What are the responsibilities and job description for the Lead Data Software Engineer - AI/ML position at JPMorgan Chase?
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Full stack Data Software Engineer at JPMorganChase within the Corporate Sector, 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
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on Software Engineering and application development and 5 years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Proficiency in automation and continuous delivery methods
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
In-depth knowledge of the financial services industry and their IT systems
- Experience with frontend (React)
- Proficiency with backend development (Python or Java)
- In-depth knowledge of AWS
- Experience with oracle (databricks or public cloud)
Preferred qualifications, capabilities, and skills
Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience