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 1184 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 |
|---|---|---|
| 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 |
| Security Engineer III - AIML Security Engineer focused on AI/ML security, red teaming, and adversarial resilience for generative AI, RAG pipelines, and ML systems within a large enterprise. The role involves developing security strategies, conducting threat modeling, and implementing controls to prevent misuse and malicious behavior. | Agent |
| 8 |
| Lead Software Engineer - Python, AI Lead Software Engineer to design, build, and operate LLM-powered AI agents and multi-agent orchestration frameworks, including conversational interfaces, APIs, and enterprise system integration. The role also involves building evaluation frameworks and driving adoption of AI-assisted engineering practices, with a strong emphasis on responsible AI use. | AgentEval Gate | 8 |
| Software Engineer III - AI/ML, Prompt Engineer Software Engineer III focused on Prompt Engineering and Applied ML within a Risk & Controls AI team. The role involves designing and optimizing production-grade prompts, implementing LLM integration patterns (RAG, chain-of-thought), defining evaluation criteria, building agent workflows, and leveraging various databases. Responsibilities include data preparation, feature engineering, monitoring AI/ML workflows, and developing Python scripts. Requires significant experience in ML, applied AI, prompt engineering, and LLM application development. | AgentData | 8 |
| Applied AI ML Senior Associate Senior Associate role focused on building and scaling AI/ML solutions, particularly LLM-powered systems and agentic frameworks, within an enterprise environment. Requires strong software engineering discipline, experience with ML frameworks, MLOps, and cloud platforms (Azure/AWS). | AgentServe | 8 |
| 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 |
| 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 |
| 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 |
| Data Scientist Director Director-level role focused on building and scaling a Center of Excellence for delivering AI/ML solutions at enterprise scale within a financial services context. The role emphasizes end-to-end productization, governance, and adoption of AI/ML capabilities, with a focus on measurable business outcomes and responsible AI practices. | Ship | 7 |
| Senior Lead Software Engineer – Agentic SDLC & AI Engineer This role focuses on leading the adoption and implementation of an Agentic Software Development Lifecycle (ADLC) within JPMorgan Chase. The Senior Lead Software Engineer will champion agent-first development, leverage LLM agent frameworks and coding assistants, and provide technical enablement to engineering teams. Responsibilities include analyzing usage data, driving testing and resiliency, collaborating cross-functionally, and ensuring solutions meet security and compliance standards. | 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 |
| 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 Global Wealth Management. The associate will develop and productionize AI/ML solutions, understand cause-and-effect relationships in observational data, and coach other team members. | Agent | 7 |
| Data Management Senior Associate This role focuses on developing and implementing AI/LLM-based strategies for data governance within the Consumer and Community Banking division of JPMorgan Chase. The primary goal is to manage data risks associated with enterprise data warehouse solutions, including data catalogs, data lakes, and reference data, as the organization transitions to the public cloud. The role involves defining and executing protocols, managing master data management strategies, and collaborating with various stakeholders to ensure data risks are understood and mitigated. | Data | 7 |
| Applied AI/ML Lead Applied AI/ML Lead at JPMorgan Chase in Asset & Wealth Management, focusing on developing and productionizing end-to-end AI/ML solutions for business needs. Requires strong Python, ML techniques, and NLP experience, with a preference for LLM application and financial services background. | 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 |
| 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 |