JPMorganChase jobs

As a Senior Lead Software Engineer within the Consumer and Community Banking - Digital Technology team, you will be a key member of an agile team focused on enhancing, building, and delivering secure, stable, and scalable technology products. You will leverage your deep technical expertise and problem-solving skills to address a wide range of challenges across multiple technologies and applications, driving significant business impact. This role involves architecting and governing AI-enabled engineering workflows to boost delivery speed, code quality, and operational outcomes, while also influencing leaders and defining enterprise-scale AI-enabled architecture for next-generation customer experiences.

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This role is for a Lead Software Engineer focused on building an AI Agent Platform. You will lead the engineering efforts for a high-visibility platform that includes an SDK, orchestration frameworks, and reusable components to power agentic AI experiences across the organization. Your responsibilities will include owning the foundational tooling for composing agents, grounding them in enterprise data, providing durable memory, and improving accuracy on complex capabilities like NL2SQL and RAG. You will also be responsible for raising delivery standards, turning complex problems into reliable production systems, and setting the quality bar for infrastructure used by many teams and users. The team values strong engineering, thoughtful collaboration, and 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 Consumer and Community Banking - Deposits 2.0 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 Product Manager / AI Product Manager to join our Payments Platform team. In this high-visibility role, you will define and drive the product strategy for AI-powered automation within our payments platform. You will leverage data, machine learning, and agentic AI to enhance reliability, mitigate operational risk, and accelerate the resolution of payment issues at scale. This position sits at the critical intersection of payments domain workflows, machine learning (particularly anomaly detection), and LLM-based systems (RAG, agentic orchestration).

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As a Director of Software Engineering at JPMorgan Chase within Operations Collections, 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. You will serve as a primary decision-maker for your teams and be a driver of innovation and solution delivery.

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JPMorgan Chase is seeking a Lead Software Engineer for their Asset and Wealth Management- Analytics & Applied AI Team. This role is integral to an agile team focused on enhancing, building, and delivering secure, stable, and scalable technology products. You will be a core technical contributor, responsible for developing critical technology solutions across various business functions to meet firm objectives. The ideal candidate is passionate about solving business problems through innovation, analytics, and an AI-first engineering mindset, focusing on building reusable, governed analytical data products and accelerating regulatory and CEO-priority analytics. You will lead an AI-first transformation of data engineering and analytics by productizing the data product lifecycle and building human-in-the-loop autonomous agents to reduce manual effort, improve auditability, and enable self-service consumption on the strategic data mesh, while also owning the modernization of this mesh.

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As an Applied ML and Generative AI leader within the Corporate Technology team, you will develop applications and provide tech support for all corporate functions across the network. You will operate as a hands-on leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet enterprise expectations for security, stability, and operational rigor. A core requirement is stakeholder partnership: you will routinely explain what is being built, why it matters, and how it will perform in production to both technical and non-technical audiences, enabling informed decisions and clear delivery alignment.

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As the Applied ML and Generative Lead within J.P. Morgan, you will operate as a hands-on engineering leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet enterprise expectations for security, stability, and operational rigor. A core requirement is stakeholder partnership: you will routinely explain what is being built, why it matters, and how it will perform in production to both technical and non-technical audiences, enabling informed decisions and clear delivery alignment.

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As a Senior Manager of Software Engineering at JPMorgan Chase, you will lead and mentor multiple technical teams focused on advancing financial technologies within the Commercial & Investment Bank - Payments (Data Analytics & Regulatory Compliance) Team. You will be responsible for designing and delivering secure, stable, and scalable technology products, driving critical technology solutions across various business functions to meet firm objectives. This role involves setting and scaling operating practices for AI-assisted engineering and SDLC automation, establishing measurable expectations, and ensuring the reuse of proven technology assets.

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This role focuses on shaping an AI-first Developer Portal, serving as a modern interface for clients and systems to discover capabilities, onboard, troubleshoot, and integrate through agent-ready workflows and high-quality external APIs. As a Senior Vice President of Software Engineering, you will lead teams and remain hands-on in building secure, stable, and scalable platform capabilities that modernize the developer experience for the agentic era. You will own the technical direction and execution for an AI-native portal experience where core capabilities are designed for consumption by agents and automation, workflows are exposed as reusable actions/tools with strong controls, and external API experiences are productized for discoverability and integration at scale.

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JPMorganChase is seeking an Applied AI ML Director to join their Commercial & Investment Bank team in Seattle, WA. This role focuses on transforming payments through classical and cutting-edge AI/ML technologies. You will be responsible for strategizing and building innovative solutions to enhance trust, safety, and operational efficiency, owning projects end-to-end from problem framing and data strategy to production deployment and measurement. While setting technical direction, you will remain hands-on and collaborate with product, engineering, data, risk, and compliance stakeholders.

