AI-Powered Power Platform Developer

Saffery Champness

Greater London

Hybrid

GBP 65,000 - 90,000

Full time

9 hours ago
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Job summary

Saffery LLP is seeking a skilled Power Platform and AI solution developer to design, build, and maintain enterprise-grade applications. The role emphasizes secure, scalable, and governable AI-enabled solutions within the Microsoft Cloud ecosystem, collaborating with stakeholders across the business and IT teams.

You will modify and extend Power Apps, automate processes with Power Automate, and integrate Dataverse data and external systems while adhering to ALM and governance standards.

Qualifications

  • Experience building applications with Power Apps and Power Automate.
  • Exposure to AI agents or intelligent applications.
  • Familiarity with Microsoft 365, Azure fundamentals and security basics.
  • Structured SDLC experience including ALM, testing, release management.
  • Ability to work independently and with stakeholders.
  • Degree in a related field or equivalent practical experience.

Responsibilities

  • Develop, enhance, and support Power Platform applications and AI solutions.
  • Create cloud flows with Power Automate and automate RPA tasks.
  • Integrate data sources, APIs, and Dataverse models.
  • Ensure governance, security, and responsible AI practices.
  • Collaborate with stakeholders and document solutions.
  • Provide guidance and support to teams.

Skills

Power Apps
Power Automate
AI agents
Azure AI services
ALM/DevOps
Security basics

Education

Related degree

Tools

Copilot Studio
Agent Builder
Azure Foundry
Azure DevOps

Job description

Saffery LLP is seeking a skilled Power Platform and AI solution developer to design, build, and maintain enterprise-grade applications. The role emphasizes secure, scalable, and governable AI-enabled solutions within the Microsoft Cloud ecosystem, collaborating with stakeholders across the business and IT teams.

You will modify and extend Power Apps, automate processes with Power Automate, and integrate Dataverse data and external systems while adhering to ALM and governance standards.

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