Currently tracking 272 active AI roles, with 1150 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$285k (avg $215k).
JPMorgan Chase currently has 457 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (8), Applied AI ML-Vice President (4), Applied AI/ML Lead (4), Data Scientist [Multiple Positions Available] (4), Lead Site Reliability Engineer (4). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (58%), 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 (62 roles), India (59 roles), Singapore (18 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 264 new AI-related roles.
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.
| Title | Stage | AI score |
|---|---|---|
| QA Software Engineer III Software Engineer III in Test at JPMorgan Chase, focused on designing, developing, and maintaining automated test scripts and ensuring product quality. The role involves leveraging enterprise-authorized AI coding assist tools to improve code quality and delivery speed, while also understanding and applying responsible AI use in engineering workflows. This is a QA role within a financial services company, not a core AI/ML development role. | — | 5 |
| Software Engineer III-Devops, AWS Software Engineer III-Devops, AWS role at JPMorgan Chase focuses on designing and delivering technology products within the API Marketplace. The role involves executing software solutions, creating secure code, producing architecture artifacts, and leveraging enterprise-authorized AI coding assist tools to improve productivity. It also requires gathering and analyzing data for continuous improvement, identifying problems in data, contributing to software engineering communities, and fostering a diverse team culture. Key requirements include experience in system design, application development, cloud-native solutions, DevOps practices, Kubernetes, CI/CD, AWS, SQL, Python, and AI-assisted development tools, with an understanding of responsible AI use. |
| — |
| 5 |
| Lead Infrastructure Engineer – SRE, DevOps, Cloud, BI, AI Solutions Lead Infrastructure Engineer role at JPMorgan Chase focused on SRE, DevOps, and Cloud, with a secondary focus on leveraging enterprise AI tools for infrastructure analysis and documentation. The role involves collaborating with platforms, executing creative solutions, and ensuring AI-assisted practices align with security and resiliency expectations. | — | 5 |
| Senior Lead Software Engineer - Python, AWS Senior Lead Software Engineer role focused on enhancing and building technology products within an AI/ML & Data Platforms team. The role involves providing technical guidance, developing secure code, influencing product design, and driving the adoption of AI-assisted engineering practices. Requires extensive experience in system design, Python API development, AWS, and SaaS platform engineering, with a strong understanding of responsible AI use and validation of AI outputs. | — | 5 |
| Lead Infrastructure Engineer – Risk & BI Platforms, AI-Champion Lead Infrastructure Engineer role focused on modernizing business intelligence platform operations using automation and AI-driven solutions. The role involves owning platform stability, performance, and lifecycle management, leading incident response, and engineering/operating platform components. A key aspect is leveraging enterprise-authorized AI capabilities to accelerate infrastructure analysis and automation, with a strong emphasis on validation and compliance within a regulated environment. | — | 5 |
| Lead Software Engineer -SRE (Grafana, Dynatrace, SLO/SLI) Lead Software Engineer for the AI/ML Data Platforms team at JPMorgan Chase, focusing on building scalable and resilient data solutions. The role involves incident management, root cause analysis, and mentoring team members. A key aspect is driving the adoption of AI-assisted engineering practices for code quality, delivery speed, and operational improvements, while ensuring responsible AI use and validation standards. | Serve | 5 |
| Experience Research Senior Associate, Card Internal Tools This role focuses on user experience research for internal tools and platforms within a financial services company. The primary goal is to improve user experiences, productivity, and operational efficiency by conducting research, analyzing data, and providing actionable insights. While the role involves planning and executing research for AI-powered experiences and leveraging AI tools in the research workflow, the core craft is user experience research, not building AI models or systems. | — | 5 |
| Lead UI Engineer — React, TypeScript, Design-Led, AI-Driven Interfaces This role is for a Lead UI Engineer focused on building AI-enhanced user interfaces for internal enterprise applications. The primary focus is on front-end development using React and TypeScript, with a strong emphasis on integrating and leading the adoption of AI-assisted engineering practices and responsible AI use within the development lifecycle. While the role works with AI-driven interfaces and AI tools, it does not directly build AI models or agents. | — | 5 |
| Lead Software Engineer - Backend Java, Markets Tech Lead Software Engineer responsible for integrating AI/ML and GenAI capabilities into core financial platforms, including LLMs, RAG, embeddings, vector databases, and MLOps. The role also involves driving the adoption of AI-assisted engineering practices and ensuring secure, governable, and operable solutions at an enterprise scale. | Agent | 5 |
