Infrastructure Engineer – AI Platform

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Take ownership of the deployment and operational management of AI-assisted development tools throughout the engineering department (e.g., Cursor, Copilot, Claude Code).

• Establish and enforce access controls, license management, and usage policies that comply with SOC2/ISO 27001 standards.

• Create cost tracking and reporting mechanisms to provide leadership with insights into AI tool expenditures and usage trends across the organization.

• Minimize barriers for engineers in adopting these tools while ensuring security and auditability are upheld.

• Collaborate with various teams within the organization to identify, develop, and support internal AI applications, such as RAG pipelines, agents, and automation workflows.

• Assess and recommend tools, frameworks, and patterns based on the actual needs of the teams.

• Clearly define the boundaries of responsibility between IaaS and the consuming teams.

• Provide guidance on data governance policies for LLM usage, including which data can be input into which models, where outputs are stored, and how audit trails are maintained.

• Ensure that AI infrastructure and tools adhere to existing SOC2 and ISO 27001 controls, with evidence available for audits.

• Deliver clear and regular reporting to leadership regarding AI adoption, costs, risks, and usage throughout the organization.

• Establish and manage AI/ML infrastructure, primarily on GCP (Vertex AI), within OpenVPN’s current environment.

• Design Terraform modules and IaC patterns for AI infrastructure that align with the team's established conventions (e.g., Atlantis-driven GitOps workflows).

• Provide visibility into AI/ML infrastructure costs and implement controls that are consistent with how compute costs are managed in other areas.

• Analyze build-versus-buy decisions for AI/ML infrastructure components and managed services, focusing on operational compatibility with existing patterns.

⛳️ Requirements

• Proven hands-on experience in establishing and managing AI/ML infrastructure, such as Vertex AI or similar platforms (SageMaker, Azure ML).

• Experience in setting up AI developer tools (Cursor, Copilot, etc.) at an organizational level, including management of rollout, access, and costs.

• Proficiency in infrastructure-as-code, with Terraform as the primary tool managed through Atlantis; you should be capable of writing modules that other teams can utilize through self-service.

• Ability to collaborate across teams and define boundaries for new capability areas that lack established patterns.

• Strong communication skills to articulate the cost, risk, and value of AI investments to leadership effectively.

🏝️ Benefits

• Competitive pay rates.

• Fully remote work environments.

• Self-managed time off.

• Team trips and special events.