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Lead Software Engineer
lead · Technology / Software Development
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the China LLM team, you will drive the build-out of a next-generation AI enablement platform for our China-based Corporate and Investment Bank (CIB) and Corporate staff. You will play a pivotal role in designing and developing lightweight UI and backend services that connect directly to global LLM endpoints, enabling selected global LLM capabilities for China users in a controlled and compliant manner.
You will work closely with product and technical teams to deliver targeted enablement models that address regulatory, entitlement, and cloud constraints. Your contributions will directly impact user experience, productivity, and market competitiveness for our colleagues in China, bridging the gap in AI capability and supporting the integration of global applications with increasing AI adoption.
You will own the full delivery lifecycle, from requirements gathering through design, development, testing, deployment, and support. The platform will leverage modern cloud infrastructure and APIs, with a focus on secure routing, policy enforcement, and scalable access controls. You will also evaluate and integrate new features and data connections as permitted, ensuring the solution evolves with business
Job responsibilities
- Lead the design and development of lightweight UI and backend services to enable LLM access for China users, utilizing Python, ReactJS, and Java.
- Architect and implement secure API integrations with global LLM Suite endpoints, ensuring compliance with local and global policies.
- Collaborate with product and technical teams to define requirements and deliver targeted enablement models.
- Develop and enforce China-specific controls for routing, policy, and access, balancing user experience with regulatory compliance.
- Evaluate feature availability and model access, working with OpenAI and internal teams to expand capabilities as permitted.
- Manage the end-to-end delivery lifecycle: requirements, design, development, testing, deployment, and ongoing support.
- Monitor and optimize platform performance, scalability, and security.
- Stay informed of peer institution progress and regulatory developments in China AI enablement.
- Demonstrate willingness to learn and adapt to the JPMorganChase ecosystem—including technology platforms, governance structures, and operational processes—to ensure seamless integration and compliance.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
- Strong proficiency in Python, ReactJS, and Java for backend and frontend development.
- Experience developing applications on the AWS platform.
- Experience with OpenAI APIs and enterprise AI integration.
- Excellent communication and stakeholder management skills
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Experience with LLMs, AI/ML platforms, or enterprise AI integration.
- Knowledge of China-specific regulatory and technology landscape.
- Background in financial services or enterprise platform development.
- Background knowledge of developing applications with Bedrock is preferred.
- AWS Solution Architect Associate certification is preferred.