| Privacy Product Manager Vice President - Chief Data & Analytics Office Product Manager VP role focused on privacy within the Chief Data and Analytics Office at JPMorgan Chase. The role involves developing and launching privacy products, ensuring ethical and compliant use of data and AI/ML technologies, and adhering to global privacy regulations. It requires collaboration with data scientists, engineers, legal, and compliance teams, and managing risk and control issues. | — | 5 |
| Wholesale Lending Services (WLS) Data & AI Strategy Director This role leads the Data & AI Strategy for Wholesale Lending Services, acting as the Deputy Chief Data Officer. The primary focus is on driving the adoption and execution of AI/ML and advanced analytics to transform business processes, enhance productivity, and improve risk management. The role involves defining strategy, establishing roadmaps, overseeing a team, and ensuring data governance and regulatory compliance within a financial services context. | Ship | 5 |
| Product Manager, Vice President - Global Customer Platform Strategy & Communications Product Manager, VP for Global Customer Platform Strategy & Communications at JPMorgan Chase. This role focuses on shaping product strategy, managing the product lifecycle, and developing customer-centric products within the Consumer Bank division. A key aspect involves translating technical concepts into business language and managing communications for strategic initiatives. The role requires experience leveraging AI tools to enhance message development and automate processes. | — | 5 |
| 2027 Software Engineer Program_Summer Analyst (Singapore) This is a summer analyst internship role for a Software Engineer at JPMorgan Chase. The role involves developing, testing, and troubleshooting software solutions, writing secure code, and collaborating with teams. A key aspect is the use and validation of AI-assisted development tools for tasks like code generation, refactoring, and testing, while adhering to responsible AI practices. The role is within the fintech domain and is considered AI-adjacent as it utilizes AI tools rather than building core AI models. | — | 5 |
| AI Data Engineer III AI Data Engineer III at JPMorgan Chase responsible for the acquisition, transformation, and management of large-scale data assets, with a focus on data quality and implementing ETL logic on cloud platforms. The role requires proficiency in Python, Spark, and AWS data engineering services, with familiarity in AI/ML and NLP in production contexts. | Data | 5 |
| Asset Management - Fixed Income High Yield & Systematic Investment Specialist - Associate This role supports the High Yield and Systematic investment businesses within Global Fixed Income, Currency and Commodities (GFICC) at J.P. Morgan Asset Management. The role has a dual mandate: client-facing investment specialist responsibilities and serving as a technology and innovation resource for the GFICC team. The technology aspect involves leveraging AI, large language models, and automation to streamline workflows, reduce manual effort in reporting and commentary generation, and build scalable solutions using Python and APIs. The role requires strong Python skills, familiarity with fixed income markets, and the ability to translate business problems into technical solutions. | Agent | 5 |
| Software Engineer II - C# .Net Software Engineer II role at JPMorgan Chase focused on C# .Net development within Global Payments of Healthcare payments. The role involves designing, developing, and troubleshooting technology solutions, with a strong emphasis on leveraging enterprise-authorized AI coding assist tools to improve code quality and delivery speed. Responsibilities include writing secure code, applying knowledge of the SDLC toolchain, and troubleshooting technical problems. The role requires formal training/experience in software engineering, C#/.NET, relational databases, and system design, with hands-on experience using AI-assisted development tools and understanding responsible AI use. | — | 5 |
| Quantitative Analytics [Multiple Positions Available] This role focuses on designing and developing digital analytics requirements, collaborating on A/B tests, automating ETL processes, performing data manipulation, and conducting statistical analysis using machine learning and predictive modeling. It also involves developing measurement frameworks for marketing strategies using financial modeling and attribution, and building telemetry solutions. The role requires experience with causal impact analysis, A/B testing, data presentation, dashboard development, SQL, experimentation design, financial modeling, attribution methods, Python for data analysis and ML algorithms, Agile principles, data governance, and ETL pipeline automation. | DataPost-train | 5 |
| Lead Software Engineer EQ -GCT-MANAGEMENT UK Lead Software Engineer at JPMorgan Chase focused on building and integrating AI/ML and advanced analytics into real-time trade processing applications. The role involves designing and developing software solutions, defining technology roadmaps, and implementing data pipelines and automation platforms, with a strong emphasis on agentic workflows and AI development tools. | Agent | 5 |
