AI Automation Engineer

Role Title

AI Automation Engineer

Location

Irvine, CA (Onsite – Day 1)

Rate

- $50/hr

Job Description

We are looking for an experienced AI Automation Engineer with strong software engineering skills and hands-on experience in Generative AI, Claude Skills, MCP integrations, and enterprise automation. The candidate will be responsible for developing AI-powered automation solutions, integrating enterprise applications, and automating reporting and reconciliation processes while ensuring data security and governance.

Key Responsibilities

• Build and maintain Claude Skills/Plugins to automate recurring business reporting and operational deliverables.
• Develop automation solutions using Python and/or Node.js/TypeScript.
• Build, deploy, and register Model Context Protocol (MCP) servers.
• Integrate enterprise applications such as Workday, ServiceNow, SharePoint, Microsoft 365, Slack, Jira, and Confluence.
• Automate data extraction, reporting, Excel analysis, and reconciliation processes.
• Develop and maintain AI-powered workflows for organizational reporting, vendor cost analysis, hiring plans, and business intelligence.
• Implement RBAC, data classification, PII handling, and AI governance controls.
• Work with business and executive stakeholders to understand requirements and deliver automation solutions.
• Maintain technical documentation and provide ongoing production support.
• Ensure compliance with internal security, metadata, and CI validation requirements.

Required Skills

• 7+ years of overall experience in software engineering and automation.
• Strong proficiency in Python and/or Node.js/TypeScript.
• Hands-on experience with Claude Code, Claude Skills, or equivalent tools such as OpenAI Codex and Cursor.
• Experience building and deploying MCP servers.
• Knowledge of OAuth, SSO, and enterprise authentication mechanisms.
• Experience integrating enterprise APIs and platforms such as Workday, ServiceNow, Microsoft 365, SharePoint, Slack, Jira, and Confluence.
• Strong Excel automation skills, including formulas, pivot tables, and data reconciliation.
• Understanding of AI governance, data security, PII handling, RBAC, and guardrails.
• Strong communication and problