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 reference: agent orchestration, llm observability, model serving, rag, fine tuning.
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 |
|---|---|---|
| Applied AI ML Researcher Lead Lead an Applied AI Research team focused on building autonomous agent systems for financial services. The role involves architecting and delivering generative AI and agent-based solutions, establishing rigorous evaluation practices, and mentoring team members. Requires strong software engineering skills, experience with distributed computing, and a proven track record of deploying ML applications in production. | AgentEval Gate | 9 |
| Applied Machine Learning Scientist - Vice President Lead the development and deployment of scalable, production-grade advanced ML solutions, focusing on Generative AI capabilities like RAG and agentic systems for complex workflows in a fintech environment. Responsibilities include designing, building, fine-tuning, and evaluating LLMs, with a strong emphasis on production constraints, safety, and responsible AI usage. |
| AgentPost-train |
| 9 |
| Sr Director of Software Engineering - AI/ML platforms (Intelligent Agentic Systems, RAG, LLM Architectures) Senior Director of Software Engineering leading AI/ML platforms, focusing on intelligent agentic systems, RAG, and LLM architectures within a financial services context. The role involves managing multiple departments, driving adoption of advanced ML/AI solutions, overseeing the end-to-end project lifecycle, and developing high-performing teams. Requires extensive experience in ML/AI platforms, MLOps, LLM architectures, RAG, fine-tuning, agentic systems, and search technologies. | Agent | 9 |
| Applied AI ML Researcher Director Lead the development and deployment of next-generation autonomous AI agents for a financial institution, focusing on automating complex operations and scaling solutions across the organization. This role involves architecting GenAI solutions, mentoring teams, and ensuring production-readiness. | AgentServe | 9 |
| Generative AI Executive Director Executive Director role focused on architecting and delivering production LLM-based systems and agentic workflows for financial tasks at JP Morgan Chase. This role emphasizes shipping AI products at enterprise scale with measurable ROI, bridging research with robust engineering. | ShipAgent | 9 |
| Applied AI ML Researcher Director JPMorgan Chase is seeking an Applied AI ML Researcher Director to lead the development of next-generation autonomous agents for the financial industry. This role involves architecting and deploying agentic AI solutions, mentoring a team, and ensuring scalability and reliability in a production environment. The focus is on bridging cutting-edge theory with enterprise-grade systems. | AgentServe | 9 |
| Senior Lead Software Engineer- Java/Python/ AI Solutions Senior Lead Software Engineer to design, develop, and deploy client-facing Generative AI and Agentic AI solutions for a Private Bank. This role involves architecting prompt-based LLM models, building autonomous agentic AI workflows with multi-step reasoning and tool use, integrating with external data sources, and developing scalable data pipelines and APIs. The position requires strong programming skills in Python or Java, experience with cloud platforms, and a deep understanding of security and regulatory compliance in financial services. | AgentServe | 9 |
| 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 Agents Applied Engineer - Senior Associate This role focuses on the end-to-end lifecycle of LLM-based agents, from research to production deployment. The engineer will define research directions in areas like multi-step planning, tool use, and safety, build production systems that meet strict constraints, and partner with other teams to bring these systems to market. The role emphasizes building AI that is auditable, explainable, and safe within a regulated financial domain, with a focus on customer-facing financial tasks. | AgentServe | 9 |
| AI Agents Applied Research/Engineering Lead - Vice President Lead the research and end-to-end lifecycle of LLM-based agents for financial tasks, focusing on multi-step planning, tool use, safety, and production deployment under strict regulatory constraints. This role involves fine-tuning, optimizing LLMs, applying reinforcement learning, scaling systems, and implementing robust safety and compliance controls. | AgentServe | 9 |
| Vice President — Principal Applied AI Data Scientist JPMorgan Chase is seeking a Vice President to lead the design, deployment, and scaling of LLM agents and AI-driven solutions for finance workflows. The role involves architecting and building multi-agent systems using techniques like LangGraph, RAG, and tool use, integrating them with various data sources and APIs, and driving research in Gen AI and autonomous workflows. The candidate will also mentor teams and communicate technical concepts to stakeholders. | Agent | 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 |
