Copilot Studio Architect – Enterprise AI Lead

Aroha Technologies, Inc

Alameda (CA)

Hybrid

USD 180,000 - 240,000

Full time

2 days ago

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Job summary

Aroha Technologies, Inc in Alameda, CA seeks an experienced Copilot Lead/Architect to design, implement, and govern enterprise-scale Copilot solutions. Hybrid full-time role focusing on architecture, deployment, and integration with enterprise apps such as Veeva and Workday.

Responsibilities include governance, security, observability, and building scalable AI capabilities with Copilot Studio and Microsoft Graph.

Qualifications

Bachelor's degree in CS, IS, or related field.
12–15 years of IT experience.
2–3 years hands-on with Microsoft Copilot, Copilot Studio, or Microsoft 365 Copilot.
2+ years MCP integration, governance, observability, and enterprise deployment.
Experience with conversational AI features including intents, entities, adaptive cards, agent flows, and multi-agent orchestration.
3+ years of experience creating standard and custom connectors.
Experience integrating Copilot with enterprise applications, preferably Veeva and Workday.
5+ years of experience with REST APIs, OAuth, authentication, and integration patterns.
3+ years of experience with Power Platform (Power Automate & Power Apps).
Strong knowledge of Microsoft Graph, Azure services, and enterprise security controls.
Python experience is a plus.

Responsibilities

Design and implement Microsoft Copilot and Copilot Studio solutions.
Lead enterprise deployment, governance, observability, and security of Copilot solutions.
Develop MCP integrations and AI agent orchestration using Copilot Studio.
Build conversational AI capabilities including trigger phrases, intents, entities, adaptive cards, variables, custom prompts, and agent flows.
Create and configure standard and custom connectors.
Integrate Copilot with enterprise applications such as Veeva and Workday.
Develop integrations using REST APIs, OAuth, Microsoft Graph, and Power Platform.
Collaborate with cross-functional teams to deliver scalable AI solutions and establish best practices.