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 |
|---|---|---|
| Sr Director of Software Engineering - AI/ML platforms (Intelligent Agentic Systems, RAG, LLM Architectures) Senior Director of Software Engineering leading AI/ML platforms, focusing on intelligent agentic systems, RAG, and LLM architectures within a financial services context. The role involves managing multiple departments, driving adoption of advanced ML/AI solutions, overseeing the end-to-end project lifecycle, and developing high-performing teams. Requires extensive experience in ML/AI platforms, MLOps, LLM architectures, RAG, fine-tuning, agentic systems, and search technologies. | Agent | 9 |
| Applied AI ML Director Seeking an Applied AI/ML Engineering Director to lead the adoption of AI-powered solutions within Consumer & Community Banking. The role involves architecting, developing, and productionizing ML models, agentic AI systems, and intelligent platforms, with a focus on accelerating developer productivity through AI tooling and practices. Responsibilities include leading technical direction, designing end-to-end AI systems like RAG and intelligent agents, experimenting with new AI technologies, and establishing best practices for AI integration. |
| AgentServe |
| 8 |
| Applied AI ML Lead Lead engineer to build an AI-Native SDLC Agent Fabric using multi-agent systems, LLM Orchestration, and AI toolchains on AWS. Responsibilities include designing and implementing LLM-driven agent services, developing orchestration layers, integrating AI agents with toolchains, and providing technical leadership. | Agent | 8 |
| Predictive Science - AI Engineering & Prompt Architecture Lead - Vice President Lead a team of prompt engineers and AI/ML developers in building intelligent document processing and data extraction solutions for KYC/AML. Architect agentic workflows, design evaluation frameworks, operationalize prompt lifecycle management, guide model selection, design RAG architectures, oversee fine-tuning/training, and build evaluation infrastructure. Requires strong LLM internals, prompt architecture, RAG, fine-tuning, and ML engineering skills, with experience in AI evaluation systems and LLM failure modes. Domain expertise in KYC/AML and experience with autonomous AI agents are preferred. | AgentData | 8 |
| Data Scientist Associate Data Scientist Associate role focused on designing, deploying, and managing prompt-based LLM solutions for financial services. The role involves prompt engineering, LLM orchestration, building data pipelines for LLMs, and integrating models into applications, with a strong emphasis on MLOps and cloud deployment. | AgentData | 8 |
| Director of Software Engineering - Python, Gen AI Director of Software Engineering role focused on building and shipping production AI solutions within a fintech domain, specifically leveraging the GenAI stack for financial applications. The role involves end-to-end development, RAG pipelines, prompt engineering, agentic workflows, and collaboration with business and control partners. Emphasis on practical application of AI, modern software engineering practices, and AI-assisted development tools. | AgentShip | 8 |
| Lead Software Engineer - Applied AI Engineer (Agentic/ Gen AI) Lead Software Engineer focused on building and productionizing agentic AI solutions and LLM orchestration within an enterprise setting. The role involves owning the end-to-end lifecycle of AI systems, including data pipelines, RAG, evaluation frameworks, and MLOps practices, with a strong emphasis on Python and cloud services. | AgentServe | 8 |
| Lead Software Engineer - Applied AI Engineer (Agentic/ Gen AI) Lead Software Engineer focused on building and productionizing agentic AI solutions, including agents, orchestrators, tool integrations, and RAG pipelines. The role involves owning the end-to-end lifecycle of AI systems, from prototyping to deployment and monitoring, with a strong emphasis on Python and Java development, cloud services, and MLOps practices. | AgentServe | 8 |
| Data Scientist lead - Applied AI/ML- Agentic/Gen AI, Python Lead Data Scientist focused on designing, deploying, and managing prompt-based LLM models for NLP tasks in financial services. The role involves research into prompt engineering, LLM orchestration, agentic AI, building data pipelines for LLMs, and developing tools for model training, evaluation, and optimization. Requires strong Python, PyTorch/TensorFlow, cloud platform experience, and MLOps practices. | AgentData | 8 |
| Associate Client Advanced Analytics Associate Client Advanced Analytics role at JPMorgan Chase focused on building ML models for segmentation and prediction, and delivering GenAI solutions to boost advisor and marketer productivity and personalization. The role involves stakeholder engagement, analyzing client behavior, developing data models, and implementing various ML techniques within AWS environments and LLM APIs. | AgentPost-train | 8 |
| Vice President – Data Scientist Lead (LLM/GenAI) Lead the design and delivery of LLM-powered solutions for commercial banking use cases like content extraction, enterprise search, reasoning, summarization, and recommendations. Partner with engineering and product teams to deploy reliable, scalable, and governed GenAI capabilities using Amazon Bedrock and Cortex, with a strong emphasis on evaluation, guardrails, and production-grade MLOps. | AgentServe | 8 |
