Applied AI ML Senior Associate - LLM Suite Engineering

JPMorgan Chase & Co.
Charing Cross, United Kingdom
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Adobe InDesign
API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Database Queries
Software Debugging
Python
Machine Learning
NoSQL
Software Engineering
Large Language Models
Software Troubleshooting
FastAPI
Containerization
Information Technology
Production Code
Maintaining Code
Artificial Intelligence Markup Language (AIML)
Microservices

Job description

Help shape how intelligent systems are built and delivered at JPMorganChase. In this role, you'll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You'll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you'll fit right in., * Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges

  • Write secure, high-quality production code and maintain algorithms that integrate with existing systems
  • Collaborate with senior engineers and participate in design discussions
  • Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks
  • Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock
  • Collaborate openly with the team, seek feedback, and apply it to improve outcomes

Requirements

  • Computer science degree or equivalent practical experience
  • Hands-on experience with system design, application development, testing, and operational stability
  • Strong understanding of the Software Development Life Cycle

Preferred Qualifications, Capabilities, and Skills

  • Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock
  • Proficiency in Python (FastAPI)
  • Experience building microservices and APIs
  • Experience with elastic compute, NoSQL databases, and messaging queues
  • Proficiency working with large language models and building agents with LangGraph
  • Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization
  • Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

Apply for this position