We are seeking a skilled and visionary Solution Designer specializing in Microsoft Power Platform to support and deliver innovative business solutions. This role will focus on leveraging the full potential of Copilot Studio, but Power Apps, Power Automate, and Power Pages are also in the scope, to drive digital transformation and automation across the organization. The ideal candidate will possess technical expertise with Microsoft Agents, and their governance, combined with a strategic mindset to align platform capabilities with business goals. As a Solution Designer you will be part of a Center of Excellence (CoE) team that will work closely with stakeholders, developers, service owners, architects, and business units. You will play a key role in shaping our low-code strategy, guiding governance, and ensuring best practices are followed throughout the solution lifecycle. This position does not include Power BI responsibilities, allowing for a concentrated focus on Agentic AI development, automation, AI integration, and web portal experiences within the Power Platform ecosystem.

Must-Have:

• Bachelor's degree in computer science, information systems, or a related field.

• 7+ years of experience in enterprise IT solution design and development, including at least 3+ years in Power Platform / low-code architecture roles.

• Expertise in Copilot Studio, Agentic AI solutions, and M365 Copilot. Power Apps, Power Automate (cloud / desktop), Power Pages, Dataverse, custom/premium connectors, APIs and integrations are also included.

• Experience with Agentic AI governance, PowerShell scripts, C# are a strong plus

• Strong hands-on experience in Agentic AI solutions, with attention to performance, security, maintainability, and extensibility to guide and support end users in their use cases.

• Strong knowledge and skills in M365 Copilot, as well as other Microsoft 365 applications such as MS Teams, Share Point, and M365 applications.

Nice-to-Have:

• Excellent analytical, problem-solving, and communications skills: Written, Verbal and ability to present material management teams, create operational procedures guidance, and training.

• Passionate about technology, user experience, Artificial Intelligence, and collaboration tools

• Significant experience in deploying large scale technical solutions, planning and managing activities

• Agile and Continuous Delivery and methodologies, Azure DevOps

• Use‑case discovery & value framing – Partner with business stakeholders to identify high‑value copilot scenarios, define measurable outcomes (time saved, deflection rate, quality), and shape a delivery roadmap.

• Solution architecture & design – Design end‑to‑end copilot solutions (Copilot Studio + data + integrations), including conversation strategy, orchestration approach, and overall technical architecture.

• Knowledge & grounding strategy – Determine the best approach for grounding responses (approved knowledge sources, websites, Share Point, Dataverse, Graph-connected content), and reduce hallucination risk with guardrails and citations where possible.

• Integration design (connectors/plugins/APIs) – Specify how the copilot will securely interact with enterprise systems using Power Platform connectors, custom connectors, APIs, or actions—ensuring performance and reliability.

• Identity, auth & access model – Design authentication patterns (Entra ID), role-based access, least privilege, and user context handling—especially when copilots call systems of record.

• Security, compliance & DLP alignment – Ensure the solution complies with organizational policies (DLP, data classification, retention, audit), and coordinate reviews with security/privacy teams.

• Environment strategy & ALM – Define Dev/Test/Prod environment setup, solution packaging, versioning, release pipelines, and deployment patterns aligned to CoE standards.

• Reusable assets & standards – Create and maintain reusable templates (topic patterns, prompt patterns, escalation flows, connector/action patterns), plus naming conventions and design standards to scale consistently.

• Prompting & response quality patterns – Establish prompt guidance (system instructions style, grounding prompts, safe completion patterns), response formatting standards, and content safety practices.

• Testing strategy – Plan functional testing, conversation testing (happy-path/edge cases), security testing, regression testing, and load/performance considerations; define acceptance criteria.

• Risk management & Responsible AI – Identify risks (misleading answers, sensitive data exposure, bias, over-automation), implement mitigations (guardrails, disclaimers, escalation), and document decisions for governance.

• Stakeholder & delivery coordination – Act as the bridge across business owners, makers, pro developers, security, and operations—driving design reviews, backlog clarity, and delivery alignment.

• Operational readiness & lifecycle management – Ensure go-live readiness (support model, runbooks, incident process), define maintenance cadence, and manage continuous improvement using analytics and feedback loops.