| Machine Learning Scientist - Vice President Lead the development and deployment of production-grade advanced ML solutions, focusing on Generative AI capabilities including LLM-powered systems like RAG and agentic AI. The role involves fine-tuning, evaluation, and operating models reliably in production within a regulated fintech environment. | AgentPost-train | 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 |
| Lead Software Engineer -AI Lead Software Engineer focused on building and shipping production-grade, multi-agent AI systems for enterprise-scale automation of the software delivery pipeline. The role emphasizes end-to-end ownership of agent capabilities, with a focus on reliability, evaluation, observability, and cost-per-session. | Agent | 8 |
| Lead Software Engineer -AI Lead Software Engineer focused on building and shipping production-grade, multi-agent AI systems for enterprise-scale automation of the software delivery pipeline. The role emphasizes end-to-end ownership of agent capabilities, with a focus on reliability, evaluation, observability, and cost-per-session. | Agent | 8 |
| Senior Director of Software Engineering Senior Director of Software Engineering to lead an AI engineering program focused on mainframe modernization in financial services. The role involves building agentic systems to ingest legacy code, generate specifications, and accelerate migration delivery, treating GenAI as a practical engineering discipline. Responsibilities include designing and operating the AI modernization pipeline, leading an AI engineering team, and implementing multi-agent workflows with evaluation frameworks and guardrails. | AgentEval Gate | 8 |
| Applied AI ML Vice President This Vice President, Data Scientist role at JPMorgan Chase focuses on developing and implementing advanced AI solutions within Risk Management and Compliance. The role involves designing and deploying multi-agent systems, implementing drift monitoring and retraining processes, defining evaluation frameworks for AI systems, and integrating AI into existing workflows. The position requires a strong track record in deploying and managing AI/ML models in an enterprise setting, experience with agent orchestration frameworks, and a scientific mindset. | AgentEval Gate | 8 |
| AI/ML Lead- Agentic AI Lead AI/ML role focused on building an Agentic Private Bank by developing GenAI and Agentic AI solutions using Python, NLP, and LLMs to enhance automation, decision-making, and client engagement within the financial domain. | Agent | 8 |
| Agent Platform Engineer Product Solutions Vice President - Chief Data Analytics Office Fusion Platform The Agent Platform Engineer Product Solutions Vice President role focuses on building and deploying production-grade AI agents within a regulated enterprise environment. This role involves designing agent architectures, writing production code, integrating with various tools and systems, and ensuring the scalability and reliability of agent solutions. The position emphasizes hands-on engineering, system thinking, and collaboration with business lines to drive AI adoption. | Agent | 8 |
| Applied AI ML Lead [Multiple Positions Available] Lead an Applied AI/ML role focused on designing, deploying, and managing prompt-based LLM models for NLP tasks in financial services. This involves research in prompt engineering, LLM orchestration, RAG systems, and explainable AI, with a strong emphasis on building and optimizing data pipelines, evaluation frameworks, and ML solutions for financial reconciliation and entity extraction. | AgentData | 8 |
| Senior AI Application Engineer - Vice President Senior AI Application Engineer (VP) at JPMorgan Chase, focused on building and deploying high-impact AI applications and platforms in the financial services industry. Responsibilities include hands-on architecture, implementation, and productionization of ML and LLM models, along with designing scalable data pipelines and inference services on cloud platforms (AWS/Azure). Requires strong Python programming, ML/LLM experience, and end-to-end solution design. | AgentServe | 8 |
| Security Engineer III - AIML Security Engineer focused on AI/ML security, red teaming, and adversarial resilience for generative AI, RAG pipelines, and ML systems within a large enterprise. The role involves developing security strategies, conducting threat modeling, and implementing controls to prevent misuse and malicious behavior. | AgentEval Gate | 8 |
| Lead Software Engineer - Python, AI Lead Software Engineer to design, build, and operate LLM-powered AI agents and multi-agent orchestration frameworks, including conversational interfaces, APIs, and enterprise system integration. The role also involves building evaluation frameworks and driving adoption of AI-assisted engineering practices, with a strong emphasis on responsible AI use. | AgentEval Gate | 8 |
| Risk Management & Compliance - Data Scientist Lead, Executive Director Executive Director, Data Scientist Lead in Risk Management & Compliance, responsible for guiding the exploration, piloting, and implementation of AI/GenAI solutions. The role involves managing a global team, overseeing the end-to-end model development lifecycle, designing and deploying AI applications, integrating advanced analytics, guiding research, and implementing monitoring processes. Requires significant leadership experience and hands-on experience with ML Ops, agentic frameworks, and large-scale enterprise AI deployment. | AgentServe | 8 |