| Sr.Manager Software Engineer Sr. Manager of Software Engineering for an AI/ML Solutions technology team focused on building and enhancing AI/ML platforms, Gen AI use cases, LLM fine-tuning, and multi-agent orchestration. The role involves hands-on code development, team management, and adopting best practices in software engineering and MLOps. | AgentPost-train | 8 |
| WCR- Quantitative Research - Associate This role focuses on building and deploying AI/ML/LLM/GenAI solutions, with a strong emphasis on fine-tuning generative models for specific use cases, building AI agents, and implementing RAG-based solutions. The role also involves developing data pipelines, evaluating models, and communicating results. | AgentPost-train | 8 |
| Sr. Lead Architect-Applied AI/ML Senior Lead Architect role focused on designing and developing an AI/ML platform, managing engineering teams, and driving the adoption of AI/ML solutions within financial services. The role involves overseeing the end-to-end lifecycle of AI/ML projects, ensuring scalability, performance, and compliance. | ServeAgent | 8 |
| Data Domain Architect Lead - Data & Annotation Lead data labeling initiatives for financial industry ML models, focusing on creating reliable datasets, managing annotation operations, and driving innovation in data quality and evaluation, including LLM-as-judge and agentic workflows. | DataAgent | 8 |
| Applied AI ML Lead - Agentic AI Lead a team of software engineers to architect and develop an enterprise-grade Agentic AI platform, focusing on multi-agent orchestration, tool integration, memory, RAG, guardrails, observability, and evaluation. This role requires strong technical leadership in AI agents and people management skills to drive strategic vision and hands-on work. | Agent | 8 |
| Applied AI ML Associate Senior Senior Applied AI/ML Engineer to build and operate LLM-driven applications and ML products in a regulated fintech environment. Focus on agentic frameworks, prompt optimization, and fine-tuning LLMs, with a secondary focus on post-training techniques. | AgentPost-train | 8 |
| Data Scientist Senior Associate - Applied AI ML Senior Associate Data Scientist focused on applied AI/ML, specifically GenAI and LLMs, for fintech. Responsibilities include designing, developing, and deploying AI systems, integrating GenAI into platforms, optimizing performance, and ensuring responsible AI governance and compliance. Requires strong Python, ML framework, and MLOps experience, with a focus on agentic workflows and production deployment. | AgentServe | 8 |
| AWM Quant Modelling- Senior Associate Senior Associate Data Scientist role in JPMorgan's AWM Risk Analytics Group, focusing on developing and deploying AI/ML models for risk management. Responsibilities include identifying use cases, leading model development (NLP, LLMs), prompt engineering, quantization, evaluation, data onboarding, model optimization, and contributing to risk methodologies. Requires experience with Python, SQL, R, PyTorch/TensorFlow, AWS, and frameworks like LangChain. | AgentPost-train | 8 |
| Director - Applied AI ML (Software Engineering/Data & Agentic Systems) Director level role focused on engineering and scaling GenAI capabilities, specifically agentic workflows and RAG systems, within an enterprise setting. The role involves building reusable frameworks, shared components, and establishing best practices for production-grade AI solutions, with a strong emphasis on evaluation, monitoring, and governance. The position requires deep software and data engineering expertise, cloud-native experience, and the ability to translate complex technical concepts to senior stakeholders. | AgentData | 8 |
| Data Scientist Associate Senior Associate Senior Data Scientist at JPMorgan Chase in Bengaluru, focusing on designing, deploying, and managing prompt-based LLM models for NLP tasks in financial services. The role involves prompt engineering, LLM orchestration, building data pipelines, and developing tools for model training and evaluation, with a requirement for Python, PyTorch/TensorFlow, cloud platforms, and MLOps. | AgentPost-train | 8 |
| Applied AI ML Lead -Digital Lead Applied AI ML role in Fintech, focusing on developing and productionizing ML models and scalable data pipelines for personalized financial services. Requires strong CS background, end-to-end project ownership, and collaboration with cross-functional teams. Emphasis on research, algorithm implementation, experimentation, and ensuring regulatory compliance. | Ship | 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 |
| Investment Risk & Analytics - Quant Modeling Sr. Associate This role focuses on designing, developing, and deploying advanced AI/ML models for investment risk and analytics within a fintech domain. It involves the full lifecycle of AI/ML initiatives, from data engineering and model development to deployment and monitoring, with an emphasis on generative AI, deep learning, and reinforcement learning. The role also requires risk modeling, scenario analysis, and collaboration with technology and business stakeholders, including participation in governance and regulatory forums. | AgentData | 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 |
