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 mention: Machine Learning, Agentic Systems, Statistics, Data Science, Large Language Models (LLMs).
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 |
|---|---|---|
| Computational Linguist, Generative AI - Sr. Associate Computational Linguist role focused on evaluating and supporting Generative and Agentic AI systems within a financial institution. The role involves designing and implementing evaluation processes, metrics, and guardrails for LLM-powered workflows, with a strong emphasis on AI Assurance and customer experience. Requires expertise in linguistics, NLP, LLM integration, prompt engineering, and evaluation methodologies. | Eval GateAgent | 8 |
| Risk Management - AI Governance - Model Risk - Executive Director Executive Director role focused on AI Governance and Model Risk Management within JPMorgan Chase's Risk Management and Compliance division. The role involves designing and implementing AI governance frameworks, assessing AI/ML practices, collaborating with stakeholders, and communicating emerging risks to senior management and regulators. Requires extensive experience in risk management and a strong understanding of GenAI tools. |
| Eval GateAgent |
| 7 |
| Quantitative Modeling Lead [Multiple Positions Available] This role focuses on evaluating and validating machine learning models, particularly in the context of fraud detection within a financial institution. It involves conducting independent tests, assessing risks, ensuring compliance with regulatory requirements, and mentoring junior team members. The core responsibility is to act as a quality gate for AI/ML models before they are deployed or used internally. | Eval GatePost-train | 7 |
| Senior Associate Product Delivery - Business Enablement This role focuses on the product delivery of AI-driven improvements within client onboarding and service operations in a financial services context. The primary responsibility is to design, evaluate, and deploy AI solutions, with a strong emphasis on establishing quality gates and evaluation frameworks (L5), while also designing the agentic systems and their components (L4). | Eval GateAgent | 7 |
| AI Control Manager – Senior Associate This role focuses on managing AI controls within a financial institution, involving technical risk assessments of AI/ML use cases, evaluating model design, data quality, and potential failure modes. The manager will also develop and implement AI governance frameworks, policies, and control standards, and perform deep-dive technical reviews of AI solutions. The role requires strong Python skills, understanding of ML concepts, and the ability to translate complex AI technical concepts for non-technical stakeholders. Experience with GenAI/LLMs and financial services is preferred. | Eval GatePost-train | 7 |