| Applied AI/ML Lead Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions within Cloud Foundational Services. This role involves designing and executing enterprise-wide AI/ML frameworks, owning product analytics and measurement strategy, building predictive models, and developing tools for prompt-based agent evaluation and optimization. The position requires strong Python, SQL, and GenAI/RAG fundamentals, with a focus on building production-ready AI systems and providing technical leadership. | 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 financial environment. The role involves developing innovative solutions including GenAI and agentic approaches, establishing MLOps practices, and providing technical leadership. | ShipAgent | 8 |
| Software Engineer III - AI/ML, Prompt Engineer Software Engineer III focused on Prompt Engineering and Applied ML within a Risk & Controls AI team. The role involves designing and optimizing production-grade prompts, implementing LLM integration patterns (RAG, chain-of-thought), defining evaluation criteria, building agent workflows, and leveraging various databases. Responsibilities include data preparation, feature engineering, monitoring AI/ML workflows, and developing Python scripts. Requires significant experience in ML, applied AI, prompt engineering, and LLM application development. | AgentData | 8 |
| Applied AI ML Engineer This role focuses on helping customers build, deploy, and operate AI/ML models and agentic systems, with a strong emphasis on observability, large-scale data processing, secure deployment, and using coding assistants. The primary artifact is the agentic system (L4), with a secondary focus on the underlying inference infrastructure (L3). | AgentServe | 8 |
| Data Scientist [Multiple Positions Available] Data Scientist at JPMorgan Chase focused on building and training production-grade ML models for financial use cases, including forecasting, anomaly detection, NLP, and LLMs. Requires experience with deep learning, transformer models, and ML deployment in a financial domain. | Post-trainData | 8 |
| Applied AI ML Lead [Multiple Positions Available] Lead the development and deployment of AI/ML solutions for virtual assistants and transaction search applications within a financial services context. Focus on fine-tuning LLMs and SLMs, optimizing inference, and managing the release cycle for production-grade AI. | Post-trainServe | 8 |
| Applied AI ML Senior Associate Senior Associate role focused on building and scaling AI/ML solutions, particularly LLM-powered systems and agentic frameworks, within an enterprise environment. Requires strong software engineering discipline, experience with ML frameworks, MLOps, and cloud platforms (Azure/AWS). | AgentServe | 8 |
| Applied AI ML Director Seeking an Applied AI/ML Engineering Director to lead the adoption of AI-powered solutions within Consumer & Community Banking. The role involves architecting, developing, and productionizing ML models, agentic AI systems, and intelligent platforms, with a focus on accelerating developer productivity through AI tooling and practices. Responsibilities include leading technical direction, designing end-to-end AI systems like RAG and intelligent agents, experimenting with new AI technologies, and establishing best practices for AI integration. | AgentServe | 8 |
| Red Team Lead Security Engineer Lead Security Engineer focused on Red Teaming for AI/ML systems, including generative AI and RAG pipelines. Responsibilities include developing security strategies, adversarial testing, identifying vulnerabilities (prompt injection, jailbreaking, data poisoning), providing secure design guidance, and defining red teaming methodologies. Requires experience with cloud-native AI services, threat modeling, penetration testing (especially for LLMs), Python, and AI/ML concepts. | Agent | 8 |
| AI ML Engineering Lead - Vice President - Wholesale Payments Operations This role focuses on building and deploying enterprise AI/ML solutions for Wholesale Payments Operations, with an emphasis on document processing, workflow automation, and LLM-enabled applications. The role involves end-to-end delivery, MLOps, model governance, and mentoring engineers within a regulated financial services environment. | AgentServe | 8 |
| Quantitative Trading & Research - Applied Researcher – Agentic AI Systems - Associate Associate Applied Researcher focused on building and productionizing end-to-end agentic AI systems for workflow automation in a quantitative trading and research environment. The role involves driving applied research, integrating emerging techniques, and ensuring robust, scalable, and observable production code. | Agent | 8 |
| 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 |
| Senior Quant Analytics Associate - Fraud Risk Develop and implement GenAI and Agentic AI solutions using Python for fraud prevention, leveraging LLMs, ML, and RAG. Analyze data, build reporting systems, and apply advanced analytics to improve decision-making and workflow efficiency in fraud risk management. | AgentData | 8 |
