Job descriptionOpenVPN is building out AI tooling across the organization, but the infrastructure, governance, andoperational patterns around it don't exist yet. This is a greenfield ownership role. You won't be inheritinga playbook — you'll be writing it.

You'll define the architectural standards, establish the governanceframeworks, and build the platform layer from the ground up: developer tooling, internal AI-poweredworkflows, and the cloud infrastructure (Vertex AI, etc.) that supports it all. If it touches AI at OpenVPN, itruns through you.What You’ll OwnAI Developer Tooling & Enablement• Own the rollout and operational management of AI-assisted development tools across engineering(e.g., Cursor, Copilot, Claude Code)• Define and implement access controls, license management, and usage policies that satisfySOC2/ISO 27001 requirements• Build cost tracking and reporting so leadership has visibility into AI tool spend and usage patternsacross the org• Reduce friction for engineers adopting these tools while maintaining security and auditabilityInternal AI-Powered Workflows• Partner with teams across the org to identify, build, and support internal AI applications such asRAG pipelines, agents, and automation workflows• Evaluate and recommend tooling, frameworks, and patterns based on what teams actually need• Define where IaaS’s responsibility ends and consuming teams’ begins – this boundary doesn’texist yet; you’ll help draw itGovernance, Security & Compliance• Advise on data governance policies for LLM usage, including what data can go into which models,where outputs are stored, and how audit trails are maintained• Ensure AI infrastructure and tooling meets existing SOC2 and ISO 27001 controls and can beevidenced in audits• Provide leadership with clear, regular reporting on AI adoption, cost, risk, and usage across theorgAI/ML Cloud Infrastructure• Stand up and manage AI/ML infrastructure, primarily on GCP (Vertex AI) within OpenVPN’sexisting environment• Design the Terraform modules and IaC patterns for AI infrastructure that follow the team’s existingconventions (e.g., Atlantis-driven GitOps workflows)Cost Management• Build visibility into AI/ML infrastructure costs and implement controls (spot instances, auto-scalingpolicies, idle resource cleanup) c