Senior Power Platform Engineer (AI Platform)

Senior Power Platform Engineer (AI Platform)

Overview

We are building a corporate AI platform that powers products, automates core business processes, and enables new revenue streams—one of the company’s top strategic initiatives.

To accelerate this transformation, we are expanding our AI Engineering team with a Senior Power Platform Engineer who will design and deliver enterprise-grade copilots, agentic systems, and Power Platform solutions integrated with Azure AI services.

This is a highly technical, hands-on role where you will shape engineering patterns, ALM strategy, multi-environment operations, and reusable components that will enable the company’s future AI products.

Project Overview

The AI Platform delivers enterprise-wide capabilities for building AI agents and reusable AI components deeply integrated across the Microsoft ecosystem.

Technology Stack

• Azure Services: Azure AI Foundry, Azure OpenAI, Azure Functions, Azure Service Bus, API Management, Key Vault
• Copilot Studio: Custom & declarative agents, connectors, orchestration
• Power Platform: Power Automate, Power Apps, Dataverse
• Integrations: Microsoft Graph, SharePoint, Dynamics, ERP/CRM systems

Key Initiatives

• Environment provisioning (environment vending)
• ALM automation and CI/CD enablement
• Shared AI component catalog
• Operational monitoring and observability
• API orchestration tooling

Key Responsibilities

• Design, develop, and maintain solutions using Microsoft Copilot Studio (custom and declarative agents)
• Gather and translate business requirements into scalable AI-driven solutions
• Build and maintain custom connectors and API integrations
• Integrate AI agents with enterprise systems (CRM, ERP, Microsoft Graph, SharePoint)
• Develop and optimize prompts, system instructions, and workflows using Azure OpenAI
• Collaborate with cross-functional teams to deliver MVPs and scalable AI solutions
• Troubleshoot, support, and enhance deployed solutions
• Mentor teams on:
• LLM prompting best practices
• Copilot Studio development
• AI governance and secure design

Requirements

Must-Have Skills

Platform & Environment Engineering

• Experience managing Power Platform / Copilot Studio at scale
• Multi-environment setup, governance, DLP, security policies
• ALM practices: managed solutions, environment provisioning, automation
• CI/CD implementation using Azure DevOps, PAC CLI, pipelines

Copilot Studio & Power Platform

• Hands-on experience with:
• Microsoft Copilot Studio (custom & declarative agents)
• Power Automate, Power Apps, Dataverse
• Building custom connectors and integrations

Azure AI & LLM Engineering

• Experience with LLMs:
• Azure OpenAI, OpenAI, Claude, LLaMA
• Strong prompt engineering and system design skills
• Experience integrating AI agents with enterprise workflows

Integration & Backend

• Strong experience with:
• REST APIs
• Azure Functions, Service Bus, API Management
• Programming in .NET and/or Python
• Knowledge of secure enterprise integration patterns

General

• Strong problem-solving and analytical skills
• Ability to design scalable, maintainable solutions
• Ability to work independently
• English proficiency: B2+ or higher

Nice to Have

• Experience with Azure AI Foundry , model catalogs, prompt flows, evaluations
• Familiarity with:
• Microsoft Agents SDK / Framework
• Semantic Kernel
• Experience building reusable platform components
• Mentorship or technical leadership experience (Guild/Chapter leadership)
• Background in large-scale enterprise environments

Why Join This Role

This is a rare opportunity to build cutting-edge generative AI applications within a fast-paced, enterprise-scale environment.

As a Senior Power Platform Engineer, you will:

• Architect and deliver Copilot-driven enterprise automation
• Build agentic workflows and RAG-based copilots used by thousands of users
• Influence platform architecture, standards, and reusable components
• Work hands-on with Azure AI Foundry and Copilot Studio
• Act as a technical leader in a modern AI ecosystem