Senior Platform Lead, AI/ML Cloud & Infra

JPMorganChase; Wilmington (DE); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer for the AIML Data Platforms team to design and operate foundational cloud infrastructure enabling data scientists and ML engineers to develop, train, and deploy AI solutions. You will lead platform reliability, scalability, and automation across cross-functional teams, accelerating enterprise AI capabilities.

The role emphasizes production-grade services, IaC, and secure handling of AI workflows, with a focus on performance, cost, and governance

Qualifications

• Formal training or certification on software engineering concepts and 5+ years 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 and other clouds.
• Demonstrated expertise with 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; Linux, scripting, and networking fundamentals.
• Demonstrated experience leading approval of AI-assisted software development tools and ensuring validation.
• Strong understanding of responsible AI use in engineering workflows.

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 IaC solutions for 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 lifecycle management.
• Partners with data science and ML teams to translate model 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 and AI-assisted development practices with secure validation standards.
• Applies knowledge of SDLC tools to improve automation and value delivered by AI-assisted development.

Skills

Python/Java

Distributed systems

AWS cloud

Terraform

Docker

Kubernetes

AI/ML platforms

CI/CD

Linux scripting

AI tooling

Responsible AI

Tools

Kubeflow

MLflow

PyTorch

TensorFlow

Hugging Face

scikit-learn

AWS EKS

Job description

JPMorganChase is seeking a Lead Software Engineer for the AIML Data Platforms team to design and operate foundational cloud infrastructure enabling data scientists and ML engineers to develop, train, and deploy AI solutions. You will lead platform reliability, scalability, and automation across cross-functional teams, accelerating enterprise AI capabilities.

The role emphasizes production-grade services, IaC, and secure handling of AI workflows, with a focus on performance, cost, and governance