Lead Software Engineer - AIML/Python

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.

As a Lead Software Engineer at JPMorgan Chase within Corporate -AI/ML Data Platforms team, you are an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. In this role 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. In this role your primary clients will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE)

Job responsibilities

• Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps.
• Develops and writes software applications for AI/ML platforms as well as 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.
• 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 (cross-team) 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.
• Mentors and drives best practices across the team, which includes junior engineers, researchers and data scientists as they prototype solutions.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years 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.
• Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods.
• 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.).

Preferred qualifications, capabilities, and skills

• Proficient in utilizing AI tools to enhance productivity and efficiency in daily tasks.
• Self-motivated and proactive, with a strong ability to identify issues and challenge the status quo.
• Demonstrates initiative in learning and adapting to new technologies and methodologies.
• Excellent communication and collaboration skills to work effectively within cross-functional teams.