Currently tracking 305 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
JPMorgan Chase has 448 active AI-related job listings. The majority of these roles, 55%, are focused on agents, with application roles making up another 17%. The dominant function for these positions is Engineering, with a significant number of roles also in Product. The company is primarily hiring in the United States, followed by the United Kingdom and India. Frequent tech tags include agent_orchestration, llm_observability, and model_serving. In the last 30 days, JPMorgan Chase posted 275 new AI roles, representing a 76% increase compared to the previous 30-day period.
JPMorgan Chase currently has 450 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (6), Applied AI ML Director (5), Applied AI ML Lead (4), Applied AI ML-Vice President (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (56%), application (17%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
JPMorgan Chase is hiring AI talent in: United States (306 roles), United Kingdom (71 roles), India (52 roles), Singapore (12 roles).
Job postings at JPMorgan Chase most frequently reference: agent orchestration, llm observability, model serving, rag, fine tuning.
In the past 30 days, JPMorgan Chase has posted 236 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Applied 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 |
| Applied AI ML Director Machine Learning Center of Excellence Director role focused on applying sophisticated machine learning methods (NLP, speech, time series, RL, recommendation systems) to real-world problems within a financial services context. The role involves research, model development, collaboration with business and technology partners, and deploying solutions into production. Emphasis on deep learning expertise, analytical thinking, and driving firm-wide ML initiatives. | ShipPost-train | 8 |
| Data Scientist Associate - Corporate & Investment Banking This role focuses on applying data science and generative AI to create client-focused innovations within JPMorgan Chase's Merchant Services. The Data Scientist Associate will execute analytics projects, build intelligent solutions using LLMs and agent-based patterns for payments insights and performance improvement, and prototype AI features. Responsibilities include developing data pipelines, designing and executing tests, monitoring performance, and collaborating with various stakeholders. | Agent | 7 |
| Risk Management - Quant Modeling Director - Executive Director Lead the validation and risk governance of marketing machine learning models used across Consumer and Community Banking (CCB) at JPMorgan Chase. This role involves evaluating model soundness, assessing assumptions, ensuring testing completeness, and designing experiments to quantify model risk and limitations. The position also requires managing a team, collaborating with various stakeholders including regulators, and staying current with advanced AI/ML techniques. | ShipPost-train | 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 |
| Technical Principal Architect - Agentic AI & Messaging Technical Principal Architect role focused on Agentic AI and Messaging technologies within Prime Finance at JPMorgan Chase. The role involves defining architectural vision, designing scalable and secure solutions, and leading the integration of autonomous AI workflows. Requires deep expertise in Java, Python, messaging technologies (Kafka, AMPS), and both relational and NoSQL databases, with a strong understanding of cloud platforms and DevOps. | 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 |
| Agentic AI Principal Software Engineer - Executive Director MarTech Lead Principal Software Engineer focused on Agentic AI and LLMs for MarTech within a financial institution. The role involves leading the design and development of AI-driven solutions to automate lead qualification and engagement, integrating these capabilities into existing platforms. Requires strong software engineering and ML engineering experience with a proven track record of shipping production systems. | Agent | 7 |
| Data Scientist [Multiple Positions Available] Data Scientist at JPMorgan Chase responsible for designing, building, and implementing end-to-end data products, including product recommendation models for core banking products. The role involves creating actionable insights, collaborating across teams, and deploying scalable AI/ML models in a large-scale enterprise environment. | Ship | 7 |
| Senior/Lead Machine Learning Scientist (Hands On)- International Consumer Bank Lead Machine Learning Scientist for JPMorgan Chase's International Consumer Bank in London. The role involves delivering end-to-end cloud-native ML solutions, mentoring junior colleagues, and collaborating with cross-functional teams to solve complex business problems using data insights. Focus on production-ready code, latest ML advancements, LLMs, and agentic systems. | ShipPost-train | 7 |
| Lead Software Engineer - Fullstack Lead Lead Software Engineer role focused on building full-stack features for an AI-powered advisory platform, including backend APIs, AI agent orchestration, and frontend UI. The role involves integrating LLMs with financial data and internal/third-party services. | Agent | 7 |
| Business Banking - Data Scientist [Multiple Positions Available] Data Scientist role at JPMorgan Chase focused on developing and deploying machine learning models for financial prediction, trend identification, risk analysis, and anomaly detection within business banking portfolios. The role involves data processing, wrangling, ETL, automation, and leveraging visualization tools. Requires experience with Python, scikit-learn, SQL, and various BI software. | Post-trainData | 7 |
| Quant Modeling Lead [Multiple Positions Available] Lead Quant Modeler responsible for independent testing, benchmark model development, and evaluating risk associated with advanced ML/DL models, particularly in fraud detection. This role involves guiding model developers, ensuring adherence to risk management and regulatory requirements, and overseeing the end-to-end model risk lifecycle. The position also includes mentoring junior team members and representing the team in regulatory reviews. | ShipEval Gate | 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 |