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Our Consumer Bank AI Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across field workforce effectiveness, customer engagement, and banker-led growth. As an Applied AI Modeling Vice President in this team, you will build and deploy advanced AI/ML models that measurably improve banker sales effectiveness and customer outcomes. Your models will help bankers deliver the right outreach at the right time to our customers, driving deposit growth, increasing customer retention, and strengthening relationships. You will operate in a highly governed environment and partner closely with product, UX, operations, and technology teams to translate modeling innovation into field-ready tools that bankers trust and adopt.

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Join a team that unifies data and analytics talent across Chase to build competitive advantages for our businesses. As a Quant Analytics Senior Associate within the MLIO Analytics team, you will play a key role in optimizing Conversational Insights and Insights for Coaching products. You will span the entire problem-solving lifecycle, including identifying gaps through thorough analyses, conducting root cause analyses using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels.

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Join a team applying modern artificial intelligence and machine learning to high-impact, high-scale payments workflows. You will work with large datasets and complex operational processes to deliver measurable outcomes, building production-grade solutions spanning natural language processing, document understanding, and LLM-enabled applications. You will collaborate closely with business and technology partners to take ideas from concept to deployment, helping to raise engineering standards and mentor others while shipping real solutions. As an Applied AI/ML Lead, you will build and deliver enterprise AI/ML solutions that improve operational efficiency and decisioning, partnering with senior stakeholders to frame problems, define success metrics, and plan roadmaps. You will design, implement, and deploy production services on Amazon Web Services (AWS) with strong engineering rigor, establishing model governance, monitoring, and responsible AI practices.

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Join a team applying modern artificial intelligence and machine learning to high-impact, high-scale payments workflows. You will work with large datasets and complex operational processes to deliver measurable outcomes, building production-grade solutions spanning natural language processing, document understanding, and LLM-enabled applications. You will collaborate closely with business and technology partners to take ideas from concept to deployment, while also raising engineering standards and mentoring others. As a Vice President in the Wholesale Payments Operations team, you will build and deliver enterprise AI/ML solutions that improve operational efficiency and decisioning, partnering with senior stakeholders to frame problems, define success metrics, and plan roadmaps. You will design, implement, and deploy production services on Amazon Web Services (AWS) with strong engineering rigor, establishing model governance, monitoring, and responsible AI practices. The role focuses on building scalable AI/ML capabilities for operations use cases, including document processing and workflow automation, contributing to reusable platforms and patterns.

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Join JPMorganChase's Machine Learning Center of Excellence as a Lead Software Engineer, contributing to the Artificial Intelligence and Machine Learning Data Platforms team. You will be a key member of an agile team, responsible for designing and delivering market-leading technology products securely, stably, and at scale. This role involves implementing critical technology solutions across various technical areas to support business objectives, collaborating with experts in machine learning, deep learning, and reinforcement learning.

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Join a fast-moving technology team building a business observability platform for the Payments business. This platform serves as an analytics foundation enabling AI-assisted decision-making for senior leaders and real-time monitoring and alerting for operations teams. The role will contribute to delivering intraday transaction insights, anomaly detection, forecasting, and conversational analytics, all supported by a governed metrics foundation. As a Data Scientist Senior Associate, you will be responsible for the analytical integrity of the team's deliverables, validating data behind key metrics, defining model correctness, and ensuring the trustworthiness of anomaly detection and forecasting outputs in production. You will collaborate closely with product, engineering, and design teams to influence the product roadmap and effectively communicate value to stakeholders.

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JPMorgan Chase & Co. is seeking a hands-on AI Engineering Lead and domain expert to join the growing Asset and Wealth Management AI Engineering team. This role involves building next-generation technology that leverages JPMC's unique data and full-service advantage to develop high-impact AI applications and platforms within the financial services industry. The ideal candidate will be excited about the opportunity to build cutting-edge business solutions powered by AI, combining proven development expertise with a passion for creating innovative technology through solid engineering practices.

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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 Public Cloud Platform Engineer at JPMorgan Chase within the Global Technology team, you will be guiding application teams on moving to public cloud, supporting with maintaining, and resolving production incidents that impact our customers, clients, and businesses around the globe. You will drive, support, and deliver on a strategy to operate and build broad use of Amazon's utility computing web services, identify opportunities to improve resiliency, availability, security, and high-performing platforms in Public Cloud using JPMC best practices, and improve reliability, quality, and reduce time to resolve issues in production incidents on software applications.

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As a Senior Lead Software Engineer on the Firmwide AI/ML Deployment Platform team, you will be a key part of a globally distributed team responsible for architecting, building, and owning the infrastructure that enables model deployment at scale. You will have significant autonomy, driving technical direction, engaging directly with clients, and making critical architectural decisions. The team builds the control plane, APIs, monitoring, and deployment infrastructure that internal teams rely on, constantly evolving to meet new scale requirements and challenges. This role is ideal for someone who enjoys owning problems end-to-end, making difficult tradeoffs, and shipping systems that empower other engineers.

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