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, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
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 AI/ML Engineer Lead AI/ML Engineer (VP level) at JPMorgan Chase, focusing on designing and delivering enterprise-scale AI/ML solutions, particularly LLM-based systems and agent workflows. The role involves hands-on coding, setting engineering standards, defining architectural patterns, and ensuring production readiness with strong observability and operational rigor. It emphasizes building Copilot-integrated solutions and managing the AI/ML lifecycle. | AgentServe | 8 |
| Director of Software Engineering - Workplace Technology Director of Software Engineering leading a team to develop and deploy phygital AI solutions leveraging IoT and edge-to-cloud computing. Focus on integrating AI/ML with IoT ecosystems for real-time analytics and scalable solutions. | Serve |
| 7 |
| Lead Software Engineer - AI Lead Software Engineer role focused on building AI-powered automation and IoT solutions, integrating LLM capabilities into business workflows and smart building systems. Requires strong full-stack development, system design, and experience with LLMs, generative AI use cases (RAG, agents, orchestration, evaluation/guardrails), and cloud-native microservices. | Agent | 7 |
| Software Engineer III - AI & IoT Software Engineer III role focused on building and enhancing full-stack, cloud-native applications that integrate IoT data and LLM/generative AI capabilities for automation and workplace experiences. Responsibilities include software execution, production code, design artifacts, full-stack development, integrating AI/IoT features, data analysis, and troubleshooting. Requires strong system design, Java proficiency, experience with LLMs/generative AI productization, distributed systems, cloud platforms, microservices, and IoT architectures. | Agent | 7 |
| Lead Security Engineer - AI/ML Lead Security Engineer focused on AI/ML security, red teaming, and adversarial resilience for generative AI, RAG pipelines, and ML systems within a large enterprise. Responsibilities include developing security strategies, designing secure architectures, reducing vulnerabilities, conducting threat modeling, and implementing AI red teaming methodologies. | AgentEval Gate | 7 |
| Director of Security Engineering Director of Security Engineering leading a global team to build and operate security platforms, including an AI-powered security copilot for risk identification and remediation, and firm-wide endpoint/server anti-virus capabilities. Focus on embedding security by design and delivering automated security outcomes. | Agent | 7 |