| 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/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 |
| Vice President - Product Manager - Machine Learning & Intelligent Operations Product Manager for JPMorgan Chase's Machine Learning & Intelligent Operations (MLIO) team, focusing on transforming customer service and personalization using AI/ML. The role involves defining product strategy, leading cross-functional teams, and driving product value for millions of customers. | Ship | 7 |
| Operations Automation Associate This role is responsible for delivering analytics products and AI capabilities, focusing on GenAI and agentic AI patterns. The role involves translating business needs into requirements, building data foundations, designing and deploying LLM/agentic AI use cases with governance and human-in-the-loop controls, and establishing evaluation frameworks. It requires strong Python, data engineering, SQL, RAG, and MLOps skills, with a focus on responsible AI practices within a financial services domain. | AgentData | 7 |
| Product Manager - MLIO Knowledge Management Product Manager for an AI/ML team at JPMorgan Chase, focusing on knowledge management. The role involves defining and executing an AI/ML product roadmap to deliver knowledge content via APIs and services, leading cross-functional teams (analysts, data engineers, data scientists), and partnering with various departments. Requires experience in product management, knowledge management, AI/ML, and agile environments, with a preference for experience with GenAI, RAG, and AI Agents. | AgentData | 7 |
| Software Engineer II - UX Designer Software Engineer II - UX Designer role focused on integrating Generative AI into multi-modal interfaces (voice, text, touch) for web and mobile platforms. Requires hands-on engineering expertise in front-end development (React, Node.js) and collaboration with AI/ML engineers to build user-centric solutions. | Agent | 7 |
| Analytics Solution - Associate Associate Analytics Solution role at JPMorgan Chase in Bengaluru, focused on developing data visualizations, intelligence solutions, and strategic analytics. Leverages advanced analytics tools, Python, SQL, and AI/ML techniques, including LLM use cases, to drive decision-making, streamline processes, and support cloud migration. Collaborates with stakeholders and mentors junior team members. | Agent | 7 |
| Applied AI ML Lead Lead role in a Fintech company focused on designing and delivering innovative AI/ML models for financial analysis, regulatory requirements, and pricing decisions. Requires strong quantitative, programming (Python, PySpark), and machine learning skills, with experience in leading teams and communicating complex concepts. | Post-train | 7 |
| AI-ML Modeler Senior Associate Senior Associate AI-ML Modeler in the Finance Modeling team at JPMorgan Chase. The role involves designing and delivering innovative models for budgeting, financial analysis, regulatory requirements, and pricing decisions. Responsibilities include data anomaly identification, quantitative analysis, data cleaning, model building (statistical, econometric, ML), communicating results to stakeholders, and mentoring team members. Requires a graduate degree, 5+ years of model development experience, proficiency in Python/R/Scala, experience with specific financial models (budget, CCAR, PPNR), statistical/econometric techniques, machine learning theory, big data tools (Spark/Hadoop), and explainability for risk and compliance. Familiarity with Gen AI is preferred. | Post-train | 7 |
| Data and AI Control Manager This role focuses on building and productionizing AI/ML solutions, including Generative AI workflows, to enhance risk detection, continuous monitoring, and regulatory compliance within a financial services context. It involves automating testing processes, operationalizing alerts, and applying LLMs/GenAI for tasks like document parsing and policy mapping, with a strong emphasis on explainability and auditability in a regulated environment. | AgentData | 7 |
| Sr Director of Software Engineering (Java, AIML, RAG, Data/Analytics) Senior Director of Software Engineering at JPMorgan Chase to lead the development and evolution of a Product Tooling ecosystem. The role involves defining technical vision, driving architecture, and overseeing the delivery of mission-critical tooling that supports product management, planning, execution, and analytics. A key focus is championing the integration of AI technologies, including generative AI and RAG, to automate workflows, generate insights, and optimize product development processes. The role also includes leading engineering teams, ensuring platform scalability and security, and collaborating with stakeholders. | Agent | 7 |
| Senior Director of Software Engineering Senior Director of Software Engineering to lead multiple technical areas and manage departments, focusing on the adoption and implementation of agentic AI-enabled engineering and SDLC/TLM automation within financial services. The role involves setting strategy, establishing guardrails, accelerating delivery through GenAI, and influencing across complex organizations. | Agent | 7 |
