Build, deploy, and maintain full-stack AI applications, services, and data pipelines for enterprise use. Collaborate with data scientists, machine learning engineers, research scientists, and technical teams to productionize AI products. Develop secure, scalable, resilient software; maintain APIs and backend services; conduct code reviews; troubleshoot complex issues; apply CI/CD and software security practices; and support LLM applications using retrieval-augmented generation and prompt design.
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 Responsibilities
- Collaborate with data scientists and machine learning engineers to deliver AI products into production
- Design, develop, deploy, and maintain full stack AI applications and services
- Build and maintain data pipelines for analytics, model evaluation, and training, including versioning, compliance, and validation
- Create secure, high-quality production code and conduct code reviews and debugging for code written by others
- Troubleshoot complex technical problems and implement creative software solutions beyond routine approaches
- Maintain algorithms and services that integrate with dependent systems reliably and efficiently
- Identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture
- Provide technical guidance and direction to support the business and partner technical teams
- Contribute to an agile team environment with a focus on secure and resilient delivery
- Promote a team culture of diversity, opportunity, inclusion, and respect
Required Qualifications, Capabilities, and Skills
- Proficiency 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 environment
- Experience designing, developing, and maintaining APIs and backend services, including concurrency concepts
- Experience creating secure, high-quality code, including reviewing and debugging code written by others
- Experience with continuous integration and continuous delivery practices
- Experience applying security and resiliency practices in software delivery
- Experience 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 design
Preferred Qualifications, Capabilities, and Skills
- Experience delivering AI or machine learning products end to end, from development through deployment and ongoing support
- Experience partnering closely with research scientists and data engineers to productionize models and workflows
Applied 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.
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Lead strategy, roadmap, customer experience, commercial model, and go-to-market for Cloudflare’s certificate authority business. Define ACME-first certificate lifecycle products, partner with engineering on reliable and secure infrastructure, and coordinate with compliance, legal, security, operations, sales, and marketing. Drive customer discovery, ecosystem trust, pricing, adoption, and launch planning while addressing WebPKI requirements, audits, incident response, and emerging technologies such as post-quantum certificates.
Top Skills:
AcmeAws Certificate ManagerAws Private CaCa/Browser Forum Baseline RequirementsCertificate TransparencyCfsslCli WorkflowsDigicertEntrustGoogle Trust ServicesHashicorp Vault PkiHsmsInfrastructure-As-CodeKubernetesLet'S EncryptMerkle Tree CertificatesMicrosoft PkiMtlsPkiPost-Quantum CryptographySdksSectigoStep-CaTlsWebtrustX.509
.png)
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Own enterprise sales across prospecting, pipeline creation, executive discovery, competitive deal execution, forecasting, closing, expansion, and renewals. Sell Klaviyo’s multi-product platform to large organizations, engaging C-level stakeholders and coordinating solutions engineering, partners, marketing, legal, security, procurement, and customer decision-makers. The role requires building business cases, managing complex nine- to eighteen-month sales cycles, and achieving multi-million-dollar quotas.
Top Skills:
Ai ToolsConversation Intelligence ToolsCRMCustomer Data PlatformsEcommerce PlatformsMarketing Technology PlatformsMeddpicc
Fintech • Mobile • Payments • Software • Financial Services
Own the technical roadmap and delivery of large-scale backend systems for Wise’s global KYC and onboarding platform. Design scalable microservices, APIs, asynchronous integrations, and database architectures while improving reliability, security, compliance, and automation. Lead complex cross-team initiatives, solve ambiguous problems, mentor engineers, and deliver customer-focused verification solutions.
Top Skills:
Artificial IntelligenceKafkaMachine LearningMicroservicesNosql DatabasesRabbitMQRelational Databases
What you need to know about the Bristol Tech Scene
Along with Gloucester, Swindon and Bath, Bristol is part of the "Silicon Gorge" tech hub, a region in the U.K. renowned for its high-tech and research-driven industries, with a particular emphasis on sustainability and reducing environmental impact. As the European Green Capital, Bristol is home to 25,000 cleantech companies, including Baker Hughes and unicorn Ovo Energy. The city has committed to achieving net-zero emissions within the next decade.
