Enterprise AI Systems Engineer

📋 Description

• Administer enterprise AI and SaaS platforms, including Claude, Gemini, OpenRouter, Cursor, and
• Build and maintain skills, prompts, projects, connectors, and documentation that improve platform
• Drive adoption across a growing user base while monitoring platform usage and identifying
• Track AI platform consumption and spending, identify idle licenses, and support business-unit
• Monitor platform availability, manage feature rollouts, troubleshoot user issues, and own
• Build and operate Model Context Protocol (MCP) servers and gateways that securely connect AI

🎯 Requirements

• 5+ years of experience in software, cloud, or platform engineering, including recent hands-on
• Experience administering enterprise SaaS or AI platforms at scale, including access management
• Working knowledge of commercial and open-weight LLMs, including prompt engineering, evaluation
• Hands-on experience with Model Context Protocol (MCP), MCP gateways, LLM gateways, or comparable
• Strong experience with AWS and GCP architecture, including IAM, networking, secrets management, and
• Experience with GitHub and modern engineering practices including version control, code review

🎁 Benefits

• Salary range of $126,000–$206,000 USD depending on location and labor market tier.
• Medical, dental, and vision insurance.
• Disability and life insurance.
• Family support, wellness, legal, and employee assistance program benefits.
• 401(k) plan with company matching.
• Equity opportunities and performance-based bonuses.