Key Responsibilities:
Design and implement enterprise-scale AI cloud architectures on AWS for GenAI, ML, and AI-enabled applications.
Define and standardize AI environment setup and lifecycle architecture across Sandbox, PoC/Dev, Pilot, and Production environments.
Architect secure multi-account AWS environments using AWS Organizations, Control Tower, IAM Identity Center, and centralized governance frameworks.
Define enterprise AI SDLC standards including environment promotion workflows, approval gates, deployment standards, auditability, and operational controls.
Design scalable and secure AI platform patterns leveraging AWS services such as Bedrock, ECS/EKS, Lambda, S3, API Gateway, EventBridge, CloudWatch, and related AI ecosystem services.
Establish AI governance guardrails including identity and access management, data classification controls, encryption standards, audit logging, secrets management, and compliance enforcement.
Design reusable architecture blue...