AI DevOps Specialist (AI Enablement & Secure DevOps)

Job summary

The AI DevOps Specialist is responsible for the technical deployment, secure enablement, administration, and continuous optimization of a global AI sandbox and software engineering toolchains. Key responsibilities include managing Google Cloud Platform services, deploying user interfaces like LibreChat, and ensuring secure access to AI coding assistants while overseeing budget governance and compliance with data sovereignty policies.

Qualifications

• 4+ years of hands-on experience in DevOps, Cloud Engineering, or System Administration
• at least 2 years focused specifically on AI/MLOps platform delivery

Responsibilities

• Own the deployment and lifecycle management of the HPS AI Sandbox environment
• Deploy, configure, and maintain LibreChat
• Establish and configure Flowise AI or Gemini Enterprise Agent Platform
• Administer model deployment, model endpoint configurations, and vector databases
• Oversee the HPS-designated GCP AI projects
• Coordinate the provisioning and scale-out of advanced foundational models
• Ensure developer command-line interfaces and local development terminals communicate with cloud model endpoints
• Diagnose and resolve intermittent connection issues
• Partner with Network Security to define, test, and troubleshoot Zscaler ZTNA app connectors
• Work alongside DevOps administrators to embed automated vulnerability checks
• Design and implement rigid budget monitoring, consumption alerts, and cost-attribution controls
• Develop weekly/monthly utilization dashboards
• Enforce enterprise policies ensuring that no proprietary hardware schematics are ingested into public training models
• Support the isolation of the HPS Innovation Lab

Skills

Certifications

Degrees

Relocation