Join us as we transform digital banking and create intuitive, enjoyable customer journeys. You’ll have the opportunity to make a meaningful impact while working with innovative 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 grow your career. Be part of building the bank of the future.

Job Summary:
As a Software Engineer III at JPMorgan Chase within the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that promote innovation and enhance the banking experience. 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 deliver secure, intelligent services. You will be part of a diverse, inclusive, and geographically distributed team focused on delivering real value to our customers.

Job Responsibilities:

Contribute to 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 applied experience.Recent hands-on experience as a back-end software engineerProficiency 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 technologies

Preferred Qualifications, Capabilities, and Skills:

Background in STEM with exposure to machine learning systemsExperience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Databricks, BentoML, Arize)Hands-on experience with cloud computing platforms like AWS, Azure, or GCPExperience working in highly regulated environments or industries

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