Job
Description
As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Wealth Management, you will be a seasoned member of an agile team responsible for designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Your role will involve implementing critical technology solutions across multiple technical domains to support various business functions and achieve the firm's business objectives. - Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine approaches - Creates secure and high-quality production code that integrates seamlessly with generative AI systems - Produces architecture and design artifacts for complex generative AI applications - Gathers, analyzes, synthesizes, and develops visualizations and reporting from diverse data sets - Identifies hidden problems and patterns in data to drive improvements in coding hygiene and system architecture - Contributes to software engineering communities of practice and explores new generative AI technologies Required qualifications, capabilities, and skills: - Formal training or certification in software engineering concepts with 3+ years of applied experience - Proficiency in coding in one or more languages, with a strong emphasis on Python and AI/ML frameworks - Experience in developing, debugging, and maintaining code in a large corporate environment - Comprehensive knowledge of the Software Development Life Cycle, focusing on generative AI applications - Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security in AI/ML context - Demonstrated knowledge of software applications and technical processes in cloud computing, artificial intelligence, machine learning, and mobile technologies - Expertise in AWS and GenAI/ML technologies, Agentic AI Development Preferred qualifications, capabilities, and skills: - Experience with AI model optimization and performance tuning for efficient and scalable AI solutions - Familiarity with data engineering practices to support AI model training and deployment - Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications - Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Wealth Management, you will be a seasoned member of an agile team responsible for designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Your role will involve implementing critical technology solutions across multiple technical domains to support various business functions and achieve the firm's business objectives. - Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine approaches - Creates secure and high-quality production code that integrates seamlessly with generative AI systems - Produces architecture and design artifacts for complex generative AI applications - Gathers, analyzes, synthesizes, and develops visualizations and reporting from diverse data sets - Identifies hidden problems and patterns in data to drive improvements in coding hygiene and system architecture - Contributes to software engineering communities of practice and explores new generative AI technologies Required qualifications, capabilities, and skills: - Formal training or certification in software engineering concepts with 3+ years of applied experience - Proficiency in coding in one or more languages, with a strong emphasis on Python and AI/ML frameworks - Experience in developing, debugging, and maintaining code in a large corporate environment - Comprehensive knowledge of the Software Development Life Cycle, focusing on generative AI applications - Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security in AI/ML context - Demonstrated knowledge of software applications and technical processes in cloud computing, artificial intelligence, machine learning, and mobile technologies - Expertise in AWS and GenAI/ML technologies, Agentic AI Development Preferred qualifications, capabilities, and skills: - Experience with AI model optimization and performance tuning for efficient and scalable AI solutions - Familiarity with data engineering practices to support AI model training and deployment - Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications - Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning
