Azure reference architectureCandidate sourcing and outreach
A Azure reference architecture for candidate sourcing and outreach in Recruiting & HR. Triggered by new role opened or candidate applies, Padiso orchestrates 3 specialist agents on Azure AI Foundry, reaching applicant tracking system, ats (greenhouse, lever) and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.
AzureRuntime: Azure AI FoundryTrigger
New role opened or candidate applies
Recruiting & HR
Orchestration
Padiso Orchestrator
goals · tasks · heartbeat
Governance
budgets · approvals · audit
Runtime & agents
Agent runtime
Azure AI Foundry
Sourcing agent
agent
Screening agent
agent
Coordination agent
agent
Integrations · MCP
MCP gateway
Your systems
Applicant Tracking System, ATS (Greenhouse, Lever)
Sourcing channels
Calendar
How the data flows
Trigger: New role opened or candidate applies
- 1
Sourcing agent finds and enriches candidates matching the role
- 2
Screening agent reviews applications against the scorecard
- 3
Shortlists are pushed to the recruiter in the ATS
- 4
Outreach requires recruiter approval
Agent team
- Sourcing agent
- Screening agent
- Coordination agent
Integrations
Reached through the Model Context Protocol, scoped and governed.
Runtime & data
Azure AI Foundry
Applicant Tracking System, ATS (Greenhouse, Lever)
Sourcing channels
Calendar
Security & operational considerations
- Bias guardrails on screening criteria
- Candidate PII handled per policy
- No outreach without approval
Azure deployment
Deployed in your Azure tenant on AI Foundry, with Entra ID scoping, Private Endpoints into your VNet, and Azure Monitor for audit and observability.
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