOps. | Agent | 7 |
| Senior/Lead Machine Learning Scientist (Hands On)- International Consumer Bank Lead Machine Learning Scientist for JPMorgan Chase's International Consumer Bank in London. The role involves delivering end-to-end cloud-native ML solutions, mentoring junior colleagues, and collaborating with cross-functional teams to solve complex business problems using data insights. Focus on production-ready code, latest ML advancements, LLMs, and agentic systems. | ShipPost-train | 7 |
| Asset Management, Data Scientist, Vice President, London/Glasgow This role focuses on designing and implementing agentic AI workflows and LLM/NLP/ML solutions for asset management, with a strong emphasis on production deployment and scaling. It involves applying techniques like RAG, NER, and prompt engineering, and requires collaboration with business stakeholders and technologists. | AgentServe | 7 |
| Principal Software Engineer - Engineering Manager - Data and AI Platform The Principal Software Engineer - Engineering Manager will set the vision and strategy for a Data and AI Platform, enabling product teams by covering data ingestion, transformation, LLM patterns, audit, safety guardrails, compliance, and observability. The role involves leading a multi-discipline organization, owning the data foundation, ensuring compliant data use, defining enablement for LLM applications, establishing engineering excellence, driving a product-oriented model, enabling data-driven development, and attracting talent. | AgentServe | 7 |
| Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President / Executive Director Quantitative research role focused on developing and implementing mid-frequency trading strategies using advanced statistical modeling and machine learning techniques. The role involves the full lifecycle from ideation and research to production deployment and performance monitoring, with a strong emphasis on extracting predictive signals from complex financial datasets. | Agent | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Quantitative Trading & Research – Markets Treasury – Vice President Lead the design and implementation of advanced AI/ML models and tools for risk assessment and P&L prediction in treasury management within an investment bank. Drive strategic initiatives, own large-scale analytics projects, and automate reporting processes, partnering with technology and business stakeholders. Requires strong Python programming, software engineering, and quantitative finance skills. | Serve | 7 |
| Applied AI/ML Director - Executive Director Executive Director to lead a team of AI/ML specialists in developing horizontal capabilities (APIs, libraries) for AI hosting platforms within a large bank. The role involves hands-on experience in training and deploying models, leading teams, and ensuring responsible AI engineering practices. | ServePost-train | 7 |
| 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 |
| 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 |
| 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 |