| Java AWS Lead Software Engineering Lead Software Engineer for JPMorgan Chase's Consumer & Community Banking Trust and Security Team, focusing on building secure, cloud-native applications using Java, Spring Boot, and AWS. The role involves designing, developing, and deploying software solutions, with a significant emphasis on driving team adoption of enterprise-authorized AI-assisted engineering practices to enhance code quality, delivery speed, and operational outcomes. This includes validating AI outputs, understanding responsible AI use, and coaching engineers on safe adoption within delivery practices. | — | 5 |
| Java AWS Lead Software Engineer Lead Software Engineer for Consumer and Community Banking Connected Commerce team, responsible for enhancing, building, and delivering technology products. The role involves driving team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while also setting up monitoring and reliability for infrastructure and models. Requires strong Java and AWS skills, with experience in system design, application development, and leading software engineers. | — | 5 |
| Quantitative Trading & Research – Markets Treasury – Associate Associate Quantitative Researcher at JPMorgan Chase focused on delivering data-driven solutions for liquidity, funding, and capital management. The role involves designing and implementing advanced models for risk assessment and P&L prediction, leveraging AI/ML, automation, and large-scale data analytics to drive strategic insights and optimize financial resource allocation. Collaboration with trading, treasury, and technology teams is key. | Ship | 5 |
| Lead Software Engineer - Data Engineering Lead Software Engineer - Data Engineering at JPMorgan Chase responsible for designing, building, and operating scalable data platforms and pipelines. The role focuses on creating high-quality curated datasets with clear contracts, lineage, and SLAs/SLOs, ensuring strong controls across security, privacy, resiliency, and auditability. The engineer will also partner with product and platform teams to enable AI/ML and agentic patterns, and build search/indexing pipelines supporting RAG-style experiences. The role requires hands-on expertise in Java and Python, data modeling, orchestration, transformation frameworks, and secure engineering fundamentals, with an emphasis on responsible AI use in engineering workflows. | — | 5 |
| Principal Software Engineer - Java & Cloud Principal Software Engineer at JPMorgan Chase focusing on architecting and governing agentic AI-enabled engineering workflows to improve delivery speed, code quality, and operational outcomes. This role involves applying AI-assisted development tools, defining guardrails for validation, security, and reuse, and leading the adoption of these practices across teams within a regulated financial institution. | Agent | 5 |
| Vice President, AI/SEO Content Optimization Strategy This role focuses on developing and executing an AI/SEO content strategy for JPMorgan Chase's hubs, aiming to improve customer discovery and engagement through evolving search and AI-driven experiences. The Vice President will operationalize AI tools for content optimization, accelerate content creation, ensure brand consistency, and manage performance standards and governance in a regulated environment. | — | 5 |
| Data Engineer III – Palmos (Enterprise Platforms) Data Engineer III on the Palmos platform at JPMorgan Chase, responsible for onboarding enterprise data and building scalable data pipelines. The role involves designing, developing, and maintaining data solutions for analytics, reporting, and AI/ML use cases, collaborating with various teams, and ensuring data quality and security within a data mesh architecture. Experience with Python, Spark/PySpark, Databricks, SQL, cloud platforms, and SDLC practices is required, along with hands-on experience using AI coding assist tools. | — | 5 |
| Software Engineer III- SRE Software Engineer III role focused on Site Reliability Engineering (SRE) within JPMorgan Chase's Enterprise Technology division. The role involves executing software solutions, designing, developing, and troubleshooting, with a strong emphasis on using enterprise-authorized AI capabilities to enhance reliability, operational decisioning, and code quality. Responsibilities include developing secure production code, automating remediation of recurring issues, acting as a point of contact during major incidents, and leading the adoption of AI-assisted reliability workflows. Requires proficiency in reliability best practices, experience with AI capabilities in the work environment, and fluency in a programming language. Experience with observability tools and automation is also expected. | — | 5 |
| Director of Software Engineering - CIB Identity Director of Software Engineering leading Identity and Access Management (IAM) and driving adoption of agentic AI-enabled engineering practices and SDLC/TLM automation. Focus on improving speed, quality, and operational outcomes through AI orchestration, automated testing, and incident triage, while ensuring guardrails for validation, security, and traceability. | Agent | 5 |
