Senior Platform Engineer (Cloud Architecture & AI Platforms)

Join our Delivery Infrastructure team as a Senior AI Platform Engineer. In this role, you will design and implement scalable, secure cloud infrastructure for our AI initiatives. You will work primarily within AWS and leverage specific Azure capabilities. Your responsibilities will include defining MLOps standards, automating complex pipelines, and ensuring the security and reliability of our AI workloads. You will also partner with the AI Innovation Group to operationalize models and implement comprehensive observability for infrastructure and model performance.

• Design and own AWS multi-account architectures, including VPC networking, security controls, and shared-services patterns to support AI workloads.
• Implement Infrastructure as Code (IaC) using AWS CDK (preferred) or Terraform to define and manage the entire AI platform stack.
• Partner with the AI Innovation Group to operationalize models using AWS SageMaker, Bedrock, and Azure OpenAI Service.
• Strong proficiency in Infrastructure as Code, specifically AWS CDK or Terraform
• Understanding of database architecture, including relational (PostgreSQL) and vector stores
• Proficiency in Python for scripting and automation; experience with API frameworks (FastAPI) is a plus
• Experience with container orchestration (Kubernetes/EKS or ECS) and Docker
• Deep expertise in AWS core services (EC2, VPC, IAM, S3) and networking (Transit Gateways, Route 53)
• 5+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure
• Bachelor’s degree in computer science, Engineering, or equivalent practical experience
• Familiarity with MLOps practices and tools (SageMaker, MLflow, Kubeflow) and deploying LLMs in production
• Experience designing CI/CD pipelines (GitHub Actions) for both code and data/model workflows