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 |
|---|---|---|
| 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 |
| 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. | Agent |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| Data and Analytics - Business Insurance Data Science Executive Director Executive Director to lead analytics and AI strategy for a new insurance business, building a team and architecting AI-native capabilities across the value chain. Focus on deploying generative AI, agentic AI, and automation, and designing measurement frameworks. Requires deep ML expertise, team building, and executive communication. | AgentServe | 8 |
| Business Enablement - Vice President This role is for a Business Enablement Vice President within JPMorgan Chase's Commercial & Investment Bank (CIB) Chief Data & Analytics Office (CDAO), focusing on driving AI adoption in Payments and Banking. The role involves understanding business workflows, building AI solutions using internal tooling, writing production-grade Python code, and owning the technical architecture from prototype to production. It requires close collaboration with Technology and data science teams to deliver scalable AI solutions that meet firm standards. | Agent | 8 |
| Applied ML and Generative AI Leader - Executive Director Executive Director level Applied ML and Generative AI Leader responsible for designing, building, and running production-grade ML and Generative AI services for corporate functions. The role involves hands-on technical leadership, setting technical direction, establishing engineering standards, and ensuring solutions meet enterprise expectations for security, stability, and operational rigor. Key responsibilities include stakeholder partnership, mentoring junior engineers, building MLOps capabilities, fine-tuning models, conducting evaluations, and implementing monitoring. Requires strong programming, ML framework, cloud, and containerization experience, with a focus on applied AI/ML systems in production. | AgentPost-train | 8 |
| Applied AI ML Engineer-Senior Associate This role focuses on designing, developing, and deploying generative AI and machine learning solutions within the Corporate & Investment Bank. The engineer will work on automating and optimizing business processes using AI/ML, with a strong emphasis on production deployment, MLOps, and utilizing generative AI models. Experience with AWS SageMaker/Bedrock, MLOps, ML frameworks, Python, testing, and generative AI models is required. | AgentServe | 8 |
| Risk Management - Model Risk Program Associate This role focuses on designing, building, and deploying AI and LLM-based solutions to transform model risk management processes within JPMorgan Chase's AI Center of Excellence. The associate will conduct independent model validation and governance, with a focus on AI/ML, LLM, and Generative AI systems, and enable other teams to leverage AI tools effectively. | AgentEval Gate | 8 |
| Agentic AI Data Lead Software Engineer Lead Software Engineer for a Data Products Framework platform that uses AI/Agentic AI to enable users to discover, design, build, and productionize governed data products at enterprise scale on AWS. The role involves leading a team, setting technical vision, and architecting AI/Agentic AI layers including intent agents, NLP Text-to-SQL, Knowledge Graphs, RAG, Vector Databases, and Agent-to-Agent communication. | Agent | 8 |
| Senior Lead Security Engineer, AI Senior Lead Security Engineer focused on designing and delivering secure AI solutions for cyber use cases, including LLM/RAG services and ML pipelines. Responsibilities include establishing security standards, building evaluation harnesses, partnering with platform teams, implementing monitoring, and collaborating with governance. The role emphasizes shipping secure, reliable AI features with clear metrics and post-deployment monitoring, and driving a roadmap of key capabilities. | AgentServe | 8 |
| AI/ML Product Manager - Payments - Vice President Product Manager (VP level) for AI-enabled automation in a payments platform, focusing on defining product strategy, driving roadmap, and leading PoCs for ML (anomaly detection) and LLM-based systems (RAG, agentic orchestration). Responsibilities include translating business needs into requirements, partnering with engineering on LLM/RAG solutions, defining success metrics, and managing end-to-end delivery in a complex, regulated environment. | AgentData | 8 |
| Applied Artificial Intelligence/ Machine Learning Lead - Vice President JPMorgan Chase is seeking an Applied AI/ML Vice President for their Global Private Bank. This role involves owning the full lifecycle of high-impact models for wealth management, lending, and advisory, from problem framing to production deployment. The position requires expertise in NLP, LLM fine-tuning, RAG, prompt engineering, and multi-step AI agents, with a focus on building AI-native capabilities at scale within a regulated financial services environment. | AgentShip | 8 |
