Cloud Architect
Haystack
seniorcontractbackendsecurity United States Today via LinkedIn
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AWSIAMCloud GovernanceAWS BedrockCloudTrailCloudWatchECRS3AI/MLSecurity Policies
About the role
Role Overview
Design and optimize AI-ready cloud environments for production use, including high-performance compute and GPU clusters. Own secure integration of AI services into existing systems and ensure reliable, scalable operations for deployed models.
Responsibilities
- Design and optimize AI-ready cloud infrastructure (compute/GPU clusters)
- Securely integrate AI tools, APIs, and databases into existing systems
- Manage model deployment with monitoring, versioning, and scaling in production
- Implement guardrails and enforce cloud security policies for AI systems
- Develop cost management and operational efficiency strategies for 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, and Bedrock
- Practical AI/ML experience using cloud-native AI services, specifically AWS Bedrock
- Ability to evaluate and implement access control models
- Strong documentation and communication skills for governance procedures and technical recommendations
What's On Offer
- Opportunity to work on cutting-edge AI and cloud projects
- Collaboration with experienced teams in a dynamic environment
- Significant impact on secure, efficient AI implementation and organizational innovation
About Haystack
Haystack partners with clients to deliver innovative cloud and AI-driven initiatives. The work focuses on designing and implementing secure, high-performance cloud environments that support production AI workloads.
Scraped 7/27/2026