| Risk Management - Gen AI Lead Data Scientist Lead Data Scientist role focused on designing and delivering generative AI and agentic solutions for wholesale credit risk management, including LLM-powered agents, multi-agent orchestration, and RAG systems. The role involves translating business needs into production-ready capabilities, managing context, and ensuring performance, safety, and reliability across the model lifecycle. | Agent | 8 |
| Applied AI ML Lead Lead engineer to build an AI-Native SDLC Agent Fabric using multi-agent systems, LLM Orchestration, and AI toolchains on AWS. Responsibilities include designing and implementing LLM-driven agent services, developing orchestration layers, integrating AI agents with toolchains, and providing technical leadership. | Agent | 8 |
| Predictive Science - AI Engineering & Prompt Architecture Lead - Vice President Lead a team of prompt engineers and AI/ML developers in building intelligent document processing and data extraction solutions for KYC/AML. Architect agentic workflows, design evaluation frameworks, operationalize prompt lifecycle management, guide model selection, design RAG architectures, oversee fine-tuning/training, and build evaluation infrastructure. Requires strong LLM internals, prompt architecture, RAG, fine-tuning, and ML engineering skills, with experience in AI evaluation systems and LLM failure modes. Domain expertise in KYC/AML and experience with autonomous AI agents are preferred. | AgentData | 8 |
| Connected Commerce and Cards - AI Modeling Lead Lead the design, training, and deployment of AI/ML models for Connected Commerce and Cards at JPMorgan Chase, focusing on customer financial needs and business impact. This role involves end-to-end ownership of model development, deployment, and production readiness, collaboration with stakeholders, and ensuring regulatory compliance. Requires strong Python skills, experience with ML/DL frameworks, and familiarity with modern AI tooling like LLMs and agentic frameworks. | Ship | 8 |
| Applied AI/ML Senior Associate - Payments Senior Associate Applied AI/ML Scientist in Payments at JPMorgan Chase, focusing on developing and deploying ML models for payment solutions, fraud detection, and customer experience enhancement. Requires experience with large-scale data processing on AWS, ML frameworks, NLP/LLMs, Agentic AI, and fine-tuning strategies. Collaborates with cross-functional teams and ensures regulatory compliance. | AgentServe | 8 |
| CCB Risk Modeling - AI ML Sr. Associate This role focuses on developing and deploying machine learning models for credit decisioning and fraud detection within a financial services context. Key areas include explainability, fairness, and responsible AI practices, with an emphasis on applying advanced ML techniques, including LLMs and agentic workflows, to complex business challenges. The role requires a strong background in model development, interpretability, and collaboration across various teams to ensure ethical and regulatory compliance. | Post-trainAgent | 8 |
| Asset Management - AI Quant Analyst - Artificial Intelligence & Machine Learning Focus JPMorgan Chase is seeking an AI Quant Analyst with a focus on AI/ML for their Asset Management division in Shanghai. The role involves researching and implementing quantitative investment models using ML/DL, applying LLMs/NLP to financial data for insights, and collaborating with teams to deploy models. The position requires a Master's or PhD in a quantitative field, 3+ years of experience in quantitative research within finance, and proven expertise in ML/DL/AI, particularly LLMs/NLP for financial data. Strong coding skills in Python and experience with statistical modeling are essential. The role also requires knowledge of financial markets and regulatory compliance. | Post-trainAgent | 8 |
| Asset Management - AI Algorithm Engineer - Associate/VP JPMorgan Chase is seeking an Associate/VP level AI Algorithm Engineer for their Asset Management division in Shanghai. The role focuses on the research, deployment, and optimization of large models, including training, fine-tuning, and prompt engineering. Responsibilities include implementing AI tools in enterprise business scenarios, developing the enterprise AI platform, designing AI workflows and agents, and ensuring system scalability and availability. The position requires a Bachelor's degree in a related field, over 3 years of AI experience, proficiency in Python, and practical experience with RAG, Agent, and LangChain. Familiarity with ML, DL, NLP, LLMs, and frameworks like PyTorch is essential. Experience in financial industry AI platforms or enterprise solutions is preferred. | AgentPost-train | 8 |
| Asset Management - AI Systems Engineer – Associate/VP The role focuses on building and optimizing enterprise LLM serving platforms, including GPU pooling, AI infrastructure, and MLOps for model deployment. It requires expertise in Python, Java, Kubernetes, and LLM inference engines, with a strong emphasis on performance optimization. | Serve | 8 |
| Applied AI ML [Multiple Positions Available] Builds and trains production-grade ML models and end-to-end pipelines for various business use cases in Global Banking, leveraging large-scale datasets, deep learning, and generative AI techniques. Deploys models in production environments using cloud technologies and MLOps practices. | ShipData | 8 |