| Sr Lead Software Engineer - Cloud / ML / GenAI Senior Lead Software Engineer focused on ML and GenAI solutions within Public Cloud Engineering at JPMorgan Chase. The role involves leading architecture, development, and production deployment of ML/LLM solutions, applying modern GenAI workflows, and ensuring responsible AI practices. Responsibilities include designing and implementing end-to-end ML/LLM solutions, productionizing models on public clouds using Kubernetes, establishing evaluation methodologies, and collaborating with stakeholders. | AgentPost-train | 8 |
| Finance Decision Optimization - Data Scientist Lead Lead Data Scientist focused on building and deploying agentic AI systems within a finance decision optimization group. This role involves architecting foundational agentic workflows, including tool/function calling, multi-step reasoning, and orchestration, while establishing technical standards for production deployment. Responsibilities include designing retrieval layers (RAG), defining agent success metrics, building evaluation harnesses, and implementing guardrails and human-in-the-loop checkpoints for safety and auditability. The role also requires building scalable data pipelines and predictive models using big data technologies, leading backtesting and validation, and staying current with AI trends. | AgentData | 8 |
| Applied AI ML Director Director level role leading a team of senior AI engineers to build and deploy production-grade agentic AI systems in a regulated financial services environment. Responsibilities include defining architectures, setting standards, ensuring operational excellence, and mentoring the team. | Agent | 8 |
| Applied AI/ML - Vice President JPMorgan Chase is seeking an Applied AI/ML Vice President to lead the analysis of complex business problems, design and experiment with state-of-the-art models, and develop robust machine learning and deep learning solutions. The role involves applying expertise in ML toolkits and algorithms to identify, build, and deliver solutions with measurable business impact, collaborating with product owners, data engineers, and software engineers to architect and implement new systems and capabilities. Responsibilities include leading AI/ML initiatives, defining roadmaps, developing ML models for NLP, personalization, and recommendation systems, creating end-to-end ML pipelines, and operationalizing model orchestration for use cases like Document Q&A, Search, and classification. The role also requires building batch and real-time prediction pipelines, conducting large-scale data modeling experiments, explaining complex concepts, and deploying solutions into production in collaboration with various partner teams. | AgentPost-train | 8 |
| Applied AI ML Director Director role focused on applying AI/ML, particularly LLM-driven workflows and agentic systems, within a regulated fintech environment. Responsibilities include setting technical direction, building teams, establishing evaluation and governance practices, and advising on strategy for GenAI solutions. | AgentEval Gate | 8 |
| Applied AI ML Director Director role focused on applying AI/ML, particularly LLM-driven workflows and agentic systems, within a regulated fintech environment. Responsibilities include setting technical direction, building teams, establishing evaluation and governance practices, and advising on strategy for GenAI solutions. | AgentEval Gate | 8 |
| Executive Director Principal Software Engineer - Agentic Engineering Executive Director Principal Software Engineer to lead the design, build, and scaling of a next-generation multi-agent AI platform within the Corporate and Investment Bank Technology – Securitized Product Group Technology team. The role involves writing production code, owning architectural decisions, unblocking engineers, and setting multi-year strategy. Responsibilities include owning agentic platform strategy (toolchains, RAG, memory, context, evaluation, feedback loops), architecting multi-agent systems with frameworks like LangChain/LangGraph/AutoGen, designing distributed ingestion/workflow systems, establishing standards for the agentic development lifecycle, contributing directly in Python, leading reviews, and building reusable agent components. | Agent | 8 |
| Data Scientist Lead - Vice President Lead Data Scientist at JPMorgan Chase, responsible for building and deploying secure, scalable, production-grade AI/ML solutions, with a focus on generative AI applications and operating within regulated environments. This role involves applied research, model development, MLOps, and mentoring. | AgentPost-train | 8 |
