Help shape how AI is built, deployed, and scaled across JPMorganChase. You will work on business-critical products that apply modern machine learning to software, cybersecurity, and technology infrastructure. You will partner with engineers and research teams to take ideas from prototype to production. If you enjoy solving complex problems and building reliable platforms, this role offers meaningful impact and strong career growth. Join a team that values collaboration, inclusion, and high engineering standards. As a Full Stack Software Engineer, AI Engineering at JPMorgan Chase in the Applied Innovation of AI team within the Chief Data and Analytics Office Technology group, you will design, develop, deploy, and maintain AI products used across the firm. You will work closely with software engineers, data engineers, and research scientists to deliver production-ready capabilities. You will contribute to secure, stable, and scalable systems while improving coding hygiene and system architecture. You will help the team deliver trusted, market-leading AI technology products through modern engineering practices.Job ResponsibilitiesCollaborate with data scientists and machine learning engineers to deliver AI products into productionDesign, develop, deploy, and maintain full stack AI applications and servicesBuild and maintain data pipelines for analytics, model evaluation, and training, including versioning, compliance, and validationCreate secure, high-quality production code and conduct code reviews and debugging for code written by othersTroubleshoot complex technical problems and implement creative software solutions beyond routine approachesMaintain algorithms and services that integrate with dependent systems reliably and efficientlyIdentify hidden problems and patterns in data to drive improvements to coding hygiene and system architectureProvide technical guidance and direction to support the business and partner technical teamsContribute to an agile team environment with a focus on secure and resilient deliveryPromote a team culture of diversity, opportunity, inclusion, and respectRequired Qualifications, Capabilities, and SkillsProficiency in Python and at least one additional modern programming language (for example Golang or TypeScript)Experience building and supporting production software in a large enterprise environmentExperience designing, developing, and maintaining APIs and backend services, including concurrency conceptsExperience creating secure, high-quality code, including reviewing and debugging code written by othersExperience with continuous integration and continuous delivery practicesExperience applying security and resiliency practices in software deliveryExperience building or supporting data pipelines for analytics, model evaluation, and training with appropriate controls (for example versioning and validation)Experience with large language model application patterns, including retrieval-augmented generation and prompt designPreferred Qualifications, Capabilities, and SkillsExperience delivering AI or machine learning products end to end, from development through deployment and ongoing supportExperience partnering closely with research scientists and data engineers to productionize models and workflowsApplied Innovation of AI is a machine learning team within the Chief Data and Analytics Office Technology group at JPMorganChase. The team tackles business-critical priorities using innovative machine learning techniques, with a focus on machine learning for software, cybersecurity, and technology infrastructure. The team partners across lines of business and engineering groups to deliver long-term initiatives that support firm growth.
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Full-stack Software Engineer I - AI Engineering in London employer: JPMorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in the heart of London’s International Private Bank. With a strong emphasis on professional development, employees benefit from comprehensive training programs and opportunities for career advancement, all while enjoying a collaborative culture that values teamwork and innovation. The role of Executive Assistant not only provides a chance to work closely with senior leaders but also allows for meaningful contributions to the success of the team in a prestigious financial institution.
