Lead Software Engineer - Java & AI
Salary not listed • Plano, TX, United States • Full-time
Posted 29d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Job Location
Plano, TX, United States
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
LLM Engineer
About the job
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 Consumer & Community Banking, 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.
Responsibilities
- Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond conventional approaches.
- Develop secure, high-quality production code and review code written by others.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
- Establish consistent validation standards for AI outputs, including secure coding, peer review, and automated testing.
- Promote reuse of effective AI patterns across the team.
- Apply knowledge of Software Development Life Cycle tools, including AI-assisted development and automation capabilities.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability.
- Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical credentials.
- Lead communities of practice across Software Engineering to drive awareness and use of new technologies.
Requirements
- Formal training or certification on software engineering concepts and 5+ years of applied experience.
- Demonstrated experience leading effective use of approved AI-assisted software development tools.
- Ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
- Adherence to resiliency and security expectations for AI adoption.
- Experience coaching engineers on safe, compliant AI adoption.
- Advanced proficiency in programming languages (Java, Python, C#).
- Hands-on work with Large Language Models (LLMs) and generative AI.
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face).
- Experience with distributed systems and cloud platforms (AWS, GCP, Azure).
- 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 Chaos Monkey Testing.
- Skilled in development and testing tools and frameworks (JUnit, UDF, Tophat, Cucumber, Groovy, Postman, REST Assured, Eclipse, Maven, Jenkins, IntelliJ).