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, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
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 161 new AI-related roles. That is a -33% change versus the prior 30 days (242 → 161).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer III - AI/ML, Java / Python Software Engineer III on the Transformative AI Team at JPMorgan Chase, focusing on building an Agentic Private Bank. The role involves developing and implementing GenAI and Agentic AI solutions, working with prompt-based LLMs, and building data pipelines for prompt engineering on cloud platforms. | Agent | 7 |
| Lead Software Engineer - Data Engineer Lead Software Engineer for Data Engineering role focused on building an AI/Agentic AI layer for a Data Products platform. This involves architecting and developing autonomous agents for data product lifecycle management, leveraging NLP, RAG, Vector Databases, and multi-agent orchestration. The role also requires hands-on technical leadership, mentoring a team, and ensuring scalability, security, and best practices for enterprise-grade data platforms. | AgentData |
| 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 |
| Quantitative Trading & Research - SPG - Vice President Quantitative trading and research role focused on RMBS and structured products, developing and maintaining models. The role involves applying machine learning and generative AI to credit modeling, data processing, model calibration, performance monitoring, and delivering analytics. Responsibilities include developing financial models, conducting back-testing, performing ML analysis on large datasets, building data analysis platforms, and collaborating with stakeholders. | Post-trainData | 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 |
| E-Markets [Multiple Positions Available] This role focuses on applying AI/ML and quantitative techniques to options pricing, hedging, and quoting within financial markets. It involves developing and implementing sophisticated algorithms, quantitative models, and analytical tools for trading analysis and backtesting. The position requires experience with various machine learning techniques and programming languages like Python, KDB, C++, PyTorch, and Sklearn, with a strong emphasis on quantitative research and model development in a regulated financial environment. | Post-trainServe | 7 |
| Lead Software Engineer - Java Lead Software Engineer in Payment Technology team at JPMorgan Chase, responsible for enhancing, building, and delivering technology products. The role involves driving business impact through technical expertise, problem-solving, and developing secure, high-quality production code. A key focus is on designing, developing, and integrating agent-based systems and LLMs within Java applications, requiring practical cloud-native experience and knowledge of the financial services industry. | Agent | 7 |
| Lead Software Engineer Lead Software Engineer at JPMorgan Chase within the consumer and community banking technology team, responsible for driving the architecture, design, and delivery of enterprise-scale platforms and solutions. This includes leading engineering teams, shaping technical strategy, and championing innovation across full-stack development, cloud-native ecosystems, and emerging technologies including Generative AI. The role involves designing and implementing Agentic AI and Generative AI solutions, integrating LLMs, AI agents, and intelligent automation into enterprise platforms, and collaborating with AI/ML teams to bring these capabilities to production at scale. | Agent | 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. | Agent | 7 |
| Vice President, Business Intelligence - Advanced Analytics This role focuses on modernizing Business Intelligence (BI) by integrating AI, specifically LLMs, to create AI-driven BI as a core enterprise capability. The goal is to move beyond descriptive and predictive analytics towards prescriptive insights, operationalizing conversational analytics and building AI assistants within BI workflows. The role involves partnering with senior leadership, owning the BI lifecycle, architecting semantic layers, and driving adoption of AI-enabled BI solutions. | Agent | 7 |
| Lead Software Engineer – Cloud DevOps & AI Lead Software Engineer focused on Cloud DevOps and AI, responsible for designing and implementing CI/CD pipelines, infrastructure-as-code, and container orchestration, with a strong emphasis on integrating AI/ML for automation, intelligent monitoring, and agent-based workflow optimization within cloud environments. | 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 |
