Power Platform Architect: Agentic AI & Copilot Studio

DBiz.ai

Sydney

Hybrid

AUD 230,000 - 320,000

Full time

48 hours ago

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Job summary

DBiz.ai is seeking an experienced Microsoft Power Platform Architect to own the design, governance and scaled adoption of Microsoft's low-code and agentic AI ecosystem, spanning Power Apps, Power Automate, Dataverse, and Copilot Studio.

You will translate business problems and regulatory constraints into a coherent target-state architecture, define integration patterns with Azure and line-of-business systems, and establish guardrails for rapid, compliant delivery.

Qualifications

Minimum 8 years in solution or technical architecture.
At least 4 years focused on Microsoft Power Platform in enterprise or consulting environments.
Hands-on capability across Power Apps (canvas and model-driven), Power Automate, Dataverse, and the Power Platform admin centre.
Proven experience shipping Copilot Studio agents in production.
Experience establishing a low-code Centre of Excellence or equivalent governance framework at scale, including security, compliance, ALM, and platform operating models.
Strong integration background across Azure services, REST APIs, and identity and authentication (Microsoft Entra ID).
Applied ALM and DevOps discipline to low-code delivery, including source control and automated deployment pipelines.
Excellent communication skills with both technical and non-technical stakeholders in regulated environments.

Responsibilities

Define and evolve the target-state architecture for Power Platform and Copilot Studio, including environment strategy, tenant topology, Dataverse data modeling, and solution layering.
Determine and document where low-code ends and pro-code begins, including when to extend with Azure Functions, plug-ins, or PCF components.
Author reference architectures, design patterns, and architecture decision records; take designs through architecture governance forums.
Design agentic AI solutions using Copilot Studio, including agent design, multi-agent orchestration, knowledge grounding and retrieval patterns, and human-in-the-loop workflow automation.
Translate emerging Microsoft AI capabilities into tangible, defensible business value, and advise honestly on where the technology is not yet fit for purpose.
Establish and run a Power Platform covering environment provisioning, DLP policies, connector governance, licensing strategy, and application lifecycle management.
Design the security and compliance model, spanning data residency, Microsoft Purview classification, conditional access, and alignment to the Essential Eight.
Define the ALM pipeline—source control, managed solutions, and automated deployment through Azure DevOps or GitHub Actions.
Establish platform monitoring, cost management, and the pathway for promoting successful citizen-developed applications into production assets.
Design integration architecture across Azure, Microsoft 365, Dynamics 365, and third-party systems using connectors, REST APIs, custom connector patterns, and event-driven designs.
Support solution testing, validation, deployment, and knowledge transfer to operations and support teams.
Produce technical documentation, design artefacts, and operational runbooks aligned with Microsoft recommended practices.
Run maker enablement programs and mentor developers and junior architects.
Advise senior business and IT stakeholders on adoption roadmaps and investment cases.