JPMorganChase jobs

As a Senior Lead Software Engineer within Corporate Technology – Chief Technology Office, you will serve as a senior individual contributor and technical leader on an agile team. Your role involves designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will drive critical technology solutions across multiple technical areas, translate firm-wide objectives into concrete technical designs, and elevate the engineering standard through strong architecture, high-quality delivery, and operational rigor. This position requires hands-on technical leadership, contributing production code, and owning end-to-end delivery from design through production operations.

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This is a unique opportunity to help shape the future of our Private Bank by creating an Agentic Private Bank. This initiative aims to reimagine the entire process, rethink the operating model, and develop AI agents equipped with the latest tools and technologies to fundamentally reshape how business is performed. As an AI ML Engineer within the team, you will collaborate with various business lines and functions to deliver software solutions. You will have the chance to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to achieve significant business impact. Additionally, you will design and implement highly scalable and reliable data processing pipelines and perform analysis to optimize business results.

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As a Director of Software Engineering at JPMorganChase, you will lead a technical area and drive impact across teams, technologies, and projects. You will utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives. This role involves serving as a primary decision-maker for your teams and a driver of innovation and solution delivery, focusing on agentic architecture and protocol standards.

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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - Java Developer + Python + AI + Elastic search at JPMorgan Chase within the Commercial & Investment Bank, you'll serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out 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 at JPMorgan Chase within Asset and Wealth Management, you will be an integral part of an agile team focused on enhancing, building, and delivering market-leading technology products securely, stably, and scalably. You will drive significant business impact by applying deep technical expertise and problem-solving methodologies to a diverse range of challenges across multiple technologies and applications. This role involves designing and implementing LLM-driven agent services for various development tasks and integrating these agents with existing toolchains.

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As a Senior Lead Infrastructure Engineer at JPMorgan Chase, you will be a core member of the Employee Platforms team, contributing to the evolution of a world-renowned company. You will specialize in infrastructure engineering, promoting programs that integrate multiple technologies and applications. Working within a small, focused team, you will own delivery end-to-end and operate close to the architecture, maintaining a high bar and moving quickly. Your role as an AI-Native Systems Engineer involves promoting the transition to an agentic-first platform, designing and developing agentic workflows, and integrating AI across the full stack to accelerate the path from idea to production. You will also help the team adopt AI-native practices and patterns, engaging closely with emerging agentic capabilities.

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As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank Digital & Platform Services, Data Analytics, you will be an integral part of an agile team focused on enhancing, building, and delivering trusted, market-leading technology products securely, stably, and scalably. You will drive significant business impact by applying deep technical expertise and problem-solving methodologies to diverse challenges across multiple technologies and applications. This role involves designing and shipping production agents, building robust retrieval systems, and managing complex agent memory and organizational context.

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Join an Applied Artificial Intelligence and Machine Learning team that takes Generative AI and Machine Learning applications from prototype to production for a Global Banking business. You will work in a collaborative, inclusive environment with opportunities to build technical depth. As a Senior Associate–Applied Artificial Intelligence / Machine Learning, you will help solve exciting business challenges for a Global Banking business within a leading global financial institution. You will work with product, business, and engineering partners to turn business problems into AI/ML solutions, balancing accuracy, latency, cost, and risk, and deliver them reliably in a regulated environment. You will apply sound technical judgment to balance business needs with technical constraints, contribute to experimentation and validation, and help productionize scalable and trustworthy solutions. You will also engage in knowledge sharing through enterprise machine learning communities.

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Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act, and learn to solve critical problems for an industry-leading financial institution. You will join a team transforming operations by leveraging advancements in agent-based AI and modern generative AI techniques. As an Applied Artificial Intelligence and Machine Learning Associate, you will contribute to building autonomous agent systems that solve high-impact business problems. You will help translate business needs into measurable outcomes by supporting applied research, model development, and enterprise-ready delivery. You will work in a collaborative environment that values ownership, learning, and responsible adoption of modern AI.

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As an Applied AI/ML Lead within the Corporate Sector, Trade Surveillance Technology team, you will be responsible for delivering AI/ML enabled analytical and technical solutions that support market surveillance and regulatory compliance capabilities. You will work across the full model lifecycle—from problem framing and data exploration to model development, productionization, and monitoring, partnering closely with data science and engineering teams. You will translate ambiguous business needs into robust, production-grade AI systems while championing sound engineering and responsible AI practices. This is a hands-on technical role with growing scope for technical leadership, mentorship of junior engineers, and influence over architectural decisions.

