Lead AI & ML Engineer: Build Production-Grade LLM Agents

JPMorgan Chase & Co.; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead AI and ML Engineer to design, productionize, and operate LLM-powered agentic solutions on NEO. You will implement Graph RAG, create robust retrieval systems, and ensure secure, auditable AI deployments across CIB and Payments.

You will collaborate with business, product, data science, and engineering teams to expand the portfolio of production agents with strong SDLC, security, and observability practices.

Qualifications

• MS or equivalent experience in a relevant field
• Hands-on experience building production ML/LLM solutions
• Strong Python, data structures, algorithms, ML basics
• Kubernetes in production environments
• Experience with Databricks and SageMaker
• Experience with MLFlow and RAG retrieval
• Knowledge of AWS/Azure/Kubernetes
• Data management and real-time processing capabilities

Responsibilities

• Design and ship production agents on NEO from prototype to production
• Build robust retrieval systems using Graph RAG and vector stores
• Design agent memory including episodic and semantic memory
• Manage context and security for agent reasoning
• Compose multi-agent workflows using A2A and MCP integrations
• Develop ML training pipelines and MLOps best practices
• Deploy and operate solutions on AWS/Azure with strong SDLC and observability
• Collaborate with product/business teams to ship supported agents
• Develop batch and online inference for ML models

Skills

Python programming

Kubernetes (AWS EKS)

Databricks

SageMaker

MLFlow

Graph RAG

LLM-powered apps

NLP/AI engineering

.communication

Education

MS in CS/Stats/Math/ML or equivalent

Tools

Databricks

SageMaker

MLFlow

Kubernetes (AWS EKS)

Postgres

OpenSearch/Redis

Job description

JPMorgan Chase & Co. is seeking a Lead AI and ML Engineer to design, productionize, and operate LLM-powered agentic solutions on NEO. You will implement Graph RAG, create robust retrieval systems, and ensure secure, auditable AI deployments across CIB and Payments.

You will collaborate with business, product, data science, and engineering teams to expand the portfolio of production agents with strong SDLC, security, and observability practices.