| Applied AI ML Associate Senior Lead a team of software engineers and applied AI/ML practitioners to integrate AI/ML techniques like LLMs and Generative AI into production software systems for the Commercial and Investment Bank. Responsibilities include technical vision, roadmap execution, system design, development, and productionizing AI/ML solutions, with a focus on Java or Python. | Ship | 7 |
| Data Science – (Gen AI Developer) - Analyst This role focuses on architecting and developing solutions leveraging Generative AI and Agentic AI technologies, with a strong emphasis on RAG-based agents and deploying them into production. The role involves data analysis, model development, and translating model outputs into user-friendly insights. | Agent | 7 |
| Wholesale Client Profitability (WCP), Transformation, Controllership & P&A - Vice President This role focuses on integrating AI and automation into financial processes, specifically client profitability, to improve accuracy, timeliness, and efficiency. It involves leading the adoption of AI/ML and GenAI use cases within period-end workflows, defining guardrails for these AI systems, and partnering with Technology and Data teams to rationalize tools and shorten cycle times. The role requires hands-on experience with AI/ML in financial close processes and a strong understanding of finance transformation, controllership, and risk management. | Agent | 7 |
| Software Engineer II - Python Software Engineer II at JPMorgan Chase in Mumbai, India, focusing on building and operating LLM-driven applications and ML products within a regulated fintech environment. The role involves partnering with technology teams, Data Science, and Cybersecurity, and requires advanced Python skills, cloud experience (Azure/AWS), and proficiency in software development lifecycle and cloud-native architectures. Experience with agentic frameworks and fine-tuning LLMs is preferred. | AgentPost-train | 7 |
| AI-ML Modeler - Senior Associate Senior Associate AI-ML Modeler at JPMorgan Chase in Bengaluru, India, focusing on designing and delivering innovative models for budgeting, financial analysis, regulatory requirements, and pricing decisions. The role involves advanced quantitative analysis, data cleaning, model building using statistical, econometric, and machine learning techniques, and communicating results to stakeholders. Requires a graduate degree, 5+ years of model development experience, proficiency in Python/R/Scala, experience with big data tools, and understanding of ML explainability for risk and compliance. | Post-train | 7 |
| Applied AI /ML Applied AI/ML Lead role within the Payments Technology team at JPMorgan Chase, focusing on integrating machine learning into key financial products. The role involves researching, developing, and productionizing ML models, services, and platforms, designing scalable data pipelines, and leading a team of ML scientists to solve business problems in Payments Trust & Safety. | Ship | 7 |
| Applied AI/ML Associate Senior - Causal ML This role focuses on applying GenAI, ML, and statistical models, with a strong emphasis on causal inference, to solve business problems in the Global Wealth Management space. The goal is to build next-generation decision systems for pricing, campaign targeting, and understanding cause-and-effect relationships in observational data. | Agent | 7 |
| Software Engineer III - SAP ABAP Software Engineer III role focused on designing and delivering AI-powered solutions on SAP BTP, building agentic AI capabilities, and leading proof-of-concept initiatives. Requires experience in AI/ML solution development, SAP BTP, Python/JavaScript, and MLOps practices. | Agent | 7 |
| Applied AI/ML Senior Associate Senior Associate role focused on applying AI/ML techniques, particularly NLP, to solve business problems within the Asset & Wealth Management division of JPMorgan Chase. Responsibilities include developing, productionizing, and documenting AI/ML solutions, collaborating with stakeholders, and coaching team members. Requires 3+ years of applied experience in data science and ML, with strong Python skills and experience with ML libraries and big data tools. | Ship | 7 |
| Applied AI ML Lead Lead Applied AI/ML role at JPMorgan Chase, focusing on developing and productionizing AI/ML solutions for business needs within the HR Data and Analytics team. Requires strong Python, ML techniques, and NLP experience. | Ship | 7 |
| Senior Product Associate - Employee Platforms (AI Tooling, RAG, LLM) Senior Product Associate role focused on developing and launching AI-enabled internal capabilities and experiences within JPMorgan Chase's Employee Platforms. The role involves identifying product opportunities, running discovery loops, and leveraging AI (LLMs, RAG, agents) as a core toolset across the product lifecycle. Requires a hands-on approach, collaboration with engineering and data science, and a strong understanding of LLM application concepts and AI quality signals. | Agent | 7 |