Job Description
Elevate your career as a Senior AI Engineer with a focus on Cloud solutions in a remote work environment. Drive production-grade AI infrastructures and governance across AWS and Azure platforms.
In this role, you will be pivotal in managing AI agent infrastructure and ensuring compliance with enterprise governance standards. Collaborating with the I&O Architecture Engineering team, you will utilize your expertise in AWS Bedrock and Azure AI Foundry to create robust systems. Your role is instrumental in maintaining observability, security, and policy across a multi-cloud ecosystem.
Key Responsibilities:
• Design and deploy AI agent workloads on AWS Bedrock
• Build Azure AI Foundry agent pipelines with telemetry
• Architect MCP connector infrastructure with RBAC
• Create unified observability dashboards across platforms
• Participate in CDR for AI agent deployments
Requirements:
• 5+ years in platform engineering, 2+ in AI/ML
• Proficient in Python; Node.js ...
In this role, you will be pivotal in managing AI agent infrastructure and ensuring compliance with enterprise governance standards. Collaborating with the I&O Architecture Engineering team, you will utilize your expertise in AWS Bedrock and Azure AI Foundry to create robust systems. Your role is instrumental in maintaining observability, security, and policy across a multi-cloud ecosystem.
Key Responsibilities:
• Design and deploy AI agent workloads on AWS Bedrock
• Build Azure AI Foundry agent pipelines with telemetry
• Architect MCP connector infrastructure with RBAC
• Create unified observability dashboards across platforms
• Participate in CDR for AI agent deployments
Requirements:
• 5+ years in platform engineering, 2+ in AI/ML
• Proficient in Python; Node.js ...
Ready to Apply?
Submit your application today and join our talented team at SageBeans RPO.
Submit ApplicationJob Details
- Location grande prairie, division no. 19
- Job Type Full-time
- Category Other-General
- Posted Date June 19, 2026
- Application Deadline July 29, 2026