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As a Senior Associate - Forward Deployed AI Engineer, you will be responsible for translating regulatory and operational needs into practical, technology-enabled solutions. This role sits at the intersection of business, data, technology, and AI, combining stakeholder engagement, business analysis, solution design, rapid prototyping, and hands-on delivery. You will independently deliver defined use cases, collaborate closely with business and technology partners, and apply a combination of process improvements, data, analytics, automation, and AI to enhance outcomes across Compliance and Risk functions.

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Join J.P. Morgan’s Global Research Center and help modernize research through applied AI, machine learning, and data science. You will develop and implement AI and data science solutions to enhance research methodologies and outputs, translating business problems into deployable data science solutions using Python, machine learning, and Large Language Models (LLMs). Collaborate with research analysts and stakeholders to identify opportunities for data-driven insights and workflow automation, supporting solutions from data exploration and model development through validation and deployment. Ensure solutions adhere to appropriate data integrity, regulatory, and model governance standards.

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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. If you enjoy solving hard problems with real impact, this is the opportunity.

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This role is for a Senior Software Engineering Manager within the Corporate Technology, Asset & Wealth Management Finance team. You will lead multiple engineering teams responsible for delivering data engineering and business intelligence solutions that support finance stakeholders. Your focus will be on setting clear technical direction, establishing operating practices, and defining delivery expectations across teams, ensuring a balance between speed, quality, and operational excellence. You will collaborate closely with business and technology leaders to prioritize outcomes and align roadmaps, fostering an inclusive culture centered on ownership, continuous improvement, and the responsible application of enterprise-authorized AI capabilities. This is an opportunity to combine people leadership with technical depth and achieve measurable impact.

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The Machine Learning Center of Excellence (MLCOE) within JPMorgan Chase's Chief Data & Analytics Office (CDAO) partners across the firm to develop and deploy Machine Learning solutions for complex business challenges. The CDAO leverages data and AI/ML technologies to generate insights, drive decision-making, develop new products, improve productivity, and enhance risk management. As a Time Series and Reinforcement Learning Summer Associate, you will join a team of technologists and researchers exploring cutting-edge ML research and applying advanced techniques to J.P. Morgan's data assets. You will collaborate directly with business stakeholders to drive a data-led transformation. The internship program includes project work, mentorship, and speaker series, with potential for full-time offers upon successful completion.

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We are seeking an AI ML Director to lead a team in building next-generation, AI-driven Global Financial Crimes Strategic Monitoring solutions. This role involves detecting AML risk, regulatory violations, transaction risk, misconduct, and behavioral anomalies. You will be responsible for designing, building, and productionizing risk typologies, features, data pipelines, supervised and unsupervised ML models, and LLM risk explainability at scale. This is a hands-on role requiring deep expertise in ML operations, LLM integration, scalable ML systems, and production-grade engineering discipline, with opportunities to collaborate with product managers, architects, data science, and operational teams.

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Join a team where your engineering work accelerates how machine learning is built, governed, and delivered across JPMorgan Chase. You will help create platform capabilities that make it easier for teams to move from ideas to production with confidence. If you enjoy building scalable systems and improving developer experience, this role offers meaningful impact and career growth. As a Lead Software Engineer within the Corporate Artificial Intelligence and Machine Learning Data Platforms team, you will build and enhance products that support the machine learning lifecycle—spanning model operations, data development (such as processing and data annotation), and governance tooling. You will collaborate closely with engineers, system architects, product managers, data scientists, and research partners to deliver reliable, secure, and user-friendly platform services.

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Join our International Consumer Banking Chief Data & Analytics Office as an AI/ML Governance Control Manager, where you will shape the future of responsible AI adoption. You will collaborate with diverse teams, drive firmwide programs, and grow your career in a dynamic, innovative environment. At JPMorgan Chase, you will find opportunities for mobility, skill development, and the chance to contribute to industry-leading initiatives. As an AI/ML Governance Control Manager, you will own oversight and continuous improvement of the AI/ML governance control environment. You will partner with Technology, Compliance, Legal, Audit, and Operational Risk stakeholders to assess control health, drive remediation, and implement global programs, ensuring our AI/ML adoption is sustainable and impactful.

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As a Machine Learning Engineer – Document Digitization (LLMs)- Senior Associate within the Global Technology team, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.

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