Copilot Tech Lead

Aspire Systems; Dublin (CA); Hybrid; USD 180,000 - 210,000; Full time

Job summary

Aspire Systems is seeking an experienced architect to lead end-to-end agent solutions on Copilot Studio from Dublin, CA. The role focuses on building data models, multi-agent orchestration, governance, and integration with enterprise tools.

You will establish prompt engineering standards, grounding strategies with Azure AI Search, and guardrails for responsible AI. Collaboration with analysts and reviews of architecture and performance are essential for successful deployments.

Qualifications

• 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.

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.

Skills

Copilot Studio

Dataverse

Power Platform

Azure AI Search

Entra ID

SSO

DLP policies

Prompt engineering

Agent governance

CoE patterns

Tools

Copilot Studio

Job description

Location: Dublin, CA (hybrid - 2/3 days onsite per week)

Experience: 10+ Years

Key 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.