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 |
|---|---|---|
| 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 |
| Lead Data Scientist - Finance Technology Lead Data Scientist for JPMorgan Chase's Finance Technology team, focusing on building and deploying production-grade AI/ML solutions, including LLMs, Gen AI, and agentic workflows, for finance processes. The role involves managing a global team and collaborating with business and technology partners. |
| Post-trainAgent |
| 8 |
| AI Research Lead (Natural Language Processing) - Vice President AI Research Lead focusing on Natural Language Processing within the financial services domain, developing novel techniques and state-of-the-art ML models for commercial applications. | Post-train | 8 |
| AI Research Scientist - Senior Associate AI Research Scientist role at JPMorgan Chase focused on developing novel techniques, tools, and frameworks for large-scale problems in financial services. The role involves formulating problems, developing algorithms and models, conducting experiments, and contributing to business applications, open-source software, and patents. | Post-train | 8 |
| AI Research Scientist - Senior Associate AI Research Scientist role at JPMorgan Chase focused on developing novel techniques, tools, and frameworks for large-scale problems in financial services. The role involves formulating problems, developing algorithms and models, conducting experiments, and contributing to business applications, open-source software, and patents. | Post-train | 8 |
| Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence Machine Learning Scientist - NLP - VP role focused on developing and deploying Generative AI solutions within JPMorgan Chase's Machine Learning Center of Excellence. The role involves research, thought partnership, cross-functional collaboration, and leading firm-wide initiatives to apply ML models across the business. Requires a PhD or MS with experience in GenAI, ML/DL toolkits, experimental design, and communication skills. | Post-trainAgent | 8 |
| Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of Excellence Machine Learning Scientist specializing in NLP and Generative AI (GenAI) to develop and deploy state-of-the-art models for complex business challenges within JPMorgan Chase. The role involves research, thought partnership with leaders, cross-functional collaboration for production deployment, and leading firm-wide initiatives with large-scale frameworks. Requires a PhD or MS with experience in GenAI, ML/DL toolkits, experiment design, and communication skills. | Post-trainAgent | 8 |
| Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence Machine Learning Scientist (VP) in the Machine Learning Center of Excellence at JPMorgan Chase, focusing on NLP and Generative AI. The role involves owning the full lifecycle of ML solutions, from research and development to production deployment, acting as a thought leader, and driving cross-functional collaboration to implement new ML methods and large-scale frameworks for business impact within the financial services industry. | Post-trainAgent | 8 |
| AWM Risk Analytics Group – Data Scientist - Vice President Vice President Data Scientist role in JPMorgan's Asset & Wealth Management Risk Analytics Group, focusing on developing and deploying advanced AI/ML and LLM solutions for risk management. Responsibilities include identifying use cases, leading model development (pre-training, fine-tuning, optimization), prompt engineering, quantization, evaluation, and collaborating on model serving systems. Requires strong Python, SQL, R, PyTorch/TensorFlow, AWS, and NLP/LLM experience, with frameworks like LangChain/LangGraph/AutoGen. | Post-trainServe | 8 |
| Business Banking - Data Scientist [Multiple Positions Available] Data Scientist role at JPMorgan Chase focused on developing and deploying machine learning models for financial prediction, trend identification, risk analysis, and anomaly detection within business banking portfolios. The role involves data processing, wrangling, ETL, automation, and leveraging visualization tools. Requires experience with Python, scikit-learn, SQL, and various BI software. | Post-trainData | 7 |
| Quantitative Trading and Research - Securitized Products Group - Associate Quantitative modeling role focused on Residential Mortgage-Backed Securities (RMBS) and structured products. The role involves applying machine learning and generative AI to enhance financial models for trading, valuation, and risk management, including data processing, calibration, and performance monitoring. | Post-train | 7 |
| Data Scientist [Multiple Positions Available] Data Scientist role at JPMorgan Chase focused on applying advanced data analysis and machine learning techniques to generate actionable insights, predict future outcomes, and inform strategic decisions within the fintech domain. The role involves leading full-cycle analytics projects, manipulating large datasets, building and deploying supervised and unsupervised machine learning models, and applying causal inference techniques. Experience with data regulation controls and consumer banking concepts is also required. | Post-train | 7 |
| Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President Quantitative trading firm seeks a VP to research, develop, and deploy mid-frequency systematic trading strategies. Role involves applying statistical modeling and machine learning to financial markets, with a focus on alpha generation, portfolio construction, risk management, and execution. Requires end-to-end ownership from ideation to live trading and performance monitoring. | Post-trainServe | 7 |
| Risk Management - Quant Modeling Lead - Vice President The Quant Modeling Lead - Vice President role within JPMorgan Chase's Model Risk Governance and Review (MRGR) team focuses on the independent validation and risk governance of forecasting and scoring models, including those using advanced AI/ML techniques, for consumer banking applications. The role involves evaluating model conceptual soundness, performing independent testing, monitoring performance, and liaising with various internal and external stakeholders, including regulators. | Post-train | 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 |
| 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 |
| 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 |
| 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 |
| 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 |