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.
What you'll do
1. Solution Architecture & Design
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
2. Deployment & Implementation
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.
3. Client Engagement & Leadership
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 workstreams, 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
4. Security, Compliance & Responsible AI
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 ID, 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
5. Operational Readiness & Change Management
Support user adoption, training, and operational readiness activities
Develop documentation, runbooks, and governance artifacts
Partner with change management teams to ensure successful rollout and sustained usage
Define adoption…