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 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.
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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Data and AI Control Manager This role focuses on designing and executing data-driven control testing within financial services, specifically for client onboarding and documentation. It involves building and productionizing AI/ML solutions, including Generative AI, for risk detection, continuous monitoring, and regulatory compliance. The role also emphasizes automating testing processes, operationalizing alerts, and partnering with various teams to ensure explainability and auditability, with a strong focus on regulated environments. | AgentData | 7 |
| Executive Director - Senior AI Product Manager Senior AI Product Manager at JPMorgan Chase in Fintech, focusing on driving AI adoption, designing agentic workflows, and managing AI-powered products within Wholesale Lending Services. Requires significant product management and AI experience, with a deep understanding of prompt engineering and agentic workflows. | Agent | 7 |
| Data Science and Gen AI Developer-Associate Develops and implements LLM-based solutions, including RAG agents and agentic AI systems, with a focus on data analysis, model tuning, and evaluation metrics within a fintech domain. | AgentData | 7 |
| Software Engineer III - Agentic AI Software Engineer III role focused on building agentic AI solutions within a large enterprise environment. Requires proficiency in Python/Java, system design, cloud technologies (AWS), and containerization. Familiarity with agent frameworks (LangGraph, Autogen), LLM evaluation tools, and model training/inference technologies is preferred. | Agent | 7 |
| Lead Software Engineer(AI, Java) Lead Software Engineer focused on building agentic AI systems, including multi-agent orchestration, tool-use chains, planning/reasoning loops, and memory architectures. Requires strong foundation in distributed systems, API design, microservices, event-driven architectures, and cloud platforms. Experience with LLMs, prompt engineering, fine-tuning, and evaluation is preferred. | Agent | 7 |
| Applied AI and Data Science Specialist – Global Research Modernization This role focuses on applying AI and data science, particularly LLMs, to enhance research methodologies and automate workflows within JPMorgan Chase's Global Research Center. The specialist will collaborate with analysts to identify opportunities for data-driven insights and workflow automation, ensuring data integrity and adhering to regulatory standards. | Agent | 7 |
| Software Engineer III - Agentic AI, Java/ Python Software Engineer III role focused on designing, developing, and maintaining backend services for AI and Agentic AI applications using Python. The role involves building and integrating agentic frameworks (Langgraph, Langchain, Autogen, Google ADK) for autonomous marketing solutions, developing APIs for AI-driven workflows, and deploying applications on AWS. | Agent | 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 |
| Credit Risk Innovation VP - Corporate & TCIO This role focuses on developing and launching innovative credit risk analytics products within a banking context, leveraging AI/ML, LLMs, and automation. The VP will lead the end-to-end product lifecycle, architect platforms, integrate advanced risk models, and collaborate with cross-functional teams. Key responsibilities include product ideation, user story mapping, MVP definition, launch, and iteration, with a strong emphasis on data-driven, scalable, and regulatory-compliant solutions. The role involves hands-on experience with Python/PySpark, cloud technologies, and agile methodologies, and a solid understanding of credit risk and banking products. | 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 |
| Data Scientist Associate - APAC Payments Data & Analytics JPMorgan Chase is seeking a Data Scientist Associate for their APAC Payments Data & Analytics team. The role focuses on delivering high-impact AI & Analytics use cases, driving data strategy, and creating data-driven products for clients and internal partners. Responsibilities include exploring money movement, forging partnerships with stakeholders, identifying and integrating Agentic AI workflows, and collaborating with product managers. Requires 4+ years of experience in Data Science, Analytic Solutions, and GenAI/Agentic AI use cases, with expertise in data platforms (Databricks, PySpark, Tableau) and cloud platforms (AWS). Familiarity with LLMs, prompt engineering, and RAG/MCP integrations is essential. Experience in payments or consulting is preferred. | Agent | 7 |
| Senior Manager of Software Engineering - Machine Learning & Cloud Senior Manager of Software Engineering for Machine Learning & Cloud within the Corporate Technology - Consumer & Community Bank Risk group at JPMorgan Chase. The role involves leading a team of 10, mentoring technical teams, and driving the development and productionization of ML models using cloud services and MLOps practices. Responsibilities include technical leadership, code development, troubleshooting, and managing ML pipelines. | ServeData | 7 |
| Applied Artificial Intelligence & Machine Learning Engineer - Vice President This role is for an Applied AI/ML Engineer (VP level) at JPMorgan Chase, focusing on developing and delivering AI solutions for Commercial & Investment Banking Payments. The engineer will collaborate with cross-functional teams to boost operational efficiency and drive business innovation using AI/ML technologies, managing the code lifecycle from development to production. | Ship | 7 |
| Applied Artificial Intelligence & Machine Learning Engineer - Associate Applied AIML Engineer at JPMorgan Chase, focused on developing and delivering AI-driven payments solutions for Commercial & Investment Banking. The role involves coding, cross-functional collaboration, and end-to-end code lifecycle management, with a minimum of 2 years of AIML project delivery experience. | Ship | 7 |
| Modeling Centre of Excellence: Forecasting_ Analyst Develops and industrializes quantitative methodologies and predictive models using statistical and machine learning techniques in R/Python for financial planning and forecasting within a large financial institution. The role involves data analysis, model development, documentation, and interaction with model governance. | Post-train | 7 |
| Modeling Centre of Excellence: Forecasting_ Associate Develops quantitative methodologies and predictive/explanatory models using statistical and machine learning techniques in R/Python for financial planning and forecasting within a large financial institution. The role involves data analysis, model development, documentation, and interaction with model governance. | Post-train | 7 |