| Risk Management - AI Governance - Model Risk - Executive Director Executive Director role focused on AI Governance and Model Risk Management within JPMorgan Chase's Risk Management and Compliance division. The role involves designing and implementing AI governance frameworks, assessing AI/ML practices, collaborating with stakeholders, and communicating emerging risks to senior management and regulators. Requires extensive experience in risk management and a strong understanding of GenAI tools. | Eval GateAgent | 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 |
| Senior Lead Site Reliability Engineer Senior Lead Site Reliability Engineer role focused on building and optimizing AI/ML platforms and products, including infrastructure, serving, and agentic AI solutions for SRE functions. Requires deep SRE experience applied to AI/ML workloads and LLM inference. | ServeAgent | 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 |
| Senior Lead Site Reliability Engineer Senior Lead Site Reliability Engineer role focused on building AI-powered automation systems, intelligent monitoring, and next-generation reliability platforms. The role involves designing and building AI Agents for autonomous operations, integrating various data stores including vector databases, and developing automation scripts. Requires expertise in SRE principles, observability, and AI frameworks like LangChain. | AgentServe | 7 |
| Software Engineer II - Machine Learning Software Engineer II on the Machine Learning Operations team at JPMorgan Chase, focusing on building and maintaining end-to-end ML solutions for customer-facing experiences. The role involves engineering scalable features and pipelines for relevance and ranking models, implementing ML Ops practices, and ensuring system reliability and observability in a production environment. | ShipData | 7 |
| Lead Infrastructure Engineer (GenAI), CloudFormation Lead Infrastructure Engineer (GenAI) at JPMorgan Chase, focusing on leveraging GenAI and agentic AI for cloud infrastructure cost optimization. The role involves developing, implementing, and evangelizing AI-driven solutions and intelligent agents to automate cost management and improve efficiency across on-premises and cloud environments. Responsibilities include leading the development of GenAI agents for cost optimization, discovering opportunities using AI models, architecting automation runbooks, and guiding stakeholders on cost-effective decisions. | Agent | 7 |
| Software Engineer III - Python, AWS, GenAI Software Engineer III with Python, AWS, and GenAI experience at JPMorgan Chase in Bengaluru. This role involves partnering on LLM projects, collaborating on ML products, and developing scalable ML-driven products within a regulated environment. Requires strong Python, cloud (AWS/Azure), and SDLC experience. | Ship | 7 |
| Software Engineer III - SRE Software Engineer III - AI Reliability Engineer at JPMorgan Chase within Asset and Wealth Management Technology team, focused on enhancing the reliability and resilience of AI systems, particularly large language model serving and training systems. Responsibilities include developing SLOs for AI systems, implementing monitoring, designing high-availability serving infrastructure, championing site reliability culture, developing automated failover and recovery systems, creating AI Incident Response playbooks, leading incident response for critical AI services, building cost optimization systems, engineering for scale and security, and collaborating with ML engineers. Requires formal training/certification in software engineering, proficiency in reliability best practices, observability tools, CI/CD, container orchestration, and understanding AI infrastructure challenges. Preferred qualifications include experience with AI-specific observability tools, AI incident response strategies, AI-centric SLOs/SLAs, and continuous evaluation processes. | ServeEval Gate | 7 |
| Senior Lead Software Engineer- AI Platform engineer Senior Lead Software Engineer role focused on building and optimizing AI/ML infrastructure platforms within a financial services company. The role involves architecting cloud infrastructure, managing ML workloads, CI/CD pipelines, and collaborating with AI teams to meet computational needs. Requires strong software engineering, Kubernetes, cloud, and foundational ML knowledge. | ServeData | 7 |
| Lead Software Engineer-AI Platform Engineer Lead Software Engineer focused on building and optimizing AI/ML infrastructure platforms, including cloud deployment, CI/CD pipelines for ML workloads, and collaboration with AI teams to meet computational needs. The role involves developing secure, scalable infrastructure, monitoring resources, and implementing automation. | Serve | 7 |
| Senior Lead Software Engineer- AI Platform engineer Senior Lead Software Engineer focused on building and optimizing AI/ML infrastructure platforms within a large enterprise. The role involves architecting cloud infrastructure, implementing CI/CD for ML workloads, and collaborating with AI teams to meet their computational needs. Requires strong software engineering, cloud, and foundational ML knowledge. | Serve | 7 |
