JPMorganChase jobs

Join a team where your work directly shapes how machine learning is applied at scale across the firm. You’ll partner with product, engineering, and data teams to take ideas from experimentation through production, improving outcomes through thoughtful model development, evaluation, and operational excellence. As an Applied AI and Machine Learning Lead, you will drive the design and delivery of machine learning and deep learning solutions that solve meaningful business problems. You will take ownership from problem framing and experimentation through productionization, ensuring solutions are robust, scalable, and measurable. You will also help raise the technical bar through mentorship, strong engineering practices, and a culture of continuous learning.

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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 & Investment Bank, Post-Trade Technology team, 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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We are seeking a Director of Software Engineering and ML to lead a London-based team of software, data, and ML engineers. This role involves building B2B agentic commerce agents and productionizing the ML models they utilize as tools. You will be responsible for delivery, people management, and technical direction, ensuring the safe deployment of AI agents for corporate clients on the firm's governed agent platform. This is an opportunity to push the boundaries of what's possible in AI-driven commerce and make a significant impact on client solutions.

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This role involves leading hands-on engineering efforts to build and enhance agentic and GenAI capabilities for the LLM Suite platform. You will be responsible for deep technical problem-solving, architecture ownership, and collaborating with other engineers. The position focuses on transforming ambiguity into reliable production systems within a team that values craft, security, and learning. You will design and deliver production-grade AI/ML and agentic solutions, owning technical direction across architecture, implementation, and operational stability with a strong emphasis on secure, high-quality software. This includes evolving the platform using modern public cloud services and agentic frameworks, and exploring emerging patterns like agent-to-agent communication and agentic orchestration.

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As a Lead Software Engineer within Enterprise Technology, you will spearhead the architecture and hands-on implementation of scalable large language model (LLM) systems and agentic AI platforms tailored for enterprise use cases. You will design cloud-native solutions, establish robust evaluation and observability standards, and guide technical decisions across teams to enhance reliability, manage costs, and improve developer velocity. This role involves building and scaling production AI platforms that translate LLM capabilities into dependable, secure, and measurable business outcomes, partnering with product and engineering teams to design architectures, deliver reusable components, and elevate quality through strong engineering practices and technical leadership.

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As a Senior Lead Software Engineer within the Commercial & Investment Bank Digital Channel's team, you will be instrumental in building autonomous agent capabilities. These agents will be responsible for planning, executing, validating, and submitting code changes in bulk. The role emphasizes the development of evaluation harnesses, PR-provenance controls, CI/CD integrations, and operational readiness to ensure the safe scaling of machine-authored changes across various initiatives like runtime upgrades, framework migrations, security remediation, and standards adoption.

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As a Senior Lead Software Engineer within JPMorganChase's Commercial and Investment Bank, Payments Technology, you will be a key member of an agile team focused on enhancing, building, and delivering market-leading technology products securely and at scale. You will serve as the senior technical authority for the London team, defining the architecture for B2B agentic commerce agents and the ML models they utilize. Your work will directly influence how agents facilitate transactions for buyers and suppliers within the global banking framework, ensuring safety and scalability.

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As a Lead Software Engineer within JPMorganChase's Commercial and Investment Bank, Payments Technology, you will be a key technical contributor responsible for enhancing, building, and delivering market-leading technology products. In this role, you will own major components of B2B agentic commerce agents end-to-end. This includes developing the multi-agent system for negotiating and onboarding corporate suppliers, as well as managing the production path for training, serving, and monitoring the ML models these agents utilize as tools. You will drive the adoption of AI-assisted engineering practices to improve code quality and delivery speed, while ensuring the secure and stable operation of these advanced systems.

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As a Software Engineer III within JPMorganChase's Commercial and Investment Bank, Payments Technology, you will be a key member of an agile team focused on enhancing, building, and delivering market-leading technology products securely and at scale. Based in London, you will contribute to building B2B agentic commerce agents designed to negotiate, onboard, and communicate with corporate suppliers. This role also involves developing the data and machine learning pipelines that power the models these agents utilize as tools, all within the firm's governed agent platform, NEO.

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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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JPMorganChase is seeking top talent to join their Corporate & Investment Bank Technology organization, focusing on building production AI agents on the NEO platform. This role involves designing, productionizing, and operating large language model (LLM)-powered agents in a fast-paced environment, partnering closely with business, product, and engineering teams. You will contribute to a federated portfolio of production agents that deliver measurable impact across the Commercial & Investment Bank and Payments, leveraging the firm's scale, data, and full-service advantage.

