Description Revolutionize technology application in real-world scenarios, promoting impactful change and innovation. As a Software Engineer III at JPMorgan Chase within the AI/ML Data Platforms business, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Develops and writes software applications for AI/ML platforms and building Generative AI based applications including Agents. Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges. Develops secure high-quality production code, and reviews and debugs code written by others Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, Opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts with applied experience. Practical experience in Infrastructure as Code development, ideally using Terraform. Hands-on practical experience in system design, application development, testing, and ensuring operational stability. Advanced proficiency in one or more programming languages, with a strong focus on Python or Java Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC). Deep understanding of agile methodologies and basic proficiency in architectural frameworks. Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). In-depth knowledge of the financial services industry and their IT systems. Preferred qualifications, capabilities, and skills Proficient in utilizing AI tools to enhance productivity and efficiency in daily tasks. Familiarity with architecture design frameworks Self-motivated and proactive, with a strong ability to identify issues and challenge the status quo. Knowledge in automation and continuous integration, delivery, and testing (CI/CD/CT) methods. Knowledge in Gen AI application development Demonstrates initiative in learning and adapting to new technologies and methodologies. Proven problem-solving skills with a focus on innovation and continuous improvement. Excellent communication and collaboration skills to work effectively within cross-functional teams.