Software Engineer III - AI/ML Platform Engineer

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Corporate AI/ML Data Platforms team, you will build a set of products that covers MLOps, ModelOps, AgentOps, ML data development (e.g. processing, data annotation) for firm wide ML practitioners. These capabilities are critical to the new enterprise scaled ML ecosystem in JPMC. You will be working with our highly skilled system architects, engineers, product managers, data scientists, researchers and colleagues across all lines of businesses and functions.

Job responsibilities
 

• Works on several new systems including model repository/registry, feature registry, automatic model promotion policy engine, model & GenAI governance tools, data annotation, data preparation and lineage to help accelerate AI/ML in JPMC with the best user experience and sound governance.
• Develop new products leveraging cloud technologies and microservices architecture patterns, identify new open-source libraries, using unfamiliar technologies and learning new programming languages to meet technical requirements.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience 
• Experience in modern architecture patterns (e.g. microservices, reactive architectures, event-driven architectures)
• Programming experience in at least 2 modern programming languages/frameworks such as JavaScript, React, Node.js, Java, Kotlin, Python, Pandas, TensorFlow, Go
• Experience in writing and utilizing RESTful API services and performance tuning large-scale applications
• Experience with cloud providers (e.g. AWS, Azure, GCP) and containerization (e.g. Docker, Kubernetes)
• Experience with relational and non-relational databases (e.g. PostgreSQL, MongoDB, CouchDB, Redis, Elasticsearch, Cassandra, etc.)
• Experience in engineering practices such as code refactoring, design patterns, design-driven development, TDD, CI/CD, building highly scalable applications, application security
• Experience with Agile development methodologies and working knowledge of DevOps principles
• Ability to communicate complex ideas effectively and interact with people at all levels in an organization
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
   

Preferred qualifications, capabilities, and skills

• Experience working with HTML/ CSS and at least 1 modern JavaScript framework such as React.js, Vue.js, Hapi.js, Ember.js, Angular.js
• Exposure to cloud technologies - AWS
• Experience/Knowledge of model governance, data governance