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Cloud Engineer Specializing in AI Systems
Job Description & How to Apply Below
As a Senior/Staff Cloud Engineer, you'll be essential in the design and deployment of AI agent infrastructures. You will integrate governance practices across AWS Bedrock and Azure AI Foundry, supporting vital enterprise systems. Your collaboration with architecture teams ensures AI systems are both observable and secure.
Key Responsibilities:
• Implement and manage production AI agent workloads on AWS
• Develop Azure AI Foundry with metrics and monitoring integration
• Architect security policies for data systems and ensure compliance
• Build dashboards for unified observability across cloud platforms
• Guide the Critical Design Review processes for agent deployments
Requirements:
• 5+ years in software engineering with AI/ML experience
• Expertise in Python and container-based deployments
• Hands-on with CI/CD processes and observability metrics
• Knowledgeable in OAuth2 and RBAC policies
• Experience with LLM systems and governance frameworks
Apply your skills in cloud engineering to optimize AI governance successfully.
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