| Asset Management, Data Scientist, Vice President, London/Glasgow This role focuses on designing and implementing agentic AI workflows and LLM/NLP/ML solutions for asset management, with a strong emphasis on production deployment and scaling. It involves applying techniques like RAG, NER, and prompt engineering, and requires collaboration with business stakeholders and technologists. | AgentServe | 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 |
| Principal Data Scientist-Payments-Executive Director Principal Data Scientist to lead AI strategy and development for agentic, AI-native treasury products in a fintech environment. Focus on scaling AI solutions from ideation to production, driving measurable business outcomes, and staying current with emerging AI techniques. | Agent | 7 |
| Applied AI/ML Senior Associate Senior Associate Applied AI/ML Scientist role focused on developing and deploying agentic systems using LLMs and other AI/ML technologies to improve payment processes, fraud detection, and customer experience within a financial services context. Responsibilities include data pipeline design, model implementation, and collaboration with cross-functional teams, while ensuring regulatory compliance. | Agent | 7 |
| CEI Data Scientist Sr Associate This role focuses on integrating advanced AI tools and techniques, specifically agentic AI, into the economic research process for a financial institution. The primary goal is to analyze consumer and business financial well-being by identifying trends in income, spend, savings, and credit. The role involves data wrangling, analysis, and visualization, with a strong emphasis on applying AI to uncover economic insights. | Agent | 7 |
| Sr Director of Software Engineering - Insurance Senior Director of Software Engineering to lead teams in building AI-native digital insurance platforms, embedding AI coding tools, agentic workflows, and LLM-powered capabilities. The role involves driving technical strategy, managing technology delivery, and fostering an AI-augmented engineering culture. | Agent | 7 |
| Quantitative Trading and Research - Securitized Products Group - Associate Quantitative modeling role focused on Residential Mortgage-Backed Securities (RMBS) and structured products. The role involves applying machine learning and generative AI to enhance financial models for trading, valuation, and risk management, including data processing, calibration, and performance monitoring. | 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 |
| Principal Software Engineer - Engineering Manager - Data and AI Platform The Principal Software Engineer - Engineering Manager will set the vision and strategy for a Data and AI Platform, enabling product teams by covering data ingestion, transformation, LLM patterns, audit, safety guardrails, compliance, and observability. The role involves leading a multi-discipline organization, owning the data foundation, ensuring compliant data use, defining enablement for LLM applications, establishing engineering excellence, driving a product-oriented model, enabling data-driven development, and attracting talent. | AgentServe | 7 |
| Data Scientist [Multiple Positions Available] Data Scientist role at JPMorgan Chase focused on applying advanced data analysis and machine learning techniques to generate actionable insights, predict future outcomes, and inform strategic decisions within the fintech domain. The role involves leading full-cycle analytics projects, manipulating large datasets, building and deploying supervised and unsupervised machine learning models, and applying causal inference techniques. Experience with data regulation controls and consumer banking concepts is also required. | Post-train | 7 |
| Applied AI ML [Multiple Positions Available] JPMorgan Chase is seeking an Applied AI ML professional to design and implement AI solutions, focusing on Generative AI applications like Search, Chatbots, and Agents within the Financial Services sector. The role involves collaboration, strategic planning, evaluation, and deployment of AI/ML models, with a requirement for experience in NLP, ML, deep learning, and AWS. | AgentServe | 7 |
| Data Scientist-Senior Associate Data Scientist-Senior Associate in Payments Data and Analytics to build data products, improve payment performance, and develop generative AI solutions. Role involves end-to-end analytics, from problem definition to productionization, using SQL and Python on large datasets. | Agent | 7 |
| Software Engineer [Multiple Positions Available] Software Engineer role focused on designing and developing generative AI solutions, including RAG and AI agents, using deep learning, NLP, and LLMs. The role involves implementing AI-driven applications, integrating AI into systems, and building scalable software, APIs, and user interfaces. It also includes cloud infrastructure management, CI/CD for AI models, data warehousing, and data lakehouse/mesh architectures. | AgentData | 7 |
| Software Engineer [Multiple Positions Available] Software Engineer role at JPMorgan Chase focused on building end-to-end machine learning pipelines, including data ingestion, feature engineering, model training, hyperparameter tuning, and RESTful deployment. The role also involves MLOps practices for model versioning, retraining, validation, governance, and orchestration, as well as deploying and managing AWS infrastructure and building microservices. | DataServe | 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 |
| Marketing Data & Agentic AI Transformation Lead Lead the data strategy and transformation for a marketing automation program using Agentic AI. This role involves defining data architecture, governance, and usage for marketing execution, customer onboarding, and response analytics, aiming to build AI-enabled, self-serve measurement and analytics solutions. | Agent | 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 |
