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 |
|---|---|---|
| Applied AI Lead Lead the design, build, and deployment of end-to-end AI solutions, focusing on LLMs and agentic systems for business insights in a financial services context. This role involves advanced applied research, AI engineering, and data science expertise, with a strong emphasis on leading technical teams and driving complex initiatives. | AgentPost-train | 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 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 |
| Software Engineer III - Applied AI Software Engineer III - Applied AI at JPMorgan Chase, focused on developing and deploying generative AI applications and agents, with expertise in MLOps, AWS, and integrating user feedback for self-improving systems within the fintech domain. | AgentServe | 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 |
| Lead Software Engineer- Agentic Gen AI / NLP Lead Engineer for Agentic Generative AI and Natural Language Querying solutions within Risk Technology at JPMorgan Chase. Focuses on designing, deploying, and scaling multi-agent systems, AI frameworks, and data pipelines for querying structured and unstructured data via natural language. Requires strong Python, system design, and AWS experience, with specific mention of LangGraph for orchestration. | 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 Artificial Intelligence & Machine Learning - Vice President JPMorgan Chase is seeking a Vice President for their Applied Artificial Intelligence & Machine Learning team in Mumbai. This role focuses on developing and deploying scalable ML solutions for KYC and operations, with potential for commercialization. The position requires a Master's or PhD in a quantitative field, strong Python skills, and experience deploying ML models in production at scale. Experience with NLP, LLMs, and Agentic AI systems is preferred. | AgentServe | 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 |
| Investment Risk & Analytics - Quant Modeling Associate JPMorgan Chase is seeking a Quant Modeling Associate with 3+ years of experience in AI/ML to design, develop, and deploy advanced AI/ML models for investment risk oversight. The role involves the full lifecycle of AI/ML initiatives, including data engineering, model development, validation, deployment, and monitoring, with a focus on generative AI and deep learning techniques. The associate will collaborate with technology teams, present findings, and stay updated on AI trends, while also participating in governance and regulatory discussions. | AgentData | 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 |
| Embedded AI - CIB Chief Analytics office JPMorgan Chase's Commercial and Investment Bank Chief Analytics Office is seeking an Embedded AI Senior Associate to accelerate high-impact AI programs, focusing on generative AI, LLMs, and Agentic AI. The role involves close collaboration with business experts and analytics/technology teams for end-to-end delivery of AI solutions, ensuring responsible AI use and staying updated with cutting-edge research. Responsibilities include identifying AI solutions, analyzing data, communicating insights to senior stakeholders, and delivering AI solutions. | Agent | 8 |
| Agentic Development - Vice President The role focuses on developing and deploying modular components for agentic systems, enabling intelligent automation and orchestration within business platforms. It involves integrating these capabilities into existing systems, containerizing and deploying them on cloud platforms, and applying advancements in agentic frameworks, LLMs, and GenAI. The role also includes leading a team of senior resources focused on agentic solutions and infrastructure development. | Agent | 8 |
| Agentic Development Associate Develops and maintains modular components for agentic systems, integrating AI/ML initiatives, containerizing and deploying on cloud platforms, and leveraging agentic frameworks, LLMs, and GenAI. Requires hands-on experience with agentic systems in production and strong Python skills. | Agent | 8 |
| Applied AI Engineer - Agentic Systems - Senior Associate Senior Associate Applied AI Engineer focused on building and deploying agentic AI systems, including multi-agent architectures, RAG pipelines, and tool integration, within a financial services context. The role involves productionizing autonomous agents, orchestrating complex workflows, and ensuring safety through prompt engineering and guardrails. | Agent | 8 |
| Applied AI/ML Lead Lead role focused on designing, deploying, and managing prompt-based LLM models for NLP tasks in financial services. Involves research into prompt engineering, LLM orchestration, agentic AI, building data pipelines, and developing tools for model training, evaluation, and optimization. Requires strong Python, PyTorch/TensorFlow, cloud platform, and MLOps experience. | AgentData | 8 |
| Data Scientist - Modelling Build and improve machine learning models and analytics that translate data into measurable business outcomes. This role focuses on planning, developing, and executing analytical projects, partnering with developers for implementation, and evaluating model performance. Experience with generative AI, agent-based workflows, and RAG systems is required. | AgentData | 7 |
| Lead Software Engineer-AI Lead Software Engineer focused on building and shipping production-grade, multi-agent AI systems for automating the software delivery pipeline at enterprise scale. The role emphasizes end-to-end ownership of agent capabilities, with a focus on reliability, evaluation, observability, and cost-per-session. This is an engineering role focused on production systems, not research. | Agent | 7 |
