This pull request refactors how AI service deployments and role assignments are handled in the infra/main.bicep file. The main change is moving the deployment and role assignment configurations from the main AI service module into a dedicated submodule, which improves modularity and maintainability.

Refactoring of AI service deployment and role assignments:

• Removed inline deployments and roleAssignments properties from the main aiFoundryAiServices module definition, simplifying its configuration.
• Introduced a new conditional submodule, aiFoundryAiServicesDeployments (using modules/ai-services-deployments.bicep), to handle AI model deployments and role assignments separately. This submodule is only deployed if a new AI Foundry AI Project is being created.
• Passed the model deployment configuration and required role assignments to the new submodule, preserving the original deployment logic but encapsulating it for better separation of concerns.

Dependency management:

• Updated dependsOn logic to ensure the correct deployment order when private networking is enabled, and to make the new deployments module depend on the main AI service resource.## Purpose

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Does this introduce a breaking change?

• Yes
• No

How to Test

• Get the code

git clone [repo-address]
cd [repo-name]
git checkout [branch-name]
npm install

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