Copilot Tech Lead

About the role

This position leads the technical vision and delivery of Copilot-based agent solutions, ensuring scalable, secure, and enterprise-ready conversational AI experiences.

Responsibilities

• Lead end-to-end agent solutions on Copilot Studio, including topics, flows, prompt actions, entities, and fallback strategies.
• Design Dataverse data models to support agent context, conversation history, and knowledge repositories.
• Design multi-agent orchestration patterns using Copilot Studio and Power Platform connectors.
• Define agent governance frameworks covering authentication (Entra ID/SSO), data loss prevention (DLP), sensitivity labels, and channel policies (Teams, Web, Mobile).
• Lead integration architecture for agents connected to enterprise tools and connectors.
• Establish prompt engineering standards, grounding strategies (RAG using Azure AI Search), and responsible AI guardrails.
• Evaluate and adopt new Copilot Studio capabilities, including autonomous agents, agent flows, knowledge sources, and plugin actions.
• Collaborate with business analysts to convert use cases into agent capability maps and effort estimates.
• Conduct architecture reviews, code/configuration reviews, and performance/load assessments for agent deployments.
• Build reusable patterns, accelerators, and Center of Excellence (CoE) toolkits for agent development teams.

Requirements

• 15+ years of relevant experience.
• Proven expertise in Copilot Studio, Power Platform, and Azure AI technologies.

Location: Dublin, CA