Bulge Bracket Investment Banks

Posted 7 days ago

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**Applied AI ML Senior Associate – LLM Suite Engineering**: Lead AI/ML and agentic solutions for JPMorgan Chase's LLM Suite platform. Design, build, and troubleshoot secure, reliable software. Collaborate with senior engineers to integrate AI/ML services using Azure, AWS, and modern frameworks. Apply your software development lifecycle experience to deliver scalable, production-ready capabilities. Preferred: proficiency in Python, FastAPI, experience with GenAI services, and knowledge of agent-to-agent communication protocols.

Compensation: Not specified GBP
City: London
Country: United Kingdom

Full Job Description

Location: LONDON, LONDON, United Kingdom

Help shape how intelligent systems are built and delivered at JPMorganChase. In this role, youll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. Youll 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, youll fit right in.

As an Applied AI ML Senior Associate in LLM Suite Engineering, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks and applies feedback.

Job 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

Required Qualifications, Capabilities, and Skills

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

Build and support production AI solutions and agentic services that scale within our LLM Suite.

Full Job Description

Location: LONDON, LONDON, United Kingdom

Job 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

Required Qualifications, Capabilities, and Skills

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

Build and support production AI solutions and agentic services that scale within our LLM Suite.

Applied AI ML Senior Associate – LLM Suite Engineering

Full Job Description

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Full Job Description

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