Software Engineer III, AI Enablement

Job Description :

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 JPMorganChase within the AI / LLM Enablement team for both the Corporate and the Commercial and Investment Banking (CIB) team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for delivering critical technology solutions across multiple technical areas that enable compliant access to approved AI/LLM capabilities for colleagues in China, supporting the firm's business objectives.

Job Responsibilities

Executes software solutions, design, development, and technical troubleshooting to deliver UI and backend services enabling compliant LLM access for China users

Creates secure and high-quality production code and maintains services and APIs that integrate with approved global LLM endpoints and firm platforms

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 (e.g., secure routing, policy enforcement, access controls, observability) 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/logs/telemetry in service of continuous improvement of software applications and systems

Proactively identifies hidden problems and patterns in operational data and uses these insights to drive improvements to coding hygiene, resiliency, and system architecture

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience

Bachelor's degree in Computer Science or equivalent

Possess applied experience developing, debugging, and maintaining code in a large corporate environment with Python and ReactJS

Possess applied experience building and operating services on AWS (networking/security fundamentals, monitoring, incident response readiness)

Hands-on practical experience in system design, application development, testing, and operational stability

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

Overall knowledge of the Software Development Life Cycle

Solid understanding of agile methodologies such as CI/CD, application resiliency, and security

Preferred qualifications, capabilities, and skills

Hands-on experience integrating with LLM/AI APIs in an enterprise setting, including secure handling of inputs/outputs and access controls

Experience with LLM platforms and enterprise AI enablement patterns (policy enforcement, entitlement-based access, auditability)

Familiarity with China-specific regulatory and technology constraints relevant to AI enablement

Background in financial services and/or enterprise platform development

Experience with AWS Bedrock

AWS Solutions Architect - Associate certification