Job VC
Senior Power Platform Engineer / Solution Engineer (IRC295653)
Technologies
Description
Job Description
Required:
Strong hands-on experience with:
- Power Automate
- Dataverse
- Power Platform environments and solution management
- Microsoft Teams integrations
- Copilot Studio integrations
Experience deploying enterprise Power Platform solutions
Strong understanding of:
- Power Platform ALM
- environment strategy
- managed/unmanaged solutions
- security roles and governance
Experience integrating APIs and external services
Familiarity with Azure and Microsoft 365 ecosystem
Strong troubleshooting/debugging capability Ability to work in fast-moving prototype-to-production environments
Nice to have:
Azure Functions or custom connectors
Power Apps experience CI/CD for Power Platform
Experience distributing and managing enterprise agents inside Microsoft Teams
Familiarity with AI/agent workflows Healthcare or regulated industry experience
Job Responsibilities
Responsibilities Design and maintain Dataverse schemas and relational data models
Build and maintain Power Automate workflows
Implement integrations between Copilot Studio agents and enterprise systems
Manage deployment, environments, solution packaging, and release processes
Configure security roles, permissions, and governance within Power Platform
Support distribution and rollout of agents across Microsoft Teams and Microsoft 365 environments
Optimize reliability, observability, and maintainability of workflows
Build reusable automation components and integration patterns
Troubleshoot production workflow and connector issues
Collaborate closely with AI/product leadership to operationalize new agent experiences
Department/Project Description
We are looking for an experienced
Microsoft Power Platform
engineer to help operationalize AIdriven workflows built with Copilot Studio. This role is focused less on prompt engineering and agent design, and more on the underlying platform architecture, workflow automation, data modeling, integrations, deployment, and enterprise rollout needed to bring AI agents into production. The ideal candidate understands how to turn prototypes into reliable enterprise solutions
Required:
Strong hands-on experience with:
- Power Automate
- Dataverse
- Power Platform environments and solution management
- Microsoft Teams integrations
- Copilot Studio integrations
Experience deploying enterprise Power Platform solutions
Strong understanding of:
- Power Platform ALM
- environment strategy
- managed/unmanaged solutions
- security roles and governance
Experience integrating APIs and external services
Familiarity with Azure and Microsoft 365 ecosystem
Strong troubleshooting/debugging capability Ability to work in fast-moving prototype-to-production environments
Nice to have:
Azure Functions or custom connectors
Power Apps experience CI/CD for Power Platform
Experience distributing and managing enterprise agents inside Microsoft Teams
Familiarity with AI/agent workflows Healthcare or regulated industry experience
Job Responsibilities
Responsibilities Design and maintain Dataverse schemas and relational data models
Build and maintain Power Automate workflows
Implement integrations between Copilot Studio agents and enterprise systems
Manage deployment, environments, solution packaging, and release processes
Configure security roles, permissions, and governance within Power Platform
Support distribution and rollout of agents across Microsoft Teams and Microsoft 365 environments
Optimize reliability, observability, and maintainability of workflows
Build reusable automation components and integration patterns
Troubleshoot production workflow and connector issues
Collaborate closely with AI/product leadership to operationalize new agent experiences
Department/Project Description
We are looking for an experienced
Microsoft Power Platform
engineer to help operationalize AIdriven workflows built with Copilot Studio. This role is focused less on prompt engineering and agent design, and more on the underlying platform architecture, workflow automation, data modeling, integrations, deployment, and enterprise rollout needed to bring AI agents into production. The ideal candidate understands how to turn prototypes into reliable enterprise solutions