| Applied Artificial Intelligence Machine Learning, Sr Associate Senior Associate role focused on developing and implementing GenAI and Agentic AI solutions for financial services, involving data collection, model experimentation, deployment, and stakeholder communication. The role emphasizes applying LLMs and ML techniques to solve business problems and enhance client services. | AgentData | 8 |
| Applied AI ML-Vice President As an Applied AI/ML Vice President in the AI for Operations organization at JPMorgan Chase, this role focuses on designing, building, and scaling NLP solutions to improve customer and internal agent experiences. The position involves hands-on work across the model lifecycle, translating operational needs into production-grade language capabilities like intelligent search, summarization, classification, and next-best-action recommendations. The role emphasizes applying technical judgment to choose appropriate methods (including LLMs), evaluating performance, and ensuring solutions are reliable, secure, and scalable. | Agent | 8 |
| Applied AI ML-Executive Director Executive Director for Applied AI/ML in AI for Operations at JPMorgan Chase, focusing on designing, building, and scaling cutting-edge NLP solutions for customer and internal agent experiences. The role involves applying LLM-based methods, rigorous metrics, and ensuring solutions are reliable, secure, and scalable. Responsibilities include full product development lifecycle, advanced analytics, and system development in NLP and machine learning, with a focus on intelligent search, summarization, classification, and next-best-action recommendations. | Agent | 8 |
| Machine Learning Engineer – Document Digitization (LLMs)-Senior Associate Machine Learning Engineer focused on applying LLMs and AI to document digitization within a financial services context. Responsibilities include the full ML lifecycle from training to deployment and monitoring, building scalable pipelines, and ensuring security and compliance. | AgentData | 8 |
| Applied AI ML-Senior Associate As an Applied AI/ML Senior Associate in the AI for Operations organization, this role focuses on designing, building, and scaling NLP solutions for customer and internal agent experiences within a financial services context. Responsibilities include analyzing data, developing models, ensuring reliability and scalability, and mitigating risks associated with ML systems, particularly LLMs for tasks like search, summarization, and classification. | Agent | 8 |
| Applied AI/ML Lead Lead Applied AI/ML Scientist role focused on developing and deploying agentic systems using LLMs and other AI solutions for payment processes, fraud detection, and customer experience enhancement within a financial services context. Requires strong Python, ML/DL framework, and agentic system tooling experience, with a focus on scalability, regulatory compliance, and translating model outcomes into business impact. | Agent | 8 |
| Applied AI ML-Vice President Vice President role in AI for Operations at JPMorgan Chase, focusing on designing, building, and scaling NLP solutions for customer and internal agent experiences. The role involves applying LLM-based methods, evaluating performance, and ensuring solutions are reliable, secure, and scalable. Responsibilities include full product development lifecycle, advanced analytics, and contributing to continuous learning. | Agent | 8 |
| Applied AI ML-Senior Associate As an Applied AI/ML Senior Associate in the AI for Operations organization at JPMorgan Chase, this role focuses on designing, building, and scaling cutting-edge Natural Language Processing (NLP) solutions to improve customer and internal agent experiences within the Consumer & Community Banking division. The role involves applying LLM-based methods and advanced analytics to solve complex business problems, working across the full model lifecycle from defining objectives to production deployment, and contributing to operational workflows through intelligent search, summarization, classification, and next-best-action recommendations. | Agent | 8 |
| Applied AI ML Lead Lead the design, development, and deployment of advanced AI, GenAI, and large language model solutions, acting as a subject matter expert and collaborating with cross-functional teams to deliver scalable, production-ready AI systems. This role involves end-to-end Python development, integrating generative AI, driving adoption of ML infrastructure, optimizing performance, and ensuring responsible AI practices and governance within a fintech domain. | AgentServe | 8 |
| Lead Software Engineer - AI/ML and IaC Lead Software Engineer focused on AI/ML and Infrastructure as Code (IaC) within a financial services technology team. The role involves designing, developing, and deploying AI/ML models and agent-based systems for automation, including IaC development, CI/CD enhancement, and AI-powered observability. Requires strong experience in AI/ML engineering, agent-based systems, IaC automation, observability tools, and programming languages like Python or Java. | AgentServe | 8 |
