Software Engineer III - Python AWS

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 tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. Your responsibilities include executing software solutions, design, development, and technical troubleshooting with the ability to think beyond routine approaches, creating secure and high-quality production code, maintaining algorithms that integrate seamlessly with generative AI systems, and producing architecture and design artifacts for complex generative AI applications. Key Responsibilities: - Execute software solutions, design, development, and technical troubleshooting with innovative approaches - Create secure and high-quality production code, integrating algorithms with generative AI systems - Produce architecture and design artifacts for complex generative AI applications - Gather, analyze, synthesize, and develop visualizations and reporting from diverse data sets - Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture - Contribute to software engineering communities of practice and explore new generative AI technologies Qualifications Required: - Formal training or certification in software engineering concepts with 3+ years of applied experience - Proficiency in coding in languages such as 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 like CI/CD, Application Resiliency, and Security, especially in AI/ML context - Demonstrated knowledge of software applications, technical processes, cloud computing, artificial intelligence, machine learning, and mobile technologies - Expertise in AWS and GenAI/ML technologies, Agentic AI Development Additional Details: The company also values individuals with preferred qualifications, capabilities, and skills such as experience with AI model optimization and performance tuning, familiarity with data engineering practices to support AI model training and deployment, ability to collaborate with cross-functional teams, and a strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.,