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 JPMorgan Chase within the Consumer & community Banking- Data 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
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability 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
- Enable the Gen AI platform and implement the Gen AI Use cases ,LLM fine tuning and multi agent orchestration
- Communicate technical concepts and solutions effectively across all levels of the organization.
- Lead the design and development of our AI/ML platform, ensuring robustness, scalability, and high performance.
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Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Extensive practical experience with Python, AWS cloud services, including EKS, EMR, ECS, and DynamoDB.
- Experience in DataBricks ML lifecycle development.
- Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance.
- Demonstrated prior experience in leading complex projects, including system design, testing, and ensuring operational stability.
- Expertise in computer science, computer engineering, mathematics, or a related technical field.
- Understanding of large language model (LLM) approaches, such as Retrieval-Augmented Generation (RAG)
- Real-time model serving experience with Seldon, Ray,