Lead Software Engineer - LLM Suite Engineering - VP

JPMorgan Chase & Co.; City of Westminster; On-site; GBP 85,000 - 110,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer for the LLM Suite Engineering team in the UK.

You will own technical direction across architecture, implementation, and production stability, focusing on secure, scalable software and seamless integration with existing systems. Responsibilities include designing AI/ML and agentic solutions, building with Azure/AWS, and leading hands-on engineering to advance the enterprise GenAI platform.

Qualifications

• Degree in CS or equivalent practical experience.
• Hands-on design, development, testing, and ops stability.
• Experience building GenAI services with cloud providers (Azure/AWS).
• Proficiency with Python and modern microservice architectures.

Responsibilities

• Design, develop, and troubleshoot AI/ML and agentic solutions.
• Write secure, production-grade code and maintain integration with existing systems.
• Create architecture artifacts and ensure delivery constraints are met.
• Lead hands-on engineering to build agentic and GenAI capabilities for the LLM Suite platform.

Skills

GenAI expertise

Agentic systems

Cloud architecture

Security best practices

Software design & architecture

Education

Computer science degree or equivalent

Tools

Python (FastAPI)

Microservices

Azure OpenAI

AWS Bedrock

LangGraph

Containerization

NoSQL databases

Messaging queues

CI/CD

Job description

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.,

• 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
• 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., 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
• 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.

#LLMSuiteEngineering_jobs

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.