Cloud Architect

Role Overview

Design and optimize AI-ready cloud environments for production workloads. You will integrate AI services securely, manage model operations, enforce governance and security, and improve cost efficiency.

Responsibilities

• Design and optimize AI-ready cloud environments, including high-performance compute and GPU clusters.
• Integrate AI tools, APIs, and databases securely into existing systems.
• Manage AI model deployment: monitoring, versioning, and production scaling.
• Implement guardrails and enforce cloud security policies for AI systems.
• Develop strategies for cost management and operational efficiency of AI workloads.
• Support innovation by piloting new technologies and evaluating vendor solutions.

Requirements

• Hands-on experience creating and managing AWS IAM users, roles, policies, and permission sets.
• Deep understanding of Cloud Governance frameworks.
• Experience with AWS enterprise services including S3, CloudTrail, CloudWatch, ECR, and Bedrock.
• Practical AI/ML experience with cloud-native AI services, specifically AWS Bedrock.
• Ability to evaluate and implement access control models and refine roles.
• Strong documentation and communication skills for governance procedures and technical recommendations.

Nice to Haves

• Experience working with advanced model lifecycle operations and platform-level AI/ML governance in enterprise environments.