| Product Manager - Customer Onboarding (Agentic AI Specialist) Product Manager for Customer Onboarding in Consumer Banking, focusing on AI capabilities. The role involves defining product strategy, leading development of new offers and account opening features, and driving the adoption of AI, including prompt-building and workflow automation using Agent Builder. Key responsibilities include identifying AI use cases, designing automated workflows with guardrails and monitoring, establishing AI standards, and partnering with cross-functional teams. Requires strong prompt engineering skills and experience with AI product practices in a regulated environment. | Agent | 7 |
| Senior Director of Software Engineering Senior Director of Software Engineering at JPMorgan Chase leading multiple technical domains, managing teams, and driving strategic platform development. The role focuses on scaling agentic AI-enabled engineering and SDLC/TLM automation across departments, establishing governance, and ensuring responsible AI adoption. Requires deep expertise in software engineering, cloud, CI/CD, databases, and demonstrated experience with AI/ML, LLMs, and Generative AI. | Agent | 7 |
| Risk Management - Firmwide Reputation Risk - Vice President This role focuses on developing and deploying AI/GenAI solutions within a financial services risk management context, specifically for reputation risk. The VP will help set the AI strategy, build and scale AI products, and integrate AI trends into risk management workflows, with experience in language models, prompt engineering, and fine-tuning being crucial. | Agent | 7 |
| Director of Software Engineering Director of Software Engineering at JPMorgan Chase, leading technical areas and promoting impact across teams. Focuses on identifying and evaluating AI-powered capabilities, driving technical vision, and overseeing the delivery of solutions. Responsible for setting direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, including establishing guardrails and applying AI tools in software development. Manages technology teams and influences stakeholders. | Agent | 7 |
| Director of Software Engineering Director of Software Engineering at JPMorgan Chase to lead a technical area and drive impact within teams, technologies, and projects. The role involves setting direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, applying knowledge of AI-assisted development tools, and leading the adoption of agentic AI-enabled engineering practices. Requires strong understanding of responsible AI use and control expectations in engineering workflows. | Agent | 7 |
| Senior Product Associate Product Associate role focused on defining, building, and scaling AI-powered coaching agents and solutions for employee performance support within a large enterprise. The role involves owning the product lifecycle, collaborating with stakeholders, and ensuring adherence to governance and ethical standards. | Agent | 7 |
| Senior Product Transformation & Agentic AI Lead Lead agentic AI adoption and transformation within product teams at JPMorgan Chase, focusing on integrating AI into workflows for discovery, planning, delivery, and continuous improvement. The role involves coaching, prototyping, translating technical concepts, and guiding teams through operational shifts to scale AI responsibly, while establishing feedback loops for measuring outcomes and partnering with leadership to shape the future-state product operating model. | Agent | 7 |
| Data Scientist Associate Develops and integrates generative AI use cases, focusing on agentic workflows and AI agents within the Cards Data & Analytics team at JPMorgan Chase. Builds data pipelines, prototypes AI features, and monitors AI model performance. | AgentServe | 7 |
| Quantitative Trading & Research - Systematic Trading - Associate Quantitative trading role focused on end-to-end alpha research and strategy deployment in equity derivatives and volatility markets, leveraging advanced data analytics, statistical modeling, and machine learning. The role involves feature engineering, building calibration/attribution/monitoring frameworks, and partnering with trading for strategy implementation, execution, hedging, and risk management. It also includes building reusable research libraries and tooling, with a plus for leveraging AI/ML and AI tooling for research acceleration and developer productivity, including AI productionization and AI agents. | AgentServe | 7 |
| Director of Software Engineering Director of Software Engineering to lead technology and process implementations, focusing on agentic AI-enabled engineering and SDLC/TLM automation. The role involves setting direction, governance, and driving adoption of AI practices across teams, ensuring responsible AI use, security, and scalability within enterprise workflows. | Agent | 7 |
| Data Science Senior Associate - Card Data & Analytics team Develops and implements AI/ML solutions, including GenAI and LLM-enabled applications, for the Credit Card business, focusing on driving data science and analytics strategies and delivering actionable insights. | AgentPost-train | 7 |
| Personalization - Product, Senior Associate Product role focused on leading the strategy and execution of ML-powered personalization and next-best-action capabilities, including agentic solutions, across various channels. The role involves translating research into roadmaps, collaborating with data science and ML engineering, running experiments, and operationalizing model lifecycle infrastructure within a regulated financial environment. | AgentShip | 7 |
