Lead Software Engineer - AI/ML, LLM

Company: JPMorganChase
Location: Houston
Posted on: April 1, 2026

Job Description:

Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Corporate Technology, 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 Design and develop creative software solutions, using innovative approaches to solve complex technical issues. Lead the creation and implementation of automation frameworks and AI-driven solutions to enhance business processes. Develop strategies for performance testing and automation to improve software quality and delivery speed. Establish and promote best practices in performance testing and automation throughout the organization. Write secure, high-quality production code and review/debug code from other team members. Help create and maintain Non-Functional test suites. Analyze test results, document testing activities, and track software defects. Identify and automate solutions for recurring issues to improve system stability. Communicate project status clearly and manage priorities when handling multiple tasks. Collaborate within a Scrum team, participate in Agile activities, and support a culture of diversity, equity, and inclusion. Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering, with 10 years of experience. Strong system design, application development, and operational stability skills. Advanced proficiency in programming languages (Java, Python, C#, etc.) Hands-on work with Large Language Models (LLMs), Generative AI and Agentic AI. Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face). Experience with distributed systems and cloud platforms (AWS, Databricks, Snowflake). Expertise in microservices, RESTful APIs, and database technologies (relational/NoSQL). Familiarity with containerization tools (Docker, Kubernetes, Helm). Experience with performance testing tools (JMeter, Blazemeter) and Gremlin Testing. Skilled in development and testing tools (JUnit, Groovy, Postman, REST Assured, Eclipse, Maven, Jenkins, IntelliJ). Effective communication across teams and management, with a proactive approach to process improvement. Preferred Qualifications, Capabilities, and Skills Cloud certification (AWS, GCP, Azure). Practical cloud-native development experience. In-depth knowledge of the financial services industry and their IT systems. Experience in creating and executing performance and chaos test scripts. Experience in or understanding of A/B Testing, Gremlin Testing, Engineering principles.

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