AI Agent Architect, Customer Experience

Agent Retrieval:

• Architect the knowledge systems that enable AI agents to surface the right answer.
• Measure and improve retrieval precision, contextual relevance, and hallucination rates.
• Monitor the observability layer that turns agent behavior into actionable insights.

Automated Resolution:

• Build the decision frameworks that allow agents to take confident actions.
• Encode business logic into auditable, predictable systems that resolve issues.
• What APIs do agents need to access?

AI Safety:

• Establish the guardrails that keep resolution rates high while failure rates stay low.
• You're responsible for what the agent doesn't do wrong: edge cases caught, prompt injection blocked, unintended behaviors prevented.