Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer II at JPMorgan Chase within the Enterprise Technology, AI/ML & Data Platforms division, you will play a crucial role in an agile team, leveraging your expertise to design and deliver secure, stable, and scalable technology products. Your responsibilities will include developing, implementing, and maintaining standards and best practices for AI systems throughout the organization. Furthermore, you will implement key technology solutions across various technical domains and business functions, ensuring alignment with the company's strategic goals. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems 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 Contributes to software engineering communities of practice and events that explore new and emerging technologies Collaborate with cross-functional teams to develop and implement AI governance standards and policies. Conduct research and analysis on current AI governance frameworks and industry best practices. Required qualifications, capabilities, and skills Formal training or certification on system design concepts and expanding applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages in Python Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience in AWS Experience in developing and implementing governance frameworks for AI systems. Familiarity with international AI regulations and standards. Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies