Copilot Studio Architect - Microsoft Services Consulting
New
Remote-Anywhere in USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- RESTful APIsPrompt Engineering
Requirements
- 5+ years of experience in solution, platform, or enterprise architecture roles
- Proven experience designing and delivering solutions with Microsoft Copilot Studio
- Hands-on experience with Azure AI Foundry, including model selection, evaluation, orchestration, and grounding
- Deep expertise in Power Platform architecture and governance
- Strong understanding of conversational AI, LLMs, and prompt engineering at enterprise scale
- Experience integrating enterprise systems via APIs and connectors
- Solid knowledge of Microsoft 365, identity, and security concepts
- Excellent client-facing, presentation, and facilitation skills
- Experience working directly with OpenAI models or APIs (e.g., GPT-based solutions) (Preferred)
- Experience with Azure OpenAI Service (Preferred)
- Background in enterprise chatbot or AI platform implementations (Preferred)
- Familiarity with responsible AI, model evaluation, and risk mitigation frameworks (Preferred)
- Microsoft certifications (Power Platform Solution Architect, Azure Architect, AI Engineer) (Preferred)
- Experience working in consulting, system integrators, or professional services firms (Preferred)
Responsibilities
- Architect end-to-end copilot solutions using Microsoft Copilot Studio for enterprise environments
- Design scalable AI architectures leveraging Azure AI Foundry for model management, evaluation, orchestration, and grounding
- Define conversational, integration, and data architectures aligned with client business objectives
- Design multi-copilot ecosystems, orchestration patterns, and reusability frameworks
- Establish enterprise standards for prompts, topics, plugins, connectors, and actions
- Lead integrations with Power Platform, Microsoft 365, Dataverse, Power Automate, and external enterprise systems
- Design secure API and data-grounding strategies using structured and unstructured sources
- Collaborate on hybrid architectures leveraging Azure services such as Functions, Logic Apps, API Management, and Storage
- Define copilot governance models including environments, DLP policies, access controls, and lifecycle management
- Ensure compliance with enterprise security, privacy, and regulatory requirements
- Design authentication and authorization strategies using Entra ID (Azure AD)
- Establish monitoring, logging, telemetry, and AI evaluation standards
- Partner with executive stakeholders to identify high-value AI use cases and adoption roadmaps
- Lead discovery workshops, architecture reviews, and technical design sessions
- Translate business strategy into scalable copilot and AI platform architectures
- Provide technical leadership and mentorship to client and internal delivery teams
- Oversee build, testing, deployment, and post-production optimization
- Guide performance tuning, accuracy improvements, prompt refinement, and grounding strategies
- Support change management and enterprise rollout strategies
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