About the role

Role Overview

Design and optimize AI-ready cloud environments for high-performance compute and GPU clusters. Integrate AI tools, APIs, and databases securely into existing systems, and ensure production reliability through deployment, monitoring, versioning, and scaling.

Responsibilities

Design and manage AI-ready cloud infrastructure (compute and GPU clusters)
Securely integrate AI tools, APIs, and databases with existing systems
Manage model deployment, monitoring, versioning, and scaling in production
Implement guardrails and enforce cloud security policies for AI systems
Develop strategies for cost management and operational efficiency of AI workloads
Pilot new technologies and evaluate vendor solutions to support innovation

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, Bedrock
Practical AI/ML experience using 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 Have

Experience evaluating and implementing new vendor solutions and emerging technologies

About Haystack

Haystack works with clients to deliver innovative cloud and AI-driven initiatives, partnering with teams to build and optimize cloud platforms. The role focuses on secure, cost-efficient AI-ready cloud environments and production-grade model deployment.

Cloud Architect

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