Principal Engineer - Enterprise Content and AI Data Platform

What you'll do

• Own roadmaps and drive vendor evaluations and build-vs-buy decisions for sensitive-information detection, remediation, and platform capabilities.
• Deliver enterprise data access and governance, including integrations, export-control enforcement, access controls, and audit logging.
• Lead enterprise content integrations for AI agents, align cross-functional teams, and mentor engineers.

What they ask for

• Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
• 15+ years of experience building and operating large-scale enterprise platforms.
• Strong foundation in backend systems, distributed systems, and high-performance computing, including large-scale data processing, indexing pipelines, reliability, and scale.
• Experience with secure API platforms, data connectors, or enterprise SaaS integrations at scale; ability to drive cross-functional alignment.

Nice to have

• Experience with AI/LLM data pipelines, vector stores, or RAG architectures with strict access controls.
• Hands-on Databricks or similar experience in audit logging, data governance, and RBAC; familiarity with Glean or similar products.

Pay

248,000 USD - 391,000 USD (base salary)

Tools

Outlook, Teams, Slack, Confluence, OneDrive, SharePoint, Google Drive, Glean

AI focus

Integrate enterprise content into an AI knowledge platform so agents can consume accurate, current, access-controlled information; AI/LLM data pipelines, vector stores, and RAG are preferred experience.