Lead AI/ML Platform Engineer—Cloud & Infra

JPMorganChase; Wilmington (DE); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorganChase is seeking a Senior Lead Software Engineer to design, build, and operate foundational cloud infrastructure enabling data scientists and ML engineers to develop, train, and deploy AI solutions across the firm. You will lead platform reliability, scalability, and automation while collaborating with cross-functional teams to solve complex infrastructure challenges.

The role accelerates the firm’s AI/ML capabilities, delivering production-grade deployments and measurable business

Qualifications

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Experience delivering secure, production-quality code in Python or Java.
• Strong foundations in distributed systems, microservices, and platform architecture/design principles.
• Proven ability to architect and operate cloud-native infrastructure on AWS (compute, networking, storage, security) and other major clouds.
• Demonstrated expertise with infrastructure-as-code tooling, specifically Terraform, in large-scale cloud environments.
• Hands-on experience with Docker and Kubernetes, including AWS EKS operations.
• Experience building or supporting production AI/ML platforms (training, deployment, and model serving/inference), including GPU infrastructure/tooling.
• Strong DevOps/platform engineering practices: CI/CD, release automation, automated testing, and observability.
• Experience with SQL/NoSQL databases and data integration; strong Linux, scripting, and networking fundamentals.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment.

Responsibilities

• Builds and maintains reusable AI/ML platform infrastructure and shared services to support development, deployment, and operations at scale.
• Architects, deploys, and operates secure cloud and container-based environments for training and inference, including GPU-intensive workloads.
• Design and implement platform tooling, automation, and infrastructure-as-code solutions to streamline model deployment, environment provisioning, release management, and operational support.
• Develops and maintains production-grade services, APIs, SDK integrations, and workflows that support model training, serving, evaluation pipelines, and AI application lifecycle management.
• Partners with data science, ML engineering, and application teams to translate model and compute requirements into platform standards and deployment patterns.
• Optimizes platform reliability, scalability, latency, and cost through orchestration, scheduling, and hardware acceleration.
• Establishes operational best practices including monitoring, logging, observability, access controls, incident response, and production troubleshooting.
• Supports enterprise LLM operationalization, including fine-tuning workflows, inference optimization, and evaluation; contribute to documentation and engineering standards.

Skills

Python

Java

Distributed systems

Cloud-native infra

DevOps practices

Secure coding

SQL/NoSQL

Linux scripting

AI-assisted development

Education

Software engineering certification

Tools

Terraform

Docker

Kubernetes

AWS EKS

Job description

JPMorganChase is seeking a Senior Lead Software Engineer to design, build, and operate foundational cloud infrastructure enabling data scientists and ML engineers to develop, train, and deploy AI solutions across the firm. You will lead platform reliability, scalability, and automation while collaborating with cross-functional teams to solve complex infrastructure challenges.

The role accelerates the firm’s AI/ML capabilities, delivering production-grade deployments and measurable business