Microsoft Copilot Studio- SME

Microsoft Copilot Studio- SME

Posted 1 day ago by Nexify Infosystems

Negotiable
Undetermined
Hybrid
London Area, United Kingdom

Summary: The role of Microsoft Copilot Studio Subject Matter Expert (SME) involves designing, developing, and operationalizing AI-powered copilots and agents using Microsoft Copilot Studio and related technologies. The position requires collaboration with various stakeholders to translate business needs into effective conversational agent designs and ensure adherence to security and governance standards. The SMEs will also focus on continuous improvement and quality assurance of the solutions delivered. This is a hybrid position based in London, UK, for a duration of 12 months.

Key Responsibilities:

  • Solution Design - Translate business use cases into conversational agent designs, user journeys, and measurable outcomes.
  • Define agent intents, topics, prompts, guardrails, and content grounding strategies.
  • Architect solutions using Copilot Studio with appropriate connectors, actions, and Power Platform components.
  • Development and Configuration - Build copilots/agents in Copilot Studio, including topics, actions, plugins, orchestration, and generative answers.
  • Implement integrations via Power Automate flows, Power Apps components, Dataverse, and Microsoft Graph/first-party connectors.
  • Create and manage data connections, environment variables, and solution packages for ALM.
  • Data, Security, and Governance - Configure data loss prevention (DLP) policies, environment strategies (Dev/Test/Prod), role-based access control, and audit logging.
  • Apply responsible AI practices: prompt design, grounding, retrieval augmentation, safety filters, and compliance with data privacy standards.
  • Partner with InfoSec to ensure adherence to enterprise security, data residency, and regulatory requirements.
  • Quality and Operations - Establish test plans, telemetry, and analytics to measure adoption, accuracy, containment, and ROI.
  • Perform prompt tuning, topic refinement, and continuous improvement based on user feedback and analytics.
  • Contribute to documentation, runbooks, and knowledge articles; support UAT and production release cycles.
  • Stakeholder Engagement - Work with product owners, SMEs, and engineering to prioritize backlogs and deliver iterative releases.
  • Conduct demos, training, and enablement for business users and citizen developers.
  • Provide technical guidance on platform best practices and patterns.

Key Skills:

  • Hands-on experience building solutions with Microsoft Copilot Studio (formerly Power Virtual Agents) or comparable conversational AI platforms.
  • Strong Power Platform skills: Power Automate (cloud flows), Power Apps (Canvas/Model-driven), Dataverse, solution management/ALM.
  • Proficiency with Microsoft 365 and Azure ecosystem: Microsoft Graph, Azure AD/Entra ID, API permissions/consent, Azure Functions/Logic Apps (nice to have).
  • Solid understanding of prompt engineering, retrieval/grounding, and responsible AI concepts.
  • Experience integrating with enterprise systems via connectors, REST APIs, webhooks, and custom connectors.
  • Familiarity with environment strategy, DLP, security roles, and governance in Power Platform.
  • Strong problem-solving, communication, and stakeholder management skills.
  • Experience with complex agent orchestration, tool calling/actions, and multi-turn conversational design (preferred).
  • Background in .NET/TypeScript/Power Fx; ability to build custom connectors and lightweight services (preferred).
  • Knowledge of analytics/telemetry: Power BI, Application Insights, Copilot Studio analytics (preferred).
  • Experience in regulated industries (financial services, healthcare, public sector) and associated compliance controls (preferred).
  • Certifications: Microsoft Power Platform Developer (PL-400), Functional Consultant (PL-200), Power Platform Solution Architect (PL-600), Azure AI Engineer (AI-102) or equivalent (preferred).

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Title : Microsoft Copilot Studio- SME

Location : LONDON, UK - HYBRID

Duration : 12 Months

We are seeking multiple Copilot Studio Subject Matter Experts (SMEs) to design, develop, and operationalize AI-powered copilots and agents across a range of complexity—from guided Q&A copilots to multi-step, enterprise-grade agents integrated with line-of-business systems. These SMEs will leverage Microsoft Copilot Studio, Power Platform, and broader Microsoft cloud services to deliver secure, scalable, and value-focused solutions.

Key Responsibilities

  • Solution Design - Translate business use cases into conversational agent designs, user journeys, and measurable outcomes.
  • Define agent intents, topics, prompts, guardrails, and content grounding strategies.
  • Architect solutions using Copilot Studio with appropriate connectors, actions, and Power Platform components.
  • Development and Configuration - Build copilots/agents in Copilot Studio, including topics, actions, plugins, orchestration, and generative answers.
  • Implement integrations via Power Automate flows, Power Apps components, Dataverse, and Microsoft Graph/first-party connectors.
  • Create and manage data connections, environment variables, and solution packages for ALM.
  • Data, Security, and Governance - Configure data loss prevention (DLP) policies, environment strategies (Dev/Test/Prod), role-based access control, and audit logging.
  • Apply responsible AI practices: prompt design, grounding, retrieval augmentation, safety filters, and compliance with data privacy standards.
  • Partner with InfoSec to ensure adherence to enterprise security, data residency, and regulatory requirements.
  • Quality and Operations - Establish test plans, telemetry, and analytics to measure adoption, accuracy, containment, and ROI.
  • Perform prompt tuning, topic refinement, and continuous improvement based on user feedback and analytics.
  • Contribute to documentation, runbooks, and knowledge articles; support UAT and production release cycles.
  • Stakeholder Engagement - Work with product owners, SMEs, and engineering to prioritize backlogs and deliver iterative releases.
  • Conduct demos, training, and enablement for business users and citizen developers.
  • Provide technical guidance on platform best practices and patterns.

Qualifications Required

  • Hands-on experience building solutions with Microsoft Copilot Studio (formerly Power Virtual Agents) or comparable conversational AI platforms.
  • Strong Power Platform skills: Power Automate (cloud flows), Power Apps (Canvas/Model-driven), Dataverse, solution management/ALM.
  • Proficiency with Microsoft 365 and Azure ecosystem: Microsoft Graph, Azure AD/Entra ID, API permissions/consent, Azure Functions/Logic Apps (nice to have).
  • Solid understanding of prompt engineering, retrieval/grounding, and responsible AI concepts.
  • Experience integrating with enterprise systems via connectors, REST APIs, webhooks, and custom connectors.
  • Familiarity with environment strategy, DLP, security roles, and governance in Power Platform.
  • Strong problem-solving, communication, and stakeholder management skills.

Preferred

  • Experience with complex agent orchestration, tool calling/actions, and multi-turn conversational design.
  • Background in .NET/TypeScript/Power Fx; ability to build custom connectors and lightweight services.
  • Knowledge of analytics/telemetry: Power BI, Application Insights, Copilot Studio analytics.
  • Experience in regulated industries (financial services, healthcare, public sector) and associated compliance controls.
  • Certifications: Microsoft Power Platform Developer (PL-400), Functional Consultant (PL-200), Power Platform Solution Architect (PL-600), Azure AI Engineer (AI-102) or equivalent.

Success Metrics

  • Time-to-value: cycle time from ideation to pilot/production.
  • Adoption and containment rate; user satisfaction (CSAT).
  • Accuracy and safety: grounded responses, reduced escalations.
  • Operational reliability: uptime, latency, and incident rates.
  • Governance compliance: DLP adherence, audit readiness, and secure data handling.
  • Business impact: productivity gains, cost savings, and measurable outcomes.
  • Exposure to AI/ML frameworks (nice-to-have, not mandatory).