| 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 |
| Sr Lead Architect, AI Senior Lead Architect role focused on AI strategy, governance, and architecture for AI/ML solutions in financial services, including agentic systems, RAG, and hybrid LLM/SLM models. | Agent | 7 |
| Lead Software Engineer - Cloud/Python/AI Engineer Lead Software Engineer focused on building and deploying enterprise-grade AI solutions, including RAG pipelines and agentic AI systems, with a strong emphasis on production-level concerns like scalability, cost, latency, privacy, hallucination mitigation, and observability. The role requires fluency with AI-assisted development tools and hands-on experience in building AI/ML features in production environments. | Agent | 7 |
| Quantitative Trading & Research - Automated Trading Strategies - Rates - Analyst or Associate Quantitative trading role focused on building systematic trading strategies using AI/ML techniques for pricing, risk management, and execution in Rates markets. Involves analyzing large datasets, back testing strategies, expanding modeling tools, and maintaining trading software systems. | Agent | 7 |
| Chase Modeling - Applied AI ML Senior Associate Senior Associate role focused on applied AI and quantitative modeling within the Consumer Business Modeling team at JPMorgan Chase. The role involves contributing to the full modeling lifecycle, from defining objectives to developing and communicating results using advanced analytics on large-scale consumer data. Requires an advanced degree in a quantitative field and experience in developing machine learning, optimization, or statistical models. | Ship | 7 |
| Chase Modeling - Applied AI Modeling Lead - Vice President Lead the development and deployment of AI/ML models for financial services, focusing on retail, credit card, home, auto lending, and wealth management. This role involves end-to-end project leadership, stakeholder management, and ensuring regulatory compliance. | Ship | 7 |
| Data Domain Architect Lead Lead a team of data analysts to support data annotation and labeling for machine learning models in a fintech domain. This involves developing strategies for training data optimization, identifying patterns in conversational data using NLP, and evaluating the quality of ML outputs. Requires experience in ML data annotation, data modeling, and Python. | Data | 7 |
| Director of Software Engineering - Workplace Technology Director of Software Engineering leading a team to develop and deploy phygital AI solutions leveraging IoT and edge-to-cloud computing. Focus on integrating AI/ML with IoT ecosystems for real-time analytics and scalable solutions. | ServeAgent | 7 |
| Compliance - Surveillance Lead - Vice President Lead the end-to-end lifecycle of AI and ML models for trade surveillance, driving strategic enhancements and innovation using advanced analytics, machine learning, and LLMs. This role involves model development, deployment, monitoring, recalibration, and leveraging GenAI/LLM tools to optimize surveillance processes and operational efficiencies within a regulated financial environment. | AgentServe | 7 |
| AWS Lead Software Engineer - Python, Terraform, and AI Lead Software Engineer on the AI/ML & Data Platforms team, focusing on building AI agents to enhance the software development lifecycle, designing secure Data Lake solutions in AWS, and optimizing deployment processes with Terraform and Python. | Agent | 7 |
| AI ML Engineering Analyst AI/ML Engineer role focused on designing, implementing, and deploying AI/ML services for Wholesale Payments Operations. The role involves applying AI/ML techniques for NLP and document understanding, prompt engineering, and designing agentic systems, with a strong emphasis on production-grade solutions and cloud infrastructure. | AgentServe | 7 |
| Sr Director of Infra Engineering-Advanced Capability Engineering for Mainframe Midrange Compute Platforms Senior Director role leading the application of AI, specifically agentic and automation-driven solutions, to transform the management and operation of Mainframe and Midrange Compute platforms within a financial services company. The role involves defining AI strategy, building and scaling an engineering team, implementing agentic AI solutions for infrastructure automation, and ensuring alignment with risk, security, and regulatory requirements. | Agent | 7 |
| Data Scientist Executive Director – Card Data & Analytics, Customer & Strategic Analytics Executive Director Data Scientist at JPMorgan Chase leading a team focused on AI, machine learning, and advanced analytics for the Card business. The role involves defining AI strategy, delivering AI/ML solutions from ideation to production, supporting customer experience, driving experimentation, and leading a team of analytics professionals. Requires strong leadership, technical depth, and business acumen, with a focus on driving measurable business impact and competitive advantage. | ShipAgent | 7 |
| Quant Modelling Associate Quant Modeling Associate role focused on ensuring fair lending compliance for various models, including traditional, ML/AI, and Gen AI models, within JPMorgan Chase's Risk Management and Compliance division. Responsibilities include statistical analysis, bias testing, developing mitigation algorithms, research, and documentation, with a focus on adhering to Fair Lending Laws and regulations. | Post-trainAgent | 7 |
| AWM: Investment Research, AI and Automation Associate This role involves translating business objectives into AI-powered technical solutions for investment research. The associate will own the full solution lifecycle, from requirements gathering to shipping production services and iterating on them. Key responsibilities include building systems that surface insights from various data sources using LLMs, Generative AI, agentic systems, and AWS. The role emphasizes practical business impact and collaboration with business and technology partners. | AgentServe | 7 |