Design, build, and operate the firm's AI platform, enabling developers to build and deploy Python-based AI applications; Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls; Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring; Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm. Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep); Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions; Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services; Drive Secure DevOps practices including secrets management, dependency scanning, and policy enforcement.