AI Cloud Engineer at Foundations Team
Job in
Granby, Montréal, Province de Québec, Canada
Listed on 2026-06-22
Listing for:
SageBeans RPO
Full Time
position Listed on 2026-06-22
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), AWS, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Elevate your career as an AI Cloud Engineer on the Foundations team, focusing on governance and security for AI operations. Work in a remote or hybrid environment while developing critical AI infrastructure.
This senior position involves designing and deploying production systems using AWS Bedrock and Azure AI technologies. The role emphasizes alert observability and security governance, ensuring compliance while integrating AI agents with enterprise platforms. Collaborate closely with the I&O Architecture Engineering team to maintain high standards for AI infrastructure.
Key Responsibilities:
• Deploy production AI workloads using AWS Bedrock and Azure
• Implement security policies for enterprise data systems
• Architect observability solutions across multiple cloud providers
• Manage CI/CD pipelines for AI agent workflows
• Define KPIs for AI performance and safety standards
Requirements:
• 5+ years in engineering roles focused on cloud
• Strong Python coding skills and Type Script/Node.js familiarity
• Extensive experience with AWS Cloud services and Azure tools
• Solid understanding of observability techniques in production
• Experience with Model Context Protocol and RBAC principles
Become a pivotal part of AI engineering and governance in a top-tier remote role.
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