Copilot Studio Technical Lead

Introduction The Copilot Studio Technical Lead is responsible for leading enterprise clients through the strategy, design, architecture, governance, implementation, and adoption of Microsoft Copilot Studio solutions, serving as a trusted advisor who bridges technical expertise with strategic business outcomes. This role combines deep AI and Power Platform knowledge with consulting leadership to help organizations responsibly integrate intelligent copilots across their Microsoft 365, Azure, and enterprise digital ecosystems.

Come Join Us Join Avanade's AI Workforce practice and be at the forefront of enterprise AI transformation — architecting the next generation of intelligent Copilot solutions on Microsoft's most cutting‑edge technologies. This is your opportunity to shape how global organizations adopt AI at scale, working alongside world‑class practitioners on engagements that truly matter.

Lead end‑to‑end architecture of Copilot Studio solutions including copilots, plugins, connectors, data sources, and governance frameworks.

Translate business requirements into scalable, secure, and compliant architectures using Copilot Studio, Power Platform, Azure services, and Microsoft 365.

Lead AI use case assessment and platform fit analysis across Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry, Power Platform, and related enterprise tools.

Design conversational flows, orchestration logic, and integration patterns for enterprise copilots.

Define data models, lifecycle policies, and environment strategies using Dataverse and Azure resources.

Establish architecture patterns that balance business value, technical feasibility, security, compliance, and operational readiness.

Lead technical implementation across development, testing, deployment, and operationalization.

Configure Copilot Studio environments, connectors, authentication, and integration endpoints.

Build and deploy plugins, custom connectors, and automation using Power Automate, Azure Functions, Logic Apps, and API Management.

Establish CI/CD pipelines, ALM processes, and environment governance for Copilot solutions.

Support production readiness by defining testing approach, monitoring needs, escalation paths, and documentation.

Facilitate workshops, discovery sessions, and roadmap planning with business and technical stakeholders.

Advise clients on AI adoption, responsible AI practices, and enterprise governance models.

Lead delivery teams, manage work streams, and ensure high‑quality deliverables.

Communicate complex technical concepts to executive audiences with clarity and confidence.

Serve as the bridge between business users, IT, security, data owners, platform teams, and engineering teams to move ideas from concept to approved implementation.

Define enterprise Copilot Studio operating models, including intake, triage, approval workflows, environment strategy, connector governance, DLP alignment, lifecycle management, and production readiness criteria.

Implement identity, access, and data governance controls using Entra , Dataverse, and Microsoft 365.

Ensure copilots adhere to responsible AI, privacy, and compliance requirements.

Conduct risk assessments, security reviews, and architectural validation.

Partner with client security, compliance, legal, platform, and business stakeholders to ensure solutions are approved, supportable, and aligned to enterprise AI standards.

Help clients define what copilots should and should not do, including boundaries for autonomous actions, human‑in‑the‑loop review, sensitive data access, and system‑of‑record updates.