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Co-pilot studio subject matter experts (smes)

London
Nexify Infosystems
Pilot
Posted: 28 October
Offer description

Location: UK, London (Hybrid)

10+ years in software engineering or 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.
* 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.
* 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 Qualifications

* 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).
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