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 |
|---|---|---|
| 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 |
| Senior Associate, AI ML Platform Engineering Senior Associate, AI ML Platform Engineering role at JPMorgan Chase, focused on building products for MLOps, automated governance, and ML data development. The role involves designing, developing, and deploying GenAI and Agentic AI solutions, including RAG-based systems, chat experiences, and tool-using agents. Responsibilities include engineering production-grade services, building data pipelines, applying MLOps practices, and implementing robust testing and observability for AI services. Requires strong software engineering skills in Java/Python, cloud experience (AWS), and familiarity with LLM application patterns. | AgentData | 8 |
| Applied AI/ML Lead Lead the design, development, and production deployment of AI/ML solutions for image classification, text categorization, and data extraction from scanned documents using computer vision and NLP models. Architect and implement scalable ML training and inference pipelines on AWS SageMaker, integrating with microservices and establishing MLOps practices. Build and manage a team of ML engineers and applied scientists. | ServePost-train | 8 |
| Data Scientist Lead Lead a team of data scientists in building and deploying advanced AI solutions for image classification, text categorization, and intelligent data extraction from scanned documents within the healthcare provider team at JPMorgan Chase. The role involves managing the full ML lifecycle, from prototyping to production deployment on AWS EKS, with a focus on multimodal document understanding. | ShipPost-train | 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 AIML -Executive Director Executive Director role focused on leading the design and delivery of large-scale recommendation, ranking, and personalization systems for a consumer banking division. The role involves applying ML, including LLMs, to improve customer experiences, leading a team, and ensuring systems are reliable, secure, and scalable. Core focus is on recommenders and personalization, with pragmatic use of GenAI to augment the stack. | ShipAgent | 8 |
| Applied AI ML Lead [Multiple Positions Available] Lead and mentor a team of AI/ML engineers in designing, building, and deploying GenAI and LLM applications, including custom model fine-tuning and agentic solutions, within a secure and scalable enterprise environment. Focus on end-to-end development, integration, and production deployment, with responsibilities spanning data pipelines, model evaluation, and architectural roadmapping. | 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 |
| 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 |
| SR Principal Software Engineer - LLM Engineering Senior Principal Software Engineer focused on LLM Engineering within JPMorgan Chase's Trust & Safety Fraud Prevention team. The role involves architecting, building, and optimizing model serving solutions, particularly for LLMs and GNNs, across cloud and on-premises environments. Key responsibilities include defining MLOps/LLMOps strategies, driving inference optimization for high throughput and low latency, creating reusable ML engineering frameworks, and ensuring observability, reliability, and cost efficiency in production AI workloads. | Serve | 8 |
| Applied AI ML Director - AGENT BUILDER PLATFORM Director of ML Engineering to lead the technical vision and execution for a core Agent SDK and the agentic systems it enables, focusing on building and scaling foundational toolkits for enterprise AI. | AgentServe | 8 |
| Business Modeling - Applied AI Modeling Executive Director Executive Director role focused on architecting and leading the development of next-generation AI/ML solutions for credit card and banking business decisions, managing the full AI/ML lifecycle from design to production deployment, and leading a team of AI/ML scientists and engineers. Emphasizes deep learning, advanced modeling, MLOps, and cloud-native deployment within a regulated financial services environment. | ShipAgent | 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 |
| Machine Learning and Optimization, Conversational AI, Product Manager- VP Product Manager (VP level) for Conversational AI within JPMorgan Chase's Machine Learning and Optimization team. The role involves defining AI/ML/NLP product strategy, leading projects from concept to delivery, and incorporating advancements in Gen AI, agentic systems, LLMs, and deep learning. Responsibilities include creating and tracking conversational AI metrics, collaborating with data annotation teams for training and evaluation data, managing the product backlog, and leading agile scrum teams. Requires expert-level NLP/ML experience, particularly in deep learning, LLMs, and agentic systems, with a proven ability to build large-scale AI systems and lead cross-functional teams. | AgentData | 8 |
| Applied AI ML-Vice President Vice President role focused on building, deploying, and governing production AI/ML models, including LLMs and generative AI systems, within a large financial institution. The role emphasizes model governance, monitoring, and leveraging generative AI for productivity and efficiency, with a strong focus on regulatory compliance and cross-functional leadership. | ShipAgent | 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 |
| AI/ML Engineer – Agentic Private Bank Engineer , Sr Associate Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes within a Private Bank setting. This role involves analyzing existing processes, designing autonomous AI agents, applying LLMs and ML techniques, and collaborating with stakeholders to solve complex business challenges through cloud-centric software delivery. | AgentData | 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 - Vice President Vice President in the CIB Technology team at JPMorgan Chase, focusing on analyzing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions. The role involves leading AI/ML initiatives, defining roadmaps, developing models for NLP, personalization, and recommendation systems, and operationalizing end-to-end ML pipelines for use cases like Document Q&A, Search, and Information Retrieval. It also includes building batch and real-time prediction pipelines, collaborating with various teams for production deployment, and working with LLMs and Gen AI solutions. | AgentPost-train | 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 |
