Senior Lead AI/ML Platform Engineer

JPMorgan Chase; Seattle (WA); On-site; USD 176,000 - 260,000; Full time

Job summary

JPMorgan Chase is seeking a Senior Lead Software Engineer- AI/ML Platform to design, build, and operate the foundational cloud infrastructure enabling data scientists and ML engineers to develop, train, and deploy intelligent solutions across the firm.

You will lead platform reliability, scalability, and automation while collaborating with cross-functional teams to tackle complex infrastructure challenges. This role accelerates AI/ML capabilities and production-grade deployments.

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years of applied software engineering experience.
• Experience delivering secure, production-quality code in Python or Java.
• Strong foundations in distributed systems and platform architecture/design.

Responsibilities

• Builds and maintains reusable AI/ML platform infrastructure and shared services.
• Architects and operates cloud-native environments for training and inference, including GPU workloads.
• Designs automation and IaC solutions to streamline deployment, provisioning, and release management.
• Develops production-grade services, APIs, and workflows for model training and serving pipelines.
• Partners with data science and ML teams to translate requirements into platform standards.

Skills

Python

Java

Distributed systems

Cloud architecture

Go

Education

Formal training or certification in software engineering

Tools

Terraform

Docker

Kubernetes

AWS EKS

Job description

JPMorgan Chase is seeking a Senior Lead Software Engineer- AI/ML Platform to design, build, and operate the foundational cloud infrastructure enabling data scientists and ML engineers to develop, train, and deploy intelligent solutions across the firm.

You will lead platform reliability, scalability, and automation while collaborating with cross-functional teams to tackle complex infrastructure challenges. This role accelerates AI/ML capabilities and production-grade deployments.