JPMorgan Business Management – Internal Audit & Finance Associate 

United States, New Jersey, Jersey City 

87935912

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 onsoftware engineering and AI engineeringconcepts 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