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As a Lead Software Engineer within the Corporate Sector – Corporate Technology, you will be an integral part of an agile team focused on enhancing, building, and delivering market-leading technology products securely, stably, and scalably. This role encompasses architecture, hands-on delivery, and AI/ML enablement in production, requiring you to architect and implement resilient, highly scalable, fault-tolerant, and low-latency services. You will also lead and mentor the development team, collaborate with various stakeholders to design solutions, and build capabilities for ML pipelines, particularly for fraud detection and risk assessment. A key aspect of this role involves driving the adoption of AI-assisted engineering practices to improve code quality and delivery speed, while also designing and owning reusable ML platform components and building agentic AI services to automate engineering and model-ops workflows.

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Build what's next in enterprise AI—solutions that materially improve how teams make decisions, automate work, and serve internal customers. You will take generative AI from concept to production, help set the standard for semantic consistency across systems, and partner closely with stakeholders to turn complex business needs into measurable outcomes. You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions. As an Applied AI and Machine Learning Lead at JPMorganChase within Corporate Technology Data Science and AI, you will design, build, and deploy scalable analytical and generative AI solutions that deliver measurable business value. You will translate complex business needs into clear problem statements, success metrics, and production-ready models and intelligent workflows. You will help establish semantic modeling standards and a unified semantic layer that improves trust and consistency across analytics and AI use cases.

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As a Lead Software Engineer within JPMorganChase's Commercial & Investment Bank - Global Technology Banking team, you will be a core technical contributor responsible for enhancing, building, and delivering market-leading technology products. You will shape the platform's technical direction and lead the delivery of high-impact, production-grade capabilities, including building scalable services, engineering secure data flows, and integrating with existing systems. This role involves owning the full stack to create a unified, automated platform that accelerates deal velocity and strengthens execution quality for Global Banking teams, focusing on company screening and proprietary idea generation for M&A pipeline.

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JPMorgan Chase is seeking an Applied AI & Machine Learning Senior Associate to join their Asset Management Data Science Team in London. This role will focus on building the technical foundation for intelligent investor tools, leveraging advanced analytics and generative AI solutions. You will design context-management capabilities, develop LLM-powered applications, and create reliable pipelines for enterprise and investment data. The position involves partnering with investment, data science, engineering, product, and control teams to transform complex financial workflows into secure, scalable solutions within a globally connected team.

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Join one of the world's most influential companies and leverage your skills in cybersecurity to have a real impact on the financial industry. As a Lead Cybersecurity Architect within Cybersecurity Technology & Controls, you will be an integral part of a team developing high-quality cybersecurity solutions for software applications on modern cloud-based technologies. You will be responsible for carrying out critical cybersecurity architecture solutions by identifying, creating, and communicating risk, mitigation options, and solutions across multiple technical areas within various business functions in support of project goals.

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As a Lead Software Engineer within Commercial & Community Banking, you will be a core technical contributor responsible for enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable way. You will drive the design and development of creative full-stack software solutions, including building and implementing AI-driven capabilities such as LLM-based services and integrations into business workflows. A key aspect of this role involves driving team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while also architecting and delivering cloud-native microservices and APIs.

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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 building, scaling, and maintaining robust machine learning platforms. Your role involves designing and delivering market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You will implement critical technology solutions across multiple technical areas to support business objectives and drive innovation in ML platform capabilities.

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As a Lead Software Engineer within Corporate Technology and the AI/Machine Learning & Automation Center of Excellence, you will drive the scalable adoption of responsible AI and intelligent automation. This involves defining standards, reference architectures, and governance frameworks that various teams can consistently implement. You will influence outcomes across a federated delivery model by enabling reuse, aligning stakeholders, and embedding practical frameworks to improve delivery speed, resiliency, and control adherence.

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Join a technology team where your engineering leadership directly improves customer and colleague experiences through resilient, secure, cloud-enabled products. As a Senior Lead Software Engineer, you will drive meaningful outcomes by building and evolving secure, scalable platforms and services. You will apply deep technical expertise and leadership to solve complex engineering problems, accelerate cloud adoption, and raise the quality bar through strong design and engineering practices. This role is based in Columbus, Ohio.

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