
at J.P. Morgan
Bulge Bracket Investment BanksPosted 7 days ago
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**Applied AI ML Lead - LLM Suite Engineering** at JPMorganChase spearheads AI/ML and agentic capabilities, powering the LLM Suite platform. Lead the design and delivery of production-grade AI/ML and agentic solutions, integrating seamlessly with existing systems. Key responsibilities include architecture ownership, system design, software development, and ensuring operational stability. This role demands hands-on technical problem-solving and collaboration with talented engineering teams. Leverage cloud services (Azure, AWS), agentic frameworks, and Python/FastAPI for building microservices and APIs. Ideally suited for experienced professionals with a computer science background, a strong grasp of the software development lifecycle, and proficiency in CI/CD, resiliency, and security. Familiarity with generative AI services, large language models, and containerizationbonus. Thrive in an innovative environment that values craft, security, and learning.
- Compensation
- Not specified GBP
- City
- London
- Country
- United Kingdom
Currency: £ (GBP)
Full Job Description
Location: LONDON, LONDON, United Kingdom
Build whats next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. Youll 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, youll 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.
Job Responsibilities
Required Qualifications, Capabilities, and Skills
Preferred Qualifications, Capabilities, and Skills
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