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OpenVPN® helps businesses of all sizes create secure, virtualized, reliable networks that scale with your team.
AI Platform Engineer
Location
Arizona + 15 moreAll locations: Arizona | California | Colorado | Florida | Nevada | New Jersey | New York | Ohio | Oregon | Maryland | Michigan | Minnesota | Texas | Utah | Virginia | Washington
Posted
95 days ago
Salary
$140K - $150K / year
Seniority
Senior
Job Description
AI Platform Engineer
OpenVPN Inc.
• 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 satisfy SOC2/ISO 27001 requirements • Build cost tracking and reporting so leadership has visibility into AI tool spend and usage patterns across the org • Reduce friction for engineers adopting these tools while maintaining security and auditability • Partner with teams across the org to identify, build, and support internal AI applications such as RAG 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’t exist yet; you’ll help draw it • 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 be evidenced in audits • Provide leadership with clear, regular reporting on AI adoption, cost, risk, and usage across the org • Stand up and manage AI/ML infrastructure, primarily on GCP (Vertex AI) within OpenVPN’s existing environment • Design the Terraform modules and IaC patterns for AI infrastructure that follow the team’s existing conventions (e.g., Atlantis-driven GitOps workflows) • Build visibility into AI/ML infrastructure costs and implement controls (spot instances, auto-scaling policies, idle resource cleanup) consistent with how compute costs are managed elsewhere • Evaluate build-vs-buy decisions for AI/ML infrastructure components and managed services with an eye toward operational fit within existing patterns
Job Requirements
- Hands-on experience standing up and managing AI/ML infrastructure such as Vertex AI, or comparable platforms (SageMaker, Azure ML)
- Has set up AI developer tooling (Cursor, Copilot, etc.) at an org level, including managing rollout, access, and cost
- Infrastructure-as-code fluency: Terraform is our primary tool, managed through Atlantis. You should be able to write modules that other teams consume through self-service
- Ability to work across teams and define boundaries for a new capability area that doesn’t have established patterns yet
- Can communicate clearly with leadership about cost, risk, and value of AI investments
Benefits
- Competitive compensation that reflects your skills and contributions
- Generous time off opportunities to recharge and enjoy life outside of work
- Flexible scheduling to support work‑life balance
- Fully remote work environment — work from anywhere you’re most productive
- Global collaboration with talented colleagues in Silicon Valley and around the world
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