| Principal Applied AI ML Engineer Principal AI/ML Engineer at JPMorgan Chase focused on building and operating LLM-powered APIs and agentic AI systems. The role involves designing agent architectures, writing production code, creating reusable components, managing the end-to-end ML lifecycle, optimizing inference, and embedding responsible AI practices. Requires strong Python, LLM/agentic AI experience, MLOps, and cloud deployment skills. | AgentServe | 8 |
| Generative AI - Lead Lead Generative AI Engineering role focused on designing, delivering, and improving production generative AI products and reusable backend APIs for firmwide adoption. This hands-on leadership position involves architecting scalable systems, setting technical direction for model-enabled services, ensuring reliability and responsible AI controls, and mentoring engineers. The role operates in production environments, emphasizing building at scale and driving execution against measurable outcomes. | ShipServe | 8 |
| Agentic AI Governance Director Director-level role focused on defining and implementing governance frameworks for agentic AI within a financial services context. The role involves establishing risk management, oversight, and best practices for multi-agent systems and autonomous AI, aiming to accelerate safe AI deployment and position the company as an industry leader. Requires deep technical understanding of AI/ML, agentic systems, and regulatory landscapes. | Agent | 8 |
| Generative AI - Senior Associate This role focuses on designing, building, and supporting production generative AI products and reusable backend APIs within a large enterprise. It involves combining enterprise data with LLMs and multimodal models to deliver scalable, measurable solutions, collaborating with ML, cloud, and SRE teams, and ensuring reliability, performance, and operational controls. The role emphasizes hands-on engineering, real-world constraints, and high-impact delivery. | ShipServe | 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 |
| Investment Risk & Analytics - Quant Modeling Senior Associate JPMorgan Chase is seeking a Quant Modeling Senior Associate with 5+ years of experience in data science, machine learning, or AI to join their Investment Risk & Analytics team. The role involves designing, developing, and deploying advanced AI/ML models, including generative AI and deep learning, for risk quantification and strategic decision-making. Responsibilities include the full AI/ML lifecycle, risk modeling, scenario analysis, and mentoring junior staff. Requires a strong background in statistics, mathematics, and programming in Python, with experience in investment products and data visualization. | AgentPost-train | 8 |
| Principal Software Engineer Principal Software Engineer at JPMorgan Chase focused on designing, implementing, and scaling AI/ML infrastructure and platforms on AWS. The role involves collaborating with teams, developing and optimizing ML models, leveraging Databricks, and leading the productionalization of Gen AI use cases. Requires strong experience in AI/ML engineering, LLM Ops, model serving, and fine-tuning. | ServePost-train | 8 |
| Applied AI/ML Data Scientist - Vice President This VP AI/ML Data Scientist role focuses on translating complex banking challenges into production-grade AI/ML and LLM solutions, including building intelligent agents and LLM-based systems for various banking use cases. The role involves end-to-end pipeline ownership, MLOps implementation, and ensuring governance and compliance in a regulated environment. | AgentServe | 8 |
| Applied AI ML Lead Lead an applied AI/ML team within a financial services context, focusing on developing and productionizing scalable, trustworthy, and explainable solutions. Responsibilities include defining technical vision, managing ML workflows, and applying expertise in areas like LLMs, NLP, RL, and advanced ML techniques including inference, fine-tuning, RAG, and prompt engineering. The role requires hands-on experience and leadership in building and operating AI/ML solutions. | 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 |
| Principal Architect: Transformative AI Principal Architect role focused on designing and delivering production-grade Generative AI and LLM systems, including agentic workflows, for financial services. Requires strong software engineering and ML engineering experience with cloud platforms and various programming languages and frameworks. | AgentServe | 8 |
| Principal Software Engineer Principal AI/ML and Gen AI Engineer at JPMorgan Chase focused on scaling AI/ML infrastructure and platforms for model serving and fine-tuning, with expertise in LLM Ops and productionalizing Gen AI use cases on AWS and Databricks. | ServePost-train | 8 |
| AI/LLM Product Director - Executive Director Product Director for AI/LLM initiatives, focusing on enterprise Search capabilities. The role involves overseeing the product roadmap, development, and execution of generative search solutions using technologies like RAG, Agents, SFT, and RLHF. Requires experience in the AI/LLM product lifecycle and operationalizing AI responsibly. | AgentPost-train | 8 |
| Lead Agentic Gen AI - Natural Language Querying Engineer, Vice President Lead engineer for an enterprise-scale generative AI and agentic AI initiative focused on natural language querying of structured and unstructured data. The role involves designing and deploying multi-agent systems, NLQ frameworks, and data pipelines, with a strong emphasis on production code quality and AWS infrastructure. | 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 |
| Sr Lead Software Engineer - Agentic AI Systems Senior Lead Software Engineer focused on architecting, building, and scaling autonomous AI agent systems. Requires deep experience in agentic AI, LLMs, Python frameworks (LangChain, etc.), cloud platforms, and vector databases. The role involves technical leadership and driving the delivery of production-grade AI agent systems. | 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 |
| Applied AIML & Gen AI Executive Director - Machine Learning Center of Excellence JPMorgan Chase's Chief Data & Analytics Office is seeking an Executive Director to lead Machine Learning initiatives. This role involves applying advanced ML techniques (NLP, speech, time series, RL, recommendations) to real-world problems, collaborating with cross-functional teams to deploy solutions, and developing large-scale frameworks for ML model application across the business. The position requires a strong background in ML/DL, experimental design, and communication skills, with a focus on production deployment within a regulated financial environment. | Ship | 8 |