JPMorganChase jobs

JPMorgan Chase is seeking a Principal Architect to lead the transformation of B2B Commerce and payments. This role is crucial for shaping the future of financial services technology and driving significant business impact. You will be responsible for defining the target-state architecture and implementing modern cloud, distributed systems, and AI engineering practices to accelerate a strategic growth initiative.

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This role is a hands-on leadership opportunity to shape the strategy and technical direction for AI-enabled delivery within a modern data platform. You will lead the design, delivery, and scaling of production-grade AI agent capabilities, taking agentic workflows from early results to scaled, production-grade capabilities. The goal is to improve speed, quality, and governance across data product delivery, leveraging a Databricks-based data platform on Amazon Web Services. You will partner closely with various teams including Information Architecture, Data Engineering, Data Governance, and business stakeholders to drive measurable outcomes.

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As a Vice President, Data Scientist in the Data Science team within Risk Management and Compliance, you will help shape the future of financial services by developing and implementing advanced AI solutions. You will collaborate with product, engineering, and business partners to create impactful, scalable tools that drive real business value. In this role, you will have the opportunity to experiment, learn, and innovate alongside a diverse team, leveraging your expertise in data science and finance. Together, we will deliver solutions that transform how we operate and serve our clients. Join us to make a meaningful difference and grow your career in a dynamic, inclusive environment.

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As a Senior Lead Software Engineer for Agentic AI at JPMorgan Chase within the Asset & Wealth Management (AWM) Technology organization, you will be an integral part of an agile team enhancing, building, and delivering market-leading technology products. You will drive significant business impact by applying deep technical expertise to tackle diverse challenges across multiple technologies. This role focuses on leading the development of production-grade solutions that harness agentic AI, large language models, and automation to improve the experience for advisors and clients in Private Banking. You will collaborate with product, design, architecture, cybersecurity, and data teams to solve complex business challenges and accelerate delivery.

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As a Senior Lead Software Engineer at JPMorgan Chase, you will be a key member of an agile team focused on enhancing, building, and delivering cutting-edge technology products. You will design and develop critical technology solutions within Chase AI components, including Chase Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance. This role involves solving complex problems, creating secure and high-quality production code, and producing architecture and design artifacts for sophisticated applications. You will also analyze diverse datasets to drive improvements, adopt new technologies, and collaborate with cross-functional teams to deliver end-to-end solutions while ensuring compliance with all regulatory requirements. A significant aspect of this role is driving the adoption of enterprise-authorized AI-assisted engineering practices to enhance code quality, delivery speed, and operational outcomes.

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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer within the Commercial & Community Banking, Marketing Tech team, you will be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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JPMorgan Chase is seeking a Software Engineer III to join their Consumer & Community Banking team. In this role, you will be a key technical contributor responsible for enhancing, building, and delivering market-leading technology products securely and at scale. You will work within an agile team to develop critical technology solutions across various business functions, driving the adoption of AI-assisted engineering practices to improve code quality and delivery speed. This position offers a rewarding opportunity to advance your software engineering career by working on cutting-edge AI and LLM-powered solutions.

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GB Intelligence is redefining how Global Banking operates by bringing AI-driven insights and workflow automation into the core of deal origination, market and sector intelligence, and client coverage. This is a rare opportunity to build production-grade AI capabilities that directly shape how bankers work, at the scale and complexity that only JPMorganChase can offer. You'll grow alongside a team of engineers who are passionate about turning cutting-edge technology into trusted, real-world impact. As a Senior Lead Software Engineer, you will be a hands-on engineer building AI capabilities that integrate directly into bankers' daily workflows. You will engineer secure services and data flows, develop agentic workflows, and help transform complex client, deal, and market data into trusted insights—operationalized across downstream systems to accelerate execution, strengthen risk discipline, and elevate the day-to-day experience for Global Banking teams. Your work will sit at the intersection of modern AI engineering and enterprise-grade reliability, where the quality of what you build has direct business consequence.

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As a Lead Software Engineer Python GenAI at JPMorgan Chase, you will be an integral part of an agile team focused on enhancing, building, and delivering trusted technology products securely and scalably. You will act as a core technical contributor, responsible for developing critical technology solutions across various business functions to meet firm objectives. This role involves designing, coding, testing, and delivering automation, including LLMs and agents, to eliminate manual work and streamline operational processes. You will also govern application risk, controls, and compliance, ensuring adherence to firm standards and managing technology lifecycle. A key aspect of this role is owning security and data accountability for applications, ensuring strong authentication, authorization, and proper data handling.

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Join a dynamic team at the forefront of financial innovation, leveraging modern machine learning and generative AI to reshape global finance. This role involves partnering closely with product, operations, risk, and technology teams to transform ideas into measurable outcomes. You will have the opportunity to mentor others and influence how production AI is built and operated within the payments sector. As a Vice President Machine Learning Data Scientist, you will lead the design, development, and production deployment of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own the entire delivery lifecycle, from problem framing and experimental design to scalable MLOps, evaluation, governance, and integration with strategic systems, while also setting technical direction and ensuring reliable, secure, and observable solutions.

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We are seeking a seasoned Software Engineer III to join our agile team within the Commercial & Investment Bank. In this role, you will be instrumental in designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across various technical areas and business functions to support the firm's objectives. This position involves leveraging modern full-stack development practices with Java, Spring Boot, and React, alongside cloud-native solutions on AWS. A key aspect of the role includes engaging with Generative AI technologies, including prompt engineering for LLMs and utilizing AI tools to enhance productivity and code quality, while ensuring responsible and validated AI usage.

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We are seeking an Applied AI Scientist with substantial machine learning experience to join our AI Technologies team. In this role, you will be instrumental in developing practical machine learning and generative AI solutions, transitioning them from experimentation to production environments. You will collaborate closely with product owners, data engineers, software engineers, and fellow ML practitioners to design, test, refine, and deploy AI/ML capabilities at scale. This is a hands-on position for individuals who thrive on solving technical challenges, writing code, exploring innovative approaches, and building reliable systems from initial concepts.

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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle—from requirements clarification and design through implementation, testing, deployment, and production support. You will develop backend services in Python, build APIs and micro-services, implement LLM-based solutions including agentic workflows, and deliver into a multi-cloud environment using Terraform, Kubernetes, and CI/CD pipelines. This role offers you the opportunity to grow your expertise in applied AI engineering while contributing to systems that operate at enterprise scale.

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We are seeking a Lead Machine Learning Engineer with a focus on MLOps to join our Recommendation Engine team. In this role, you will be instrumental in building and maintaining sophisticated pipelines for distributed model training on large compute clusters, as well as for batch and real-time model serving. You will also manage hyperparameter tuning at scale, model monitoring, and production validation within a well-managed, controlled environment. Our product, Personalization and Insights, delivers high-throughput, low-latency applications powered by state-of-the-art machine learning architectures deployed on AWS. These applications enhance personalized experiences across Chase Consumer & Community Banking channels, integrating traditional banking services with offerings in Travel, Merchant Offer Shopping, and Dining.

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The Machine Learning Center of Excellence (MLCOE) at JPMorgan Chase partners across the firm to shape, create, and deploy Machine Learning Solutions for challenging business problems. As a Quant AI Summer Associate within the MLCOE, you will join a team of technologists, ML researchers, and engineers exploring cutting-edge research and applying the latest Machine Learning techniques to J.P. Morgan’s unique data assets. You will collaborate directly with traders, portfolio managers, quants, data scientists, and salespeople to drive the data-led transformation of our businesses. Our Summer Associate Internship Program offers professional growth and development through project work, mentorship, and engaging speaker series, with potential for full-time employment offers upon successful completion.

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As an Executive Director Machine Learning Engineer on the Recommendation Engine team, you will implement fine-tuning and reinforcement learning algorithms on large compute clusters. You will build and run real-time and batch model serving systems, manage hyper-parameter tuning at scale, and oversee model monitoring and production validation. This role is vital for model development, testing, and deployment in a well-managed, controlled environment, supporting high throughput, low latency applications that leverage state-of-the-art machine learning architectures deployed in AWS. These applications power personalized experiences across Chase Consumer & Community Banking channels.

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JPMC is hiring for its growing Asset and Wealth Management AI Engineering team, operating with a startup mentality to build next-generation AI applications and platforms for the financial services industry. We are seeking a hands-on AI Engineering lead and domain expert passionate about creating cutting-edge business solutions powered by AI. As a Senior Associate AI/ML Engineer, you will take a lead role in hands-on development of high-impact business solutions by analyzing data, developing advanced ML and LLM models, and deploying them to production environments on AWS or Azure. You will leverage your extensive development expertise and a drive for innovation to solve complex business problems for our Private Bank clients, embracing and encouraging the adoption of leading-edge technologies and methodologies.

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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking, OPS Tech, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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As a Senior Lead Software Engineer within Consumer & Community Banking, OPS Tech, you will be a key member of an agile team focused on enhancing, building, and delivering market-leading technology products securely, stably, and at scale. You will leverage your deep technical expertise and problem-solving skills to address diverse challenges across multiple technologies, driving significant business impact. This role involves leading end-to-end delivery of complex full-stack initiatives, setting technical direction, and architecting cloud-native microservices and APIs with a strong emphasis on security, scalability, and resilience.

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As a Senior Director of Software Engineering at JPMorgan Chase, you will lead multiple technical areas and manage departments responsible for delivering a unified AI infrastructure layer across on-premises environments, public cloud, and emerging accelerated-compute vendors. You will collaborate across AI/ML engineering, infrastructure, security, and vendor teams to ensure the firm remains at the forefront of AI platform capabilities and operational excellence. In this role, you will own training and experimentation on a Kubernetes-standardized platform, acting as an active design partner to guide architectural trade-offs and ensure designs translate into reliable, secure, and operable systems at enterprise scale.

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