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Role Overview

Implement DLP, MIP, retention, Sensitivity Labels, and secure configuration.
Administer and operationalize enterprise LLM platforms (Copilot, Gemini, ChatGPT Enterprise, Claude).
Develop connectors, automations, and reusable patterns for AI and M365 workloads.
Troubleshoot permission issues, data routing, and cross workspace access.
Provide hands on engineering for data governance enforcement.

Requirements

Strong coding/scripting skills (PowerShell, Python, Graph queries)
Hands on M365 administration (SharePoint, Teams, Exchange, OneDrive)
Experience integrating and managing enterprise Generative AI platforms
Knowledge of prompt patterns, AI safety, and enterprise AI control mechanisms
Strong understanding of enterprise security and least privilege access
Ability to translate policy into automated technical enforcement.

Tech Stack

Python

Benefits

Remote
Approximately a 8 Month Contract

Precision Solutions

Open Positions (1)

Engineering

M365/GenAI Engineer