• Design and maintain the infrastructure required for multi-agent orchestration, ensuring that internal AI agents can securely interact with Reddit’s SaaS stack (Google Workspace, Jira, Slack) • Lead the deployment of AI-enabling infrastructure using Terraform and CI/CD patterns, treating system prompts, model parameters, and agent logic as version-controlled code. • Establish the standard for Non-Human Identity Management, ensuring every AI agent operates under a specific service identity with scoped permissions (RBAC) and loggable interactions • Implement automated LLM guardrails across internal corporate data sources and AI interface points • Secure and curate the catalog of internal MCP servers, preventing prompt injection attacks and ensuring secure execution environments for autonomous tasks. • Manage the "AI Unit Economics" for Corporate Engineering, implementing strategies for visibility into token consumption and spend across multiple platforms. • Collaborate closely with Security Engineering, Legal, Privacy, and Support teams when evaluating software and during technical design phases. • Find and implement internal process and automation enhancements. • Serve as an escalation point for the global Corporate Engineering support operations team. • Help grow and mentor the global Corporate Engineering team. • Independently own and drive multiple projects and deliverables for the team. • Take part in evaluating, recruiting, hiring, and developing team members.