| Sr Director of Software Engineering Senior Director of Software Engineering to lead multiple technical areas and departments, driving the adoption and implementation of agentic AI-enabled engineering and SDLC/TLM automation within a financial services context. The role focuses on setting and scaling strategy, establishing governance, and ensuring responsible AI practices. | Agent | 7 |
| Fraud AI/ML Platform Product Director Product Director for a next-generation, real-time fraud intelligence platform using advanced ML and AI. The role involves defining product vision and roadmap, building capabilities for fraud detection (rings, coordinated attacks, multi-step schemes), driving innovation in feature engineering, graph-based risk detection, and sequence modeling. Key responsibilities include productizing graph intelligence, establishing model lifecycle standards, embedding governance, and partnering cross-functionally. Requires experience in ML-enabled products, adversarial domains, and technical fluency in applied ML and data systems. | AgentServe | 7 |
| Data Scientist [Multiple Positions Available] This role focuses on building and managing reports, dashboards, and analytical tools, migrating to cloud architectures, and leading the design, prototyping, and strategy for advanced modeling, predictive analytics, and generative AI solutions for Merchant Services. It involves orchestrating AI agent systems, developing BI products using generative AI and LLMs, prompt engineering, fine-tuning, and RAG, as well as designing statistical and dynamic pricing models. The role also includes product pricing strategy, profitability analysis, and modeling network fee impacts. | Agent | 7 |
| Legal GenAI Enablement - AI Practitioner - Senior Associate This role focuses on building and shipping Generative AI solutions, specifically no-code Assistants, Skills, and workflows, for the Legal department using the firm's LLM Suite platform. The practitioner will work closely with attorneys to understand workflows, design, prototype, and iterate on solutions, ensuring they are shepherded through governance into production. The role emphasizes practical application of the Generative AI stack, prompt engineering, and contributing to a reusable component library, rather than deep data science or full-stack engineering. | Agent | 7 |
| Senior Director of Software Engineering - Trust & Security Senior Director of Software Engineering to lead multiple technical areas and departments, focusing on identity, authentication, and customer access technology. The role involves driving the adoption and implementation of AI and automation for CIAM modernization, password-less adoption, and developer productivity. Key responsibilities include setting strategy for agentic AI-enabled engineering, defining agentic capabilities for CIAM use cases, and ensuring safety, guardrails, and auditability. Requires extensive experience in leading large teams, cloud-native technologies (AWS), IAM standards, and deep understanding of responsible AI risk and controls. | Agent | 7 |
| Data Scientist Lead - Payments Lead Data Scientist role focused on building GenAI applications, virtual assistants, and workflow automations using multi-agent AI patterns within the Payments domain. Responsibilities include translating business problems into AI solutions, designing prompts, and driving iterative development and production monitoring of agentic solutions. | Agent | 7 |
| Lead Software Engineer - AI Developer Lead Software Engineer for AI Developer role at JPMorgan Chase, focusing on building conversational AI applications using RAG architectures, AI orchestration frameworks, and prompt engineering. Requires strong programming skills in Java, Python, or Node.js, and experience with AWS services and CI/CD. | Agent | 7 |
| Lead Software Engineer - AI Developer Lead Software Engineer for AI Developer role at JPMorgan Chase, focusing on building conversational AI applications using RAG architectures and AI orchestration frameworks. Requires strong proficiency in Java, Python, or Node.js, AWS services, and prompt engineering. | Agent | 7 |
| Image Applied AI ML Director Executive Director to architect and operationalize the AI strategy for Image as a Service, focusing on improving engineering efficiency, standardizing solutions, and institutionalizing responsible AI practices. The role involves leading the development of an infrastructure digital twin and establishing a use case governance framework. | Agent | 7 |
| Lead Software Engineer - Python and AI/ML Lead Software Engineer to build an AI-Native SDLC Agent Fabric using multi-agent systems, LLM orchestration, and AI toolchains on AWS. The role involves designing and implementing LLM-driven agent services, developing orchestration layers, integrating AI agents with toolchains, and providing technical leadership. | Agent | 7 |
| AI Product Director - Email Domain AI Product Director for Email Domain at JPMorgan Chase, focusing on building next-generation AI and autonomous agents for operations. The role involves defining AI product strategy, leading product managers and engineers, and driving critical initiatives using agentic AI and LLMs. | 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 |
| Lead Software Engineer - Java, AI, AWS Lead Software Engineer role focused on designing, developing, and implementing AI and data engineering solutions, including Agentic AI systems, within a financial technology context. The role involves integrating AI models and autonomous agents into production systems using Java and AWS, with a strong emphasis on secure, stable, and scalable development. | AgentData | 7 |