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# Enterprise AI Engineer

- **Company:** Proofpoint
- **Location:** Sunnyvale, CA, United States
- **Salary:** $77,500.0 - $113,630.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Confluence, JIRA, Data Governance, Identity and Access Management, Python (Programming Language), Lightweight Directory Access Protocols (LDAP), Systems Integration, User Provisioning Software, Scripting, Build Management, AI Platforms, Virtual Agents, GPT, Api Management
- **Published:** September 23, 2026
- **Apply:** https://proofpoint.wd5.myworkdayjobs.com/ProofpointCareers/job/Sunnyvale-CA/Enterprise-AI-Engineer_R14789

## About the Role

* Experience with enterprise AI platforms and some level of software or AI agent development
 * Familiarity with identity/access management (LDAP/AD or similar)
 * Scripting ability (Python, bash) for automation and reporting
 * Understanding of data governance, security, and compliance fundamentals
 * Experience with admin consoles, API integrations, or Jira/Confluence administration a plus

## Description

Drive Enterprise AI adoption across the organization by administering, securing, and building on top of major enterprise AI platforms. You'll manage platform operations, build autonomous agentic workflows for corporate functions, and ensure governance, security, and visibility across our AI ecosystem. This role spans hands-on system administration, solutions development, and cross-platform reporting, with exposure to multiple enterprise AI vendors and teams across the company., Platform Administration & Solutions

 * Administer and configure enterprise AI platforms (e.g., Claude, ChatGPT, Gemini) - user provisioning, workspace/console management, integrations
 * Design and build agentic workflows and automation solutions for corporate function use cases
 * Support platform enablement: onboarding, documentation, training materials, internal adoption programs

Governance & Security

 * Manage identity and access controls (provisioning, deprovisioning, role-based permissions)
 * Enforce data governance and security policies across AI platforms
 * Support compliance reviews, vendor security assessments, and risk mitigation

Observability & Reporting

 * Build dashboards and reports tracking usage, spend, and adoption metrics across platforms
 * Monitor platform health, performance, and anomalies
 * Deliver cross-platform reporting to leadership on ROI, utilization, and risk


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