GenAI & LLM Systems Lead - Production AI Architect

JPMorganChase
Greater London, UK
1 day ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Engineering Python (Programming Language) Large Language Models Generative AI Information Technology Artificial Intelligence Markup Language (AIML)

Job description

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.

Requirements

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. #J-18808-Ljbffr

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · World Congress 2025

1:06 min

Outline of free tools for Microsoft Azure

Radu Vunvulea Radu Vunvulea · World Congress 2022

1:23 min

Closing thoughts and educational resources for edge network engineering

Austin Gil · LIVE

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

2:14 min

Introduction to generative AI and content warnings

Cheuk Ho · World Congress 2023

3:07 min

Enterprise challenges in compliance and generative AI operations

Daniel Tao +3 · World Congress 2024

Videos

See all

Related articles

See all