| Applied AI ML and Context Engineer - Lead Lead engineer to build and deploy generative AI, agentic AI, and LLM solutions, focusing on context engineering, semantic modeling, and unified semantic layers within a regulated financial services environment. This role involves end-to-end development from proof-of-concept to production, including data pipelines, model training, evaluation, and responsible AI practices. | AgentData | 8 |
| Lead Software Engineer Lead Software Engineer for JPMorgan Chase's Consumer & Community Banking division, focusing on designing and building critical technology solutions for Chase AI components like Chase Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance. The role involves creating secure, high-quality production code, executing software solutions, producing architecture and design artifacts, and troubleshooting complex problems. Key responsibilities include adopting new technologies for agentic solutions, collaborating with cross-functional teams, leading code reviews, mentoring junior engineers, and ensuring compliance with security, privacy, and regulatory requirements. Requires hands-on experience building agentic systems using LLMs/SLMs, proficiency in Java/Python, experience with Spring AI or Python frameworks, AWS, and understanding of LLM patterns like function calling, RAG, and safety guardrails. | Agent | 8 |
| Senior Associate -Applied AI Data Scientist Senior Associate role focused on building and scaling production LLM agents for finance workflows, involving RAG, tool use, multi-step reasoning, evaluation frameworks, guardrails, and MLOps practices on cloud platforms. | Agent | 8 |
| Applied AI/ML - Vice President This role focuses on applying AI/ML and GenAI solutions within the Home Lending sector of JPMorgan Chase. The Lead will design, develop, and deploy AI/ML/GenAI solutions, including LLMs, RAG, NLP, and AI Agents, and build MLOps/LLMOps pipelines on cloud platforms. The role requires extensive experience in applied AI/ML engineering, production deployment, and proficiency with ML frameworks and cloud technologies. | AgentServe | 8 |
| AI/ML Engineer – Agentic Private Bank Engineer , Vice President Lead the development and implementation of GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes within JPMorgan Chase's Private Bank. This role involves designing, deploying, and managing prompt-based models on LLMs, conducting research on prompt engineering, and building data pipelines and evaluation frameworks for these models on cloud platforms. | Agent | 8 |
| Data Scientist Associate - Corporate & Investment Banking This role focuses on applying data science and generative AI to create client-focused innovations within JPMorgan Chase's Merchant Services. The Data Scientist Associate will execute analytics projects, build intelligent solutions using LLMs and agent-based patterns for payments insights and performance improvement, and prototype AI features. Responsibilities include developing data pipelines, designing and executing tests, monitoring performance, and collaborating with various stakeholders. | Agent | 7 |
| Lead Software Engineer - Databricks/PySpark/AI Lead Software Engineer responsible for building and optimizing data pipelines, retrieval systems, and tool integrations to power agentic AI systems. Focuses on data infrastructure, production code, and mentoring junior engineers. | Agent | 7 |
| GenAI & Agentic Product Manager, Vice President Product Manager for an Agentic and Generative AI platform within a financial services company, focusing on delivering scalable AI products and collaborating with engineering, data science, and business teams. | Agent | 7 |
| Senior Product Associate Product Associate role at JPMorgan Chase focused on data transformation and innovation within Corporate & Investment Banking. The role involves supporting product strategy and delivery for data and AI-enabled capabilities, translating user needs into requirements, and partnering with business, technology, and data teams. Key responsibilities include designing and delivering AI-enabled product capabilities, including experience with multi-agentic workflows and AI orchestration patterns, and understanding financial data models. | Agent | 7 |
| Agentic AI Principal Software Engineer - Executive Director MarTech Lead Principal Software Engineer focused on Agentic AI and LLMs for MarTech within a financial institution. The role involves leading the design and development of AI-driven solutions to automate lead qualification and engagement, integrating these capabilities into existing platforms. Requires strong software engineering and ML engineering experience with a proven track record of shipping production systems. | Agent | 7 |