Microsoft Power Platform / Agentic AI Engineer

ZipRecruiter; City Of London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A financial services company is seeking a Microsoft Power Platform / Agentic AI Engineer for a hybrid role based in London. You will be responsible for leading the development of intelligent AI solutions using Microsoft's low-code ecosystem. Key qualifications include strong experience with Power Platform, Microsoft Graph API, and programming skills in Python or C#. This role offers a chance to work on innovative projects in a dynamic environment.

Qualifications

• Strong hands-on experience with Power Platform, including Copilot Studio, Power Automate, and Power Apps.
• Proficiency in Microsoft Graph API and Azure OpenAI.
• Experience with agent-based or GenAI solutions in enterprise environments.

Responsibilities

• Design and build conversational agents using Microsoft Copilot Studio.
• Develop Power Automate flows triggered by AI agents or business events.
• Integrate with Azure AI Search for document understanding.

Skills

Power Platform expertise

Microsoft Graph API proficiency

Programming skills in Python

C# programming skills

Experience with Azure AI Search

Tools

Azure Kubernetes Service (AKS)

GitHub Actions

Azure DevOps

Job description

Overview

My Financial Services client is seeking to recruit a Microsoft Power Platform / Agentic AI Engineer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. You will lead the development of intelligent, enterprise-grade AI solutions using Microsoft's low-code ecosystem.

This role focuses on building Copilot Studio agents, Power Automate workflows, and Power Apps that integrate with enterprise systems and leverage Azure OpenAI, Microsoft Graph, and Azure AI services.

Responsibilities

• Design and build conversational agents using Microsoft Copilot Studio.
• Develop Power Automate flows triggered by AI agents or business events.
• Create Power Apps frontends integrated with GenAI services and enterprise data.
• Build and manage custom connectors to internal APIs and third-party services.
• Architect multi-step agent workflows using Semantic Kernel SDK (C# or Python), Azure OpenAI (GPT-4, function calling, chat completion), Planner and Kernel Memory APIs for reasoning and memory, and RAG pipelines grounded in enterprise data via Azure AI Search.
• Enable agents to access and reason over content in SharePoint, OneDrive, Teams, Outlook, and Planner using Microsoft Graph API to retrieve and manipulate enterprise data.
• Integrate with Azure AI Search (vector indexing, hybrid search) and Azure Form Recognizer for document understanding; use Azure services for summarization, translation, and named entity recognition (NER).
• Deploy solutions using Azure Kubernetes Service (AKS) or Azure Container Apps; manage security with Azure Key Vault, Monitor, RBAC, and Microsoft Entra ID for access control.

Technical Skills & Technologies

• Strong hands-on experience with Power Platform, including Copilot Studio, Power Automate, Power Apps, and custom connectors. SharePoint development experience is a plus.
• Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel.
• Solid programming skills in Python and/or C#.
• Experience with LangChain, AutoGen, or similar orchestration frameworks.
• Experience with Azure AI Search, Form Recognizer, and related services.
• GitHub Actions, CI/CD, and DevSecOps practices.
• Familiarity with Responsible AI frameworks (e.g., NIST AI RMF, ISO/IEC 42001).
• GDPR, data protection, and DLP policies.
• Azure DevOps, ARM/Bicep, or Terraform.
• Proven track record delivering agent-based or GenAI solutions in enterprise or regulated environments.