Join us as we transform digital banking and redefine what’s possible for our customers. You’ll have the opportunity to shape the future of financial services, working with cutting-edge technology and a diverse, collaborative team. At JPMorganChase, your curiosity and passion for technology will help us deliver secure, intelligent banking solutions. We value your ideas and empower you to make a real impact. Discover career growth and mobility while building the bank of the future.

 

Job Summary:
As a Lead Software Engineer at JPMorgan Chase within the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that promote innovation and deliver outstanding banking experiences. You will collaborate with data scientists, product managers, and engineering teams to translate business initiatives into robust, customer-focused systems. Your work will enable us to leverage foundational AI and machine learning models to enhance our services. You will be part of a diverse, inclusive, and geographically distributed team, focused on delivering secure and intelligent banking.

 

Job Responsibilities:

Deliver end-to-end cloud-native microservices and data pipelines using modern technologies and best practicesStructure software for clarity, testability, and ease of evolutionBuild scalable solutions that avoid single points of failureDevelop secure code to protect customers and the organizationInvestigate and resolve issues promptly to prevent recurrenceEnsure zero-downtime releases for end-usersMonitor model and system performance, identifying and solving problems effectivelyBuild reliable, easy-to-operate systemsContinuously update and upgrade technologies and patternsMaintain and improve deployed AI/ML models and microservices throughout the software development lifecycle, including production and incident managementEnsure compliance and security in AI/ML solution deployment and operation

 

Required Qualifications, Capabilities, and Skills:

Formal training or certification on software engineering concepts and proficient advanced experience.Recent hands-on experience as a back-end software engineer, especially with customer-facing, LLM-powered microservicesProficiency in Java and Python programming languagesExperience designing and implementing effective tests (unit, component, integration, end-to-end, performance)Excellent written and verbal communication skills in EnglishFamiliarity with advanced AI/ML concepts and protocols, such as Retrieval-Augmented Generation, agentic system architectures, and Model Context ProtocolStrong interest in building generative AI applications and toolingExperience with cloud technologies, distributed systems, RESTful APIs, and web technologiesUnderstanding of event-based architecture, data streaming, and messaging frameworksProficiency in operating, supporting, and securing mission-critical software applicationsUnderstanding of various data stores (relational, non-relational, vector)Ability to mentor team members on coding practices, design principles, and implementation patternsAbility to manage stakeholders and prioritize deliverables across multiple work streams

 

Preferred Qualifications, Capabilities, and Skills:

Background in STEM with exposure to productionising machine learning systemsExperience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Databricks, BentoML, Arize)Proficiency in cloud-native microservices architectureHands-on experience with Amazon Web Services (AWS)Previous experience as a Platform engineerExperience working in highly regulated environments or industries

 

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