Software Engineer III, AI Enablement

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