| Software Engineer II - Front End React/ AWS Software Engineer II focused on front-end development using React and AWS, with a strong emphasis on leveraging and validating enterprise-authorized AI coding assist tools within the SDLC to enhance productivity and code quality. The role involves building and maintaining software components, reporting/UI development, working with data pipelines, and collaborating with stakeholders and users in a rapid-release environment. Requires understanding of responsible AI use and validation of AI-generated outputs. | — | 5 |
| Software Engineer III - React Software Engineer III at JPMorgan Chase focused on building and maintaining technology products within the Consumer & Community Banking - Trust & Security Identity team. The role involves executing software solutions, creating secure production code, and leveraging enterprise-authorized AI coding assist tools to improve code quality and delivery speed. Responsibilities include designing and developing platform capabilities, operational processes, and an agentic intent-orchestration layer for natural-language assembly of journeys. The role also involves partnering with stakeholders to translate requirements into UI experiences and contributing to engineering communities of practice. | — | 5 |
| Senior Associate – AI Solutions PMO & Enablement This role is a non-technical PMO and enablement lead for an AI Solutions portfolio within a financial institution. It focuses on operational rigor, transparency, governance, and communication to support AI initiatives, rather than direct model development. | — | 5 |
| Lead Site Reliability Engineer Lead Site Reliability Engineer at JPMorgan Chase focused on improving application and platform reliability using data-driven analytics and AI capabilities. The role involves leading initiatives, mentoring engineers, and ensuring the stability and performance of systems, with a strong emphasis on adopting AI-assisted reliability workflows. | Serve | 5 |
| AWS Software Engineer III-ETL/AI Software Engineer III role focused on building and operating data platforms and services using AWS, with a strong emphasis on leveraging and understanding enterprise-authorized AI coding assist tools within the SDLC. The role involves designing, developing, and troubleshooting software solutions, ensuring code quality, and applying responsible AI principles. | Serve | 5 |
| Software Engineering III - AI/ML Engineer Site Reliability Engineer for AI/ML Data Platforms responsible for building scalable, resilient data solutions, coordinating incident management, performing root cause analysis, and developing/supporting AI/ML solutions for troubleshooting. The role emphasizes using enterprise-authorized AI coding assist tools and understanding responsible AI use. | Serve | 5 |
| Lead Software Engineer - Python Full Stack, AI/ML Lead Software Engineer role focused on building and enhancing market-leading technology products within the Commercial & Investment Bank. The role emphasizes delivering end-to-end cloud-native, microservices-based applications, leveraging AI-assisted engineering practices for code quality, delivery speed, and operational outcomes. Requires strong Python full-stack development skills, experience with cloud platforms, databases, and a deep understanding of responsible AI use in engineering workflows. | — | 5 |
| Lead Software Engineer - SRE Lead Software Engineer - SRE role focused on building and optimizing production systems, automating operations, and leveraging AI tools to enhance efficiency and reliability within a financial services context. The role emphasizes driving adoption of AI-assisted engineering practices and ensuring responsible AI use. | — | 5 |
| Lead Software Engineer - Public Cloud Engineering Lead Software Engineer in Public Cloud Engineering - Infrastructure Platforms at JPMorgan Chase. The role focuses on enhancing, building, and delivering technology products, with a key responsibility to drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. This includes setting validation standards for AI outputs and coaching engineers on safe and compliant adoption. | — | 5 |
| Lead Software Engineer - Python , Fast API , AWS Lead Software Engineer role focused on building and running secure, scalable backend services and APIs using Python, Django, and/or FastAPI within an Infrastructure Platforms team. The role emphasizes applying AI-assisted development workflows, automating network services, leading system design, improving operational stability, and coaching engineers on best practices, including responsible AI use and validation of AI outputs. | — | 5 |
| Lead Software Engineer - Engineering Advocacy Lead This role focuses on driving the adoption of AI-assisted development practices among 10,000 Payments engineers at JPMorgan Chase. The Lead Software Engineer will embed with teams, write code, mentor engineers, and champion the use of tools like GitHub Copilot and Claude Code, ensuring responsible and compliant usage while improving code quality and delivery speed. The role emphasizes practical application and influencing engineering practices across a large organization within the fintech domain. | — | 5 |
