Power Platform & Copilot Studio Architect

About the role

A resourceful, hyper-curious technology professional who independently owns technical architecture decisions for agent and conversational-AI solutions built on Microsoft Copilot Studio and the Power Platform, backed by custom Azure development where the workload demands it. This role owns the hardest recurring judgment in Microsoft-centered engagements: when a solution belongs on low-code, when it belongs in fully custom development, and when the right answer is a hybrid of both — and can defend that placement on economics, maintainability, quality, and time-to-value. The role combines deep Copilot Studio and Power Platform domain expertise with genuine application-development problem-solving and product thinking.

Working alone or with a small team, you are adept at quickly reviewing APIs, SDKs, and platform documentation, and can prototype an agent experience for client review within days of concept. You design agent experiences that are grounded, evaluated, and safe; orchestrate hybrid solutions where low-code and custom services each play the role they are best at; and guide clients across commercial and government clouds (GCC, GCC High), where feature-parity differences are deal-critical and must be verified per tier before designs are committed. This role reports to a Team Lead, Manager, or Senior Manager, Digital Architecture.

Responsibilities

• Own build-approach decisions across engagements: evaluate each workload for Power Platform / Copilot Studio, custom Azure development, or hybrid delivery, and defend the placement on licensing and consumption economics, supportability, extensibility, quality requirements, and time-to-value
• Design and develop system architecture for enterprise-grade agent solutions on Microsoft Copilot Studio — agent design, knowledge-source strategy, custom actions and tools, channel strategy, and M365 Copilot extensibility — integrated with Dataverse, Power Apps, and Power Automate
• Architect hybrid solutions that marry low-code and custom development: Copilot Studio and Power Automate as the orchestration or experience layer over custom Azure services (Functions, Logic Apps, Service Bus, APIs), and custom applications invoking Power Platform capabilities where that inverts — selecting the seam deliberately
• Architect for the client's actual cloud: advise on Commercial vs GCC vs GCC High feature parity for Copilot Studio and the Power Platform, verify per-tier availability against current Microsoft documentation before committing designs, and redesign around government-cloud constraints (channels, triggers, knowledge sources, connectors, identity)
• Establish quality and safety engineering for conversational AI: grounded-answer and citation design, evaluation approaches for agent output, content-safety configuration, and monitoring for quality drift in production
• Advise clients on Copilot Studio and Power Platform licensing and consumption models (including credit-metered agent consumption); model the economics of agent workloads against custom-build alternatives as an input to architecture decisions
• Develop prototypes for client pitches and manage them through to completion with the WWT Digital team
• Conduct technology reviews, assessments, and dependency-mapping exercises for clients to understand current environments; analyze the client's technological state and propose improvements and future implementations, including agent and automation roadmaps
• Establish architectural best practices and governance models (DLP, RBAC, environment strategy, CoE, agent lifecycle governance) so solutions remain sustainable and enterprise-ready after handoff
• Communicate architectural and technical decisions to internal stakeholders, other architects, and other WWT Digital team members
• Provide technical oversight and direction for delivery teams as a member of a multi-person architecture team, or under the direction of a manager

Qualifications

• 10+ years of experience in software engineering or enterprise solution delivery, including at least 2+ years of experience architecting systems and 6+ years of experience leading technical teams
• Demonstrated experience delivering conversational-AI or agent solutions to production is required
• Deep expertise in Microsoft Copilot Studio: agent design, generative orchestration, knowledge sources, custom actions/tools, channels, analytics, and M365 Copilot extensibility
• Deep expertise across the Microsoft Power Platform: Power Apps, Power Automate, Dataverse, Power Pages, and AI Builder — including governance (DLP, RBAC, environment strategy, CoE) and ALM
• Strong application-development foundation: REST/Graph APIs, Azure Functions, custom connectors, and enough fluency in a modern language (C#, TypeScript) to design and review the custom side of hybrid solutions credibly
• Working knowledge of Azure AI services (Azure OpenAI, AI Search, Document Intelligence, Language) and where they outperform in-platform equivalents — the raw material of custom-vs-low-code decisions
• Working knowledge of Microsoft government cloud offerings (GCC, GCC High): identity planes, feature-parity discipline, and the practice of verifying per-tier availability before committing designs in writing
• Strong Copilot Studio and Power Platform licensing knowledge, including consumption/credit-metered models; able to model agent economics as an architecture input
• Product thinking: frames solutions around business outcomes and adoption, weighs who maintains the solution after handoff, and knows when not to build
• Hands-on experience with emergent AI coding practices using LLM-based coding tools to accelerate design and delivery workflows
• Experience with CI/CD tools and techniques, and with solution ALM for platform workloads (Azure DevOps, GitHub)
• Exhibits superior communication skills, both oral and written; is clear, concise, sincere, and persuasive
• Excellent listening skills and displays a genuine interest in the voice of others
• Demonstrates initiative and creativity in all work efforts
• Pursues objectives beyond what is required or expected

Pay

A reasonable estimate of the current base pay range for this position in Toronto is $120,800 to $151,000, annually + 14% as target incentives. Actual salary will be based on a variety of factors, including location, experience, skill set, education, and related certification. The range for this position in other geographic locations may differ.

Benefits

• Medical and Dental Care
• Employee & Family Assistance Program
• RRSP/DPSP Retirement Savings Plan with Company Matching
• Life and Disability Insurance
• Vacation and Sick Leave
• Holidays
• Parental Leave
• Volunteer Days
• Bereavement Leave
• Employee Discount Program