Architect

Role summary

Provide independent go-live validation that each customer environment is isolated, correctly configured,

successfully deployed, and fit for handoff across GCP CCAI and AWS voice/chat — including that RAG /

knowledge grounding works for the scenarios in scope. You are the quality gate, not the person who built the

environment or the pipeline.

What success looks like

• No customer is handed off without a completed validation checklist covering infrastructure,
  
  

configuration, channels in scope, data, and RAG / knowledge grounding.

• Defects are logged with severity and owner; critical issues block go-live.
• Validation becomes increasingly automated and reusable across customers.
  
  

Key responsibilities

• Define and maintain acceptance checklists for landing zones, IAM/isolation, CCAI, voice, chat, synthetic
  
  

data, and RAG / knowledge retrieval.

• Execute functional smoke tests on each requested channel after deployment.
• Test a defined set of knowledge-grounded questions to confirm retrieval and answers use the customer
  
  

corpus, not generic model knowledge alone.

• Verify multi-customer isolation (project/account boundaries, IAM, data paths, index isolation).
• Spot-check security basics: public exposure, secrets handling, logging enabled, encryption settings.
• Validate that synthetic data loaded correctly and supports the intended demo or evaluation scenarios.
• Log defects, confirm remediation, and sign off for Delivery Lead handoff.
• Build a library of automated or semi-automated validation scripts over time.
  
  

Required Qualifications

• 4+ years in QA, SDET, or implementation validation for cloud-hosted products.
• Experience testing multi-environment or multi-tenant systems.
• Ability to write structured test cases and basic automation (Python, Playwright, or API tests).
• Comfort validating both infrastructure settings and conversational user journeys.
  
  

Preferred Qualifications

• Prior validation of contact-center or conversational AI deployments.
• Experience testing knowledge-grounded or RAG-enabled assistants.
• Exposure to GCP and AWS consoles for configuration verification.
• Security or compliance testing experience.
  
  

Sourcing keywords for recruiting

QA engineer, SDET, implementation validation, UAT, contact center testing, conversational AI QA, RAG testing, knowledge

grounding, cloud isolation testing