Job Summary:

We are seeking a highly skilled AI Platform Engineer with a passion for building scalable systems and enabling AI at scale. In this role, you will design, develop, and maintain robust infrastructure and tools that support the end-to-end machine learning lifecycle. You will work closely with cross-functional teams to deploy intelligent solutions using cutting-edge cloud and DevOps practices.

Key Responsibilities:

• Design and implement scalable AI platform solutions to support ML workflows.
• Build and deliver software using Python (experience with additional languages is a plus).
• Deploy infrastructure and tools for running ML and data science at scale using Infrastructure as Code (IaC).
• Enable automation strategies through DevOps practices and CI/CD pipelines.
• Apply MLOps practices to accelerate and automate the machine learning lifecycle.
• Manage and optimize application deployments on Amazon EKS (Elastic Kubernetes Service).
• Implement Infrastructure as Code using Terraform or AWS CloudFormation.
• Provision and scale AI platforms like Domino Data Labs, Databricks, or similar tools.
• Collaborate with cross-functional teams to integrate AI into AWS cloud infrastructure.
• Develop DevOps pipelines using GitHub and GitHub Actions.
• Ensure the high availability, reliability, and performance of AI platform services.
• Monitor, diagnose, and resolve system performance issues proactively.
• Stay current with industry trends and AI/cloud technology advancements.
• (Optional/Favorable) Work within GxP-compliant life science environments.

Required Qualifications:

• Proven hands-on experience with Amazon EKS and AWS services.
• Strong expertise in Terraform and/or AWS CloudFormation for IaC.
• Proficient in Python programming.
• Experience provisioning and managing AI platforms (e.g., Domino Data Labs, Databricks).