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
Skills Required
- Formal training or certification in software engineering concepts
- 3+ years of applied software engineering experience
- Bachelor's degree in Computer Science or equivalent
- Experience developing, debugging, and maintaining code in a large corporate environment using Python and ReactJS
- Experience building and operating services on AWS, including networking, security, monitoring, and incident response readiness
- Practical experience in system design, application development, testing, and operational stability
- Understanding of responsible AI use in engineering workflows, data sensitivity, secure input/output handling, resiliency, and security expectations
- Overall knowledge of the Software Development Life Cycle
- Understanding of agile methodologies, CI/CD, application resiliency, and security
- Experience integrating enterprise LLM or AI APIs with secure input/output handling and access controls
- Experience with LLM platforms and enterprise AI enablement patterns such as policy enforcement, entitlement-based access, and auditability
- Familiarity with China-specific regulatory and technology constraints relevant to AI enablement
- Background in financial services or enterprise platform development
- Experience with AWS Bedrock
- AWS Solutions Architect Associate certification
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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