Applied AI ML Lead Engineer - LLM Suite Engineering

JPMorganChase; Greater London; On-site; GBP 75,000 - 100,000; Full time

Job summary

JPMorganChase seeks an Applied AI ML Lead to drive engineering for agentic and GenAI capabilities within the LLM Suite. You will design production-grade solutions, enhance architecture, and collaborate with engineers for operational stability. Candidates should hold a degree in Computer Science or equivalent, with expertise in Python, system design, and cloud architecture (Azure, AWS). This role offers a unique opportunity to engage with emerging technologies in an inclusive environment.

Qualifications

• Hands-on experience with system design, application development, testing, and operational stability.
• Proficiency in building AI/ML and agentic solutions.
• Strong understanding of the Software Development Life Cycle.

Responsibilities

• Design, develop, and troubleshoot software solutions to solve complex technical challenges.
• Write secure, high-quality production code and maintain algorithms.
• Build AI/ML solutions for the LLM Suite platform using public cloud architecture.

Skills

Python (FastAPI)

Microservices and APIs

Elastic compute

NoSQL databases

Messaging queues

CI/CD

Application resiliency

Security

Education

Computer science degree or equivalent practical experience

Tools

Azure

AWS

Job description

Job Overview

Build what’s next in applied AI at JPMorganChase – where your work shapes how teams use intelligent systems at scale. You’ll lead hands‑on engineering for 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 an Applied AI ML Lead in LLM Suite Engineering, 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.

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.

Equal Opportunity Employment Statement

We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.