MS Copilot & Power Platform

KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm

About The Job:

• Experience: 5-7 years
• We are seeking a highly skilled AI Platforms Engineer to drive the integration, scalability, governance, and optimization of enterprise generative AI capabilities across Microsoft Copilot and Google Gemini Enterprise.
• This role goes beyond tool adoption.
• The engineer will design secure platform integrations, build custom connectors, enable enterprise data grounding, manage multi-agent workflows, and ensure AI solutions are context-aware, compliant, and aligned with organizational security boundaries.

Essential Job Functions:
Platform Engineering & Architecture

• Cross-platform orchestration: Design, deploy, and maintain solution architecture for Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Google Workspace, and Vertex AI.
• Custom extensibility: Build and maintain enterprise connectors, plugins, and OpenAPI manifests to integrate AI platforms with proprietary databases, ERPs, and legacy systems.
• Data grounding and retrieval: Design, tune, and scale Retrieval-Augmented Generation pipelines using Microsoft Graph and Google Cloud APIs to deliver accurate, context-aware AI interactions.

• Multi-agent workflows: Design and implement autonomous workflows using frameworks such as Semantic Kernel, Azure AI Agent Service, or custom Python-based orchestration layers.
• Low-code and full-code integration: Connect low-code automations across Power Platform, Power Automate, and Logic Apps with programmatic backend scripts in Python or TypeScript.

• Enterprise guardrails: Enforce AI governance, tenant isolation, and Data Loss Prevention policies across Microsoft Purview and Google Workspace administration.
• Access control: Ensure AI outputs respect enterprise data boundaries, user-level permissions, Microsoft Entra ID, OAuth 2.0, and regional data residency requirements.
• Optimization and observability: Track AI usage, API latency, response quality, and cost trends while building dashboards in Power BI or Looker to optimize licensing and total cost of ownership.

• Responsible for governing Microsoft Power Platform and M365 environments, including security, DLP policies, ALM, and compliance using Microsoft Purview, with hands-on experience using GitHub and CI/CD pipelines to deploy agents and solutions to production.
• Ensures scalable, secure, and well-governed automation through standardized environment and release management.

• Responsible for operationalizing ML and generative AI solutions across the Azure AI ecosystem, including Azure AI Foundry, Azure Monitor, and Application Insights, with hands-on experience using GitHub for CI/CD-driven deployments.
• Ensures reliable, compliant, and cost-efficient AI operations through model and prompt lifecycle management, observability, and responsible AI practices.

Qualifications:
Required Technical Qualifications

• Enterprise AI tooling: 3+ years of hands-on technical experience with Microsoft Copilot Studio, Power Platform, Google Gemini Enterprise, and Vertex AI.
• Core engineering: Strong proficiency in Python or TypeScript for building custom plugins, data ingestion scripts, and integrations with LLM APIs.
• Cloud architecture: Solid understanding of Azure AI Foundry, Azure AI Services, and Google Cloud Platform.
• Data systems: Experience with graph data, embeddings, vector databases, and enterprise content management platforms such as SharePoint, OneDrive, and Google Drive.
• DevOps and CI/CD: Experience establishing continuous integration and deployment pipelines for AI agents, prompt configurations, and platform automation.