Senior Enterprise Platforms & AI Systems Engineer

What you'll do

• Develop and implement strategy for Google Workspace and MS365, including Google Workspace security and Client Side Encryption (CSE).
• Automate user and group management across enterprise platforms and FedRAMP environments.
• Own AI collaboration platforms’ lifecycle and integrate AI systems with enterprise applications using MCP servers and agent frameworks.

What they ask for

• 5+ years of experience within Google Workspace and MS365 admin consoles with scripting experience.
• Experience driving secure AI adoption strategies, including enterprise agent publication policies and AI asset lifecycle governance.
• Experience in agentic development, including data connectors, API integrations, and multi-agent workflows.
• Experience with IAM in FedRAMP-authorized environments, automated provisioning/deprovisioning, RBAC, Jump host security, and ConMon or audit readiness.

Nice to have

• Knowledge of FedRAMP standards including IL2/4/5/6 and collaboration with compliance teams.
• Experience with Google Workspace CSE, user and group onboarding/offboarding automation, and data retention strategies.

Pay

$124,000 — $155,000 USD base salary

Tools

Google Workspace, MS365, Zoom, Lucid, Gemini for Enterprise, Claude Co-Work, Google-managed Model Context Protocol (MCP) servers, Google’s ADK tools

AI focus

Drives AI adoption and governance, manages Gemini for Enterprise and Claude Co-Work, and integrates AI platforms with enterprise applications using MCP servers and agent frameworks.