DescriptionIf you are looking for a game-changing career working for one of the worlds leading financial institutions youve come to the right place.
As a Principal Software Engineer at JPMorgan Chase within the Corporate Sector - AI/ML Data Platforms team you provide expertise and engineering excellence as an integral part of an agile team to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to promote best-in-class outcomes across various technologies to support one or more of the firms portfolios.
Job responsibilities:
- Build AI enabled consumer centric and business use-case products using LLMs RAG Agents
- Design develop software solutions 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.
- Develops innovative AI/ML solutions for the LLM Suite platform utilizing public cloud architecture and modern standards specifically with Azure AWS using both commercial and open source models
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
- Influences leaders and senior stakeholders across business product and technology teams
- Creates durable reusable software frameworks that are leveraged across teams and functions.
- Adds to team culture of diversity equity inclusion and respect.
Required qualifications capabilities and skills:
- Formal training or certification on software engineering and AI engineering concepts and 10 years applied experience
- Hands on experience of Large Language Model (LLM) techniques including Agents Planning Reasoning and other related methods.
- Hands-on experience delivering system design application development testing load testing scaling resiliency of AI Solutions
- Cloud native experience with AWS Azure
- Proficient in building scalable resilient secure systems with AI models and distribute compute technologies.
- Ability to present and effectively communicate with Senior Leaders and Executives
- In-depth experience with /Ranking Recommender systems RAG (Similarity Search) Agent systems and other advanced methodologies.
- Experience in Computer Science Computer Engineering Mathematics or a related technical field.
Preferred qualifications capabilities and skills
- Experience with JAX Ray MLFlow and/or other distributed training frameworks.
- Familiarity with NL 2SQL systems
- Experience with fine-tuning LLMs for specific usecases
Required Experience:
Staff IC