Copilot & Power Platform Architect

2 days ago

Remote, AmericasSenior

Responsibilities

Design and deliver end-to-end enterprise Power Platform solutions across Power Apps, Power Automate, Dataverse, and Power Pages.
Architect and deploy Copilot Studio agents integrated into business workflows using relevant AI solution patterns.
Define integrations across Microsoft 365, Azure services, and external systems using connectors, APIs, and gateways.
Establish ALM practices including solution packaging, managed solutions, environment strategy, deployment pipelines, and release controls.
Build governance and security frameworks covering environment segmentation, tenant strategy, DLP policies, RBAC, capacity planning, lifecycle management, identity, and responsible AI.
Lead discovery workshops, assess current states, capture requirements, and define target architectures.
Create technical design documents, architecture diagrams, implementation roadmaps, and stakeholder presentations.
Support pre-sales through scoping, estimation, solution design, and technical demonstrations.
Develop internal reference architectures, templates, governance playbooks, reusable patterns, and client enablement materials.

At least 5 years of experience architecting and delivering Microsoft Power Platform solutions in enterprise environments.
Hands-on experience with Copilot Studio and/or Microsoft 365 Copilot, including custom copilots or agents integrated into business processes.
Strong knowledge of Power Platform governance, environment strategy, DLP policies, ALM, and tenant administration.
Experience designing integrations across Microsoft 365, Azure services, and external systems.
Experience leading client-facing consulting engagements, workshops, technical documentation, and stakeholder presentations.
Deep understanding of identity and access management with Entra ID or Azure AD.
Working knowledge of RAG, prompt design, grounding, and evaluation for Copilot implementations.
Ability to explain technical concepts clearly to non-technical audiences.
Preferred qualifications include Microsoft certifications such as PL-600, PL-200, PL-400, or MS-600; Azure AI services experience; exposure to Microsoft Fabric, Databricks, or Synapse; Power BI experience; consulting experience at a Microsoft Partner, systems integrator, or professional services firm; CoE toolkit and enterprise governance experience; compliance framework exposure; and C#, TypeScript, or Python skills.

Client-facing consulting work is approximately 80% client delivery, with approximately 10% internal standards work and 10% pre-sales solutioning.
Occasional travel of approximately 10–20% is required.
The role offers collaboration with data engineers, AI specialists, and delivery leads and opportunities to shape internal standards.

201-500 employees