# AI & Automations Lead

**Company:** [Hopskipdrive](https://hotfix.jobs/companies/hopskipdrive)
**Location:** Remote
**Role:** Other
**Salary:** $120k – $145k/yr
**Experience:** 5+ years
**Skills:** Ai Integrations, Automation Workflows, n8n, Workato, Zapier, Python, Google Apps Script, LLMs, Prompt Engineering, Claude Skills, Mcp Servers, GCP, Secrets Management, IAM
**Posted:** 2026-06-30

> Lead AI and automation initiatives by building shared infrastructure, reviewing and advising on AI builds, partnering to deploy secure solutions, and governing intake processes while managing costs. Requires 5+ years in technical operations with recent hands-on LLM and automation experience.

## Job Description

## Responsibilities
- Build and maintain shared infrastructure including secure web app hosting, MCP/API standards, secret/key management, model selection, guardrails, and a centralized pattern library.
- Own the review, tracking, and advisory process for all corporate AI and automation builds (MCP servers, tool configurations, Claude Skills, API integrations, agentic workflows) before deployment.
- Partner directly with AI specialists across departments to identify, scope, and build AI and automation solutions meeting high standards for cost, security, and scalability.
- Define and maintain the secure intake path for AI and automation requests, replacing ad-hoc builds and shadow IT with a governed, cost-effective, and scalable process.
- Monitor, alert, and set thresholds on AI spend across usage-based tools and platforms to contribute to cost efficiency.

## Requirements
- Minimum 5 years in technical operations, IT, or support roles with emphasis on systems integration, automation, and workflow optimization.
- Practical expertise in constructing or managing automation pipelines, including deployment of LLM integrations or advanced AI tools into existing workflows within the past year.
- Proven track record building and shipping AI integrations and automation workflows using tools such as n8n, Workato, Zapier, or comparable platforms.
- Comfort with Python, Google Apps Script, or similar scripting languages.
- Hands-on experience with large language model tools in a business context including prompt engineering, agent design, Claude Skills, MCP servers, or API integrations.
- Practical understanding of risks such as prompt injection, data exposure, and over-scoped access.
- Familiarity with cloud infrastructure, particularly GCP, including secrets management, IAM fundamentals, and secure-by-default hosting patterns.
- Ability to influence without authority across all levels of the organization.
- Clear, structured communication skills for risk, including writing concise reviews and escalating findings appropriately.

## Nice-to-Haves
- Experience in environments handling children’s data or regulated education data.
- Strong security awareness in building production solutions.

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