| Software Engineer II, Korea Payments Technology Software Engineer II role in Korea Payments Technology at JPMorgan Chase, focusing on enhancing, designing, and delivering secure, stable, and scalable technology products within an agile team. The role involves executing software solutions, troubleshooting, and leveraging enterprise-authorized AI coding assist tools to improve productivity and code quality, while critically evaluating AI outputs and understanding responsible AI use. | — | 5 |
| Software Engineer III - Python, AWS, AI Software Engineer III role at JPMorgan Chase focused on Python and AWS within the Commercial & Investment Bank. The role involves designing and delivering technology products, executing software solutions, and creating production code. A key aspect is the utilization and critical evaluation of enterprise-authorized AI coding assist tools to enhance productivity and code quality, alongside understanding responsible AI use in engineering workflows. The position also includes supporting BAU operations, debugging, and providing L3 support for production systems. | — | 5 |
| Product Delivery / Project Manager - Vice President Product Delivery / Project Manager, Vice President, for a Consumer & Community Banking (CCB) Finance AI/ML organization. The role focuses on end-to-end governance, delivery execution, and stakeholder alignment for AI-enabled products, ensuring controlled, compliant, and scalable delivery from idea to launch. Responsibilities include managing project governance, coordinating with control partners, running delivery operations, creating executive communications, owning Jira hygiene, coordinating cross-functional execution, and managing use case intake and pipeline. | — | 5 |
| Analytics Solutions Manager, Strategy and Transformation-Vice President This role focuses on driving strategy and execution for analytics and AI-driven digital and marketing transformation initiatives within JPMorgan Chase. The individual will partner with various teams to define business needs, shape solutions, facilitate delivery, and measure outcomes, emphasizing the responsible use of data and models. | — | 5 |
| Consumer Banking American Dream Analytics Director Director of Data Science for Consumer Banking's American Dream Initiative, focusing on customer analytics to drive engagement, inform strategy, and measure progress. The role involves leading a team, defining analytics strategy, and delivering AI/ML solutions within a regulated financial services environment. | Ship | 5 |
| Senior Lead Site Reliability Engineer Senior Lead Site Reliability Engineer focused on building and implementing AI-assisted reliability workflows, including AI agents and autonomous systems, within a regulated fintech environment. The role involves defining NFRs, ensuring observability, and leveraging AI capabilities for design and operational decisioning, with a strong emphasis on safe AI usage and integration with existing infrastructure. | AgentServe | 5 |
| Senior Director of Site Reliability Engineering Senior Director of Site Reliability Engineering to lead firmwide adoption of AI capabilities in reliability operations, setting guardrails for AI-assisted and agentic workflows, and ensuring safe and scalable implementation within a regulated financial environment. | Agent | 5 |
| Senior Lead Software Engineer Senior Lead Software Engineer for JPMorgan Chase's CDAO AI/ML Data Platform team, focusing on enhancing, building, and delivering technology products. The role involves providing technical guidance, developing secure code, influencing product design, and driving the adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. Requires strong core engineering skills, experience with enterprise-authorized AI-assisted development tools, and a deep understanding of responsible AI use in engineering workflows. | — | 5 |
| Product Delivery Manager - Machine Learning and AI Product Delivery Manager for a Machine Learning & Intelligent Operations team focused on developing and sustaining innovative AI/ML solutions for Consumer & Community Banking Operations. The role involves driving end-to-end product execution, managing the roadmap, ensuring team health, and partnering with product and technology teams to overcome impediments. | — | 5 |
| Data Scientist Lead Lead Data Scientist to build an enterprise-scale architecture intelligence capability using AI/LLM techniques, focusing on data quality, trend analysis, and insight generation for technology strategy. | Agent | 5 |
| Senior Lead Software Engineer Senior Lead Software Engineer to design, build, and optimize high-performance, low-latency distributed systems for AI/ML data platforms. Role involves architecting services, implementing infrastructure-as-code, and improving observability, while partnering with ML engineers and data scientists. Emphasis on owning production outcomes and driving adoption of AI-assisted engineering practices. | — | 5 |
| Senior Lead Software Engineer - AI Senior Lead Software Engineer focused on building and delivering AI-driven technology products within Corporate Technology at JPMorgan Chase. The role emphasizes driving GenAI adoption, accelerating innovation to production, and ensuring governance transparency by building scalable solutions and integrating AI-assisted engineering practices into the SDLC. Key responsibilities include technical guidance, secure code development, driving adoption of AI tools, building resilient services, and embedding governance and auditability. | Ship | 5 |