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 |
|---|---|---|
| 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 |
| 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 |
| Asset Management - Quantitative Analyst - Artificial Intelligence & Machine Learning Focus Quantitative Analyst with a focus on AI/ML/LLMs for investment research, alpha generation, portfolio optimization, and risk management in financial markets. Responsibilities include researching and implementing quantitative models, applying NLP to textual data, identifying alpha signals, and collaborating with teams to implement models in production. Requires a quantitative Master's/PhD, 3+ years of experience, expertise in ML/DL/AI/LLMs/NLP, strong coding skills (Python), and knowledge of financial markets. Regulatory licenses are required. | AgentData | 8 |
| Asset Management - AI Engineer - Associate/VP AI Engineer role at JPMorgan Chase focusing on the research, deployment, and optimization of large models, including training, fine-tuning, and prompt engineering. The role involves implementing AI tools in enterprise business scenarios, developing AI platforms, and building AI workflows and agents. Requires strong algorithm and engineering capabilities with experience in RAG, Agent, LangChain, and large model training frameworks. | AgentPost-train | 8 |