| Data Science Vice President - Card Data Analytics Data Science Vice President at JPMorgan Chase within the Card Data & Analytics team, responsible for developing and implementing AI/ML solutions, including Generative AI and foundation models, to drive strategic initiatives and business impact within the credit card business. The role involves end-to-end problem-solving, from translating business questions to building models and communicating insights. | AgentPost-train | 7 |
| Lead Software Engineer - Senior Python Developer Lead Software Engineer role focused on deploying, monitoring, and managing machine learning models in production. Responsibilities include building infrastructure, automating deployment, optimizing performance, and ensuring the continuous operation of AI systems within a cybersecurity context. Requires expertise in Python, CI/CD, cloud platforms, and containerization. | ServePost-train | 7 |
| Lead Software Engineer - Agentic Lead Software Engineer role focused on building agentic AI systems and LLM-based solutions within a large enterprise. Requires strong software engineering skills, cloud-native experience (AWS), and hands-on experience with LLMs, agent orchestration, tool use, retrieval, and safety mechanisms. Experience with Databricks and modern data pipelines is also expected. | Agent | 7 |
| AI/ML Lead Data Engineer - Automation/Image Processing Lead Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure for processing scanned document images, integrating OCR and computer vision models, and managing data storage on AWS. The role involves collaborating with data scientists and ML engineers, ensuring data quality and governance, and leading a team of data engineers. | DataServe | 7 |
| Lead Software Engineer - DevOps / Full-Stack / MLOps Lead Software Engineer focused on building and maintaining a scalable ML platform for model training, deployment, and monitoring within a cloud-native DevOps environment. The role involves coding infrastructure with Terraform, Python automation, Kubernetes, CI/CD pipelines, and applying agentic AI/LLM capabilities to DevSecOps use cases. | ServeData | 7 |
| WFP Senior Data Scientist Senior Data Scientist at JPMorgan Chase focused on building AI/ML solutions for workforce planning, including demand forecasting, capacity optimization, and scheduling. The role involves framing ambiguous problems, selecting appropriate modeling approaches, and productionizing solutions for real-time inference and decision-making within large-scale operations. | Serve | 7 |
| Executive Director, Applied AI/ML – Image as a Service Executive Director to architect and operationalize the AI strategy for Image as a Service, focusing on embedding AI to reduce toil, improve reliability, and drive adoption of AI within image engineering and SRE domains. The role involves leading the development of an infrastructure digital twin, establishing a use case governance framework, and standardizing AI tooling. This is an individual contributor role with significant indirect leadership. | Agent | 7 |
| Software Engineer [Multiple Positions Available] Software Engineer role at JPMorgan Chase focused on designing, developing, and deploying enterprise-scale financial applications and data-driven platforms. This role involves leading a team, making architectural decisions for distributed, cloud-native systems, and driving the adoption of data engineering and orchestration tools. A key aspect is overseeing the integration of machine learning solutions, including model development, training, optimization, and deployment using TensorFlow and PyTorch, and implementing MLOps frameworks for lifecycle management. The role also includes implementing service mesh technologies, search and indexing, and managing Agile SDLC, CI/CD, and regulatory compliance. | ServePost-train | 7 |
| Data and AI Control Manager This role focuses on designing and executing data-driven control testing within financial services, specifically for client onboarding and documentation. It involves building and productionizing AI/ML solutions, including Generative AI, for risk detection, continuous monitoring, and regulatory compliance. The role also emphasizes automating testing processes, operationalizing alerts, and partnering with various teams to ensure explainability and auditability, with a strong focus on regulated environments. | AgentData | 7 |
| Lead Software Engineer: Customer Trust Assessment Platform Lead Software Engineer role focused on building a NextGen orchestration platform using AI capabilities, specifically AI Agents, RAG pipelines, and LLM APIs, within the Fraud Technology team at JPMorgan Chase. | Agent | 7 |
| Senior Director of Software Engineering (Data & AI) Senior Director of Software Engineering leading the adoption and scaling of agentic AI-enabled engineering and SDLC/TLM automation within a large enterprise, focusing on responsible AI standards, governance, and operational efficiency. | Agent | 7 |
| Data Scientist [Multiple Positions Available] Data Scientist at JPMorgan Chase responsible for building, implementing, testing, and analyzing ML/AI products and solutions. The role involves leveraging statistical and mathematical techniques, including AI/ML and optimization, to solve business problems, designing controlled experiments, and translating business needs into data models. The position requires experience with SQL, pandas, data visualization libraries, and implementing traditional machine learning algorithms for predictive analytics. | Ship | 7 |
| Lead Software Engineer - Java/Python/AIML Lead Software Engineer responsible for designing, developing, and deploying enterprise applications and AI/ML-enabled features using Java, Spring Boot, and Python. The role involves full lifecycle development of AI/ML solutions, including integration, orchestration, and evaluation, with a focus on production readiness and scalability within a regulated environment. | Agent | 7 |
| Operations Automation [Multiple Positions Available] This role focuses on developing and deploying AI/ML models to automate complex processes, improve decision-making, and provide predictive insights within an enterprise setting. It involves analyzing large datasets, creating dashboards, and ensuring compliance with regulations, particularly in tax operations. The role also includes leveraging NLP for document data extraction and modeling business decision logic. | Agent | 7 |
| Quantitative Trading & Research – Markets Treasury – Vice President Lead the design and implementation of advanced AI/ML models and tools for risk assessment and P&L prediction in treasury management within an investment bank. Drive strategic initiatives, own large-scale analytics projects, and automate reporting processes, partnering with technology and business stakeholders. Requires strong Python programming, software engineering, and quantitative finance skills. | Serve | 7 |
| AI/LLM Sr Manager of Software Engineering - Java and Python This role is for a Senior Manager of Software Engineering focused on AI/LLM capabilities within the Consumer and Community Banking Core Platform Engineering team. The manager will provide technical coaching and advisory for multiple software engineering teams building AI-enabled capabilities, evolving towards agentic and workflow-based solutions. Responsibilities include leading design and implementation, establishing AI development strategies (LLM integration, evaluation, prompt management, orchestration, safe deployment), managing priorities, driving cloud-native practices on AWS, and promoting strong engineering fundamentals. The role requires experience leading technologists, hands-on experience with Java/Python, and working knowledge of AI/LLM development, including AI coding assistants and enterprise guardrails. | Agent | 7 |
| Sr Lead Software Engineer: Customer Trust Assessment Platform Senior Lead Software Engineer role focused on building a NextGen orchestration platform using advanced AI capabilities, specifically AI agents and RAG pipelines, within the Fraud Technology team at JPMorgan Chase. The role involves technical leadership, secure code development, and leveraging Java & AWS. | Agent | 7 |
| Strategic Analytics - Associate This role focuses on developing and implementing data-driven strategies and machine learning models to prevent digital fraud in fintech. The associate will analyze large datasets, identify trends, reduce losses, and enhance customer experience by collaborating with cross-functional teams and presenting insights to senior leadership. | Agent | 7 |
| Lead Software Engineer - AI/ML Lead Software Engineer focused on building and scaling machine learning platforms and infrastructure at JPMorgan Chase. Responsibilities include designing, developing, and optimizing tools for the end-to-end ML lifecycle, integrating various ML capabilities, and ensuring platform reliability and security. Requires strong software engineering background, experience with ML platforms and MLOps, and Python proficiency. | Serve | 7 |
| Lead Software Engineer - SAP – BTP AI Developer Lead Software Engineer focused on developing and deploying AI-powered solutions within the SAP Business Technology Platform (BTP) ecosystem. The role involves identifying AI use cases, building agentic AI capabilities, implementing solutions like RAG and intelligent document processing, and defining AI adoption frameworks, with a strong emphasis on SAP BTP services and MLOps practices. | AgentData | 7 |