What are the responsibilities and job description for the Lead Software Engineer Java, Python, AIML position at JPMorgan Chase?
As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, Corp Oversight and Governance Tech team, 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
- Deliver AI/ML projects through the full machine learning development life cycle using Agile methodology.
- Translate business requirements into AI/ML specifications, define milestones, and ensure timely delivery.
- Design, develop, and troubleshoot AI/ML solutions, applying creative problem-solving to technical challenges.
- Write secure, high-quality production Python code and maintain algorithms for integration with enterprise systems.
- Produce architecture and design artifacts for complex AI/ML applications.
- Analyze and visualize large, diverse data sets to drive continuous improvement of software applications and systems.
- Identify patterns and insights in data to improve coding hygiene and system architecture.
- Contribute to software engineering communities of practice and explore new and emerging AI/ML technologies.
Required Qualifications, Capabilities, and Skills
- Formal training or certification in Software Engineering concepts and 5 years of applied experience.
- Proficient in Python programming language.
- Hands-on experience developing production AI/ML solutions.
- Familiarity with agentic workflows and relevant frameworks (e.g., LangChain, LangGraph, CrewAI, Auto-GPT).
- Familiarity with Large Language Models, Retrieval-Augmented Generation (RAG), Vector Store, and Model Context Protocol (MCP).
- Demonstrated understanding of machine learning frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, NumPy.
- Solid understanding of the Software Development Life Cycle, CI/CD, application resiliency, and security.
Preferred Qualifications, Capabilities, and Skills
- Experience with relational and/or NoSQL databases for data storage and retrieval in AI/ML projects.
- Experience designing and building enterprise-scale, high-volume data processing applications.
- Knowledge of RESTful Web Services and JSON for integrating AI/ML solutions.
- Agile development experience with SCRUM or similar methodologies.
- Experience with artificial intelligence and machine learning tools and frameworks in development.