Lead Software Engineer - LLM Suite Engineering - VP

JPMorgan Chase & Co.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer for the LLM Suite Engineering team to design and deliver production-grade AI/ML and agentic solutions that integrate with existing systems.

You will own technical direction across architecture, implementation, and operational stability, with a focus on secure, high-quality software. Collaborate across engineering to raise standards, reliability, and scalability in a cloud-first environment.

Qualifications

• Computer science degree or equivalent practical experience.
• Hands-on experience with system design, application development, testing, and operational stability.
• Proficiency in Python (FastAPI).
• Experience building microservices and APIs.
• Experience with elastic compute, NoSQL databases, and messaging queues.
• Strong understanding of the Software Development Life Cycle.
• Solid grasp of CI/CD, application resiliency, and security.

Responsibilities

• Design and troubleshoot software solutions to solve complex technical challenges.
• Write secure, high-quality production code and integrate with existing systems.
• Create architecture and design artifacts for complex applications.
• Build AI/ML solutions and agentic systems for the LLM Suite using cloud architecture.
• Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock.
• Identify hidden problems and patterns in data to improve coding standards and architecture.
• Participate in software engineering communities of practice and events focused on emerging technologies.

Skills

Python (FastAPI)

Microservices

APIs

NoSQL databases

Messaging queues

Software Development Life Cycle

CI/CD

Security

GenAI services

Azure OpenAI

AWS Bedrock

LangGraph

Containerization

A2A communication

Model Context Protocol

Agentic orchestration

Education

Bachelor's degree in Computer Science or equivalent

Tools

LangGraph

Azure OpenAI

AWS Bedrock

Azure, AWS cloud

Containerization

Job description

You will lead hands-on engineering efforts to build and enhance the agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you’ll thrive here. Join a team that values craft, security, and learning.

As a Lead Software Engineer - LLM Suite Engineering at JPMorganChase, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events.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.

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
• Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery
• 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
• Identify hidden problems and patterns in data proactively to improve coding standards and system architecture
• Participate in software engineering communities of practice and events focused on emerging technologies

Required Qualifications, Capabilities, and Skills

• Computer science degree or equivalent practical experience
• Hands-on experience with system design, application development, testing, and operational stability
• Proficiency in Python (FastAPI)
• Experience building microservices and APIs
• Experience with elastic compute, NoSQL databases, and messaging queues
• Strong understanding of the Software Development Life Cycle
• Solid grasp of CI/CD, application resiliency, and security

Preferred Qualifications, Capabilities, and Skills

• Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock
• 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
• Experience with containerization
• Knowledge of agent-to-agent (A2A) communication concepts
• Familiarity with Model Context Protocol (MCP)
• Experience with agentic orchestrators, personal AI assistants, or AI skills development

About the Team

The LLM Suite Engineering team builds and operates JPMorganChase’s enterprise generative AI platform, enabling teams across the firm to develop, deploy, and scale AI-powered solutions safely and efficiently. The team delivers core platform capabilities such as reusable assistants and workflow automation, secure connections to enterprise knowledge and structured data sources, and model integrations supported by continuous quality benchmarking. Its work is deeply cross-functional, partnering with product, engineering, and control functions to embed security, privacy, access controls, and risk/compliance requirements into the platform by design, while continuously shipping new capabilities that improve reliability, usability, and business impact at global scale.

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