At a Glance
- Tasks: Design and develop AI/ML solutions for the LLM Suite platform using Azure and AWS.
- Company: Join JPMorgan Chase, a leader in financial services and technology innovation.
- Benefits: Enjoy a diverse workplace with a strong commitment to inclusion and equal opportunity.
- Other info: Experience with GenAI services and large language models is preferred.
- Why this job: Contribute to cutting-edge AI/ML capabilities in a collaborative environment.
- Qualifications: Requires a computer science degree and hands-on experience in AI/ML.
The predicted salary is between 60000 - 80000 £ per year.
Help shape how intelligent systems are built and delivered at JPMorgan Chase. 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.
Responsibilities
- 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.
- Explore system design, application development, testing, and operational stability.
- Have a strong understanding of the Software Development Life Cycle.
Required Qualifications
- Computer science degree or equivalent practical experience.
- Hands‑on experience.
Preferred Qualifications
- 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.
Applied AI ML Engineer - LLM Suite Engineering - Senior Associate in City of Westminster employer: Jpmorgan Chase & Co.
JPMorgan Chase offers a dynamic work environment in New York City, focusing on innovative financial solutions. The team values diversity and provides reasonable accommodations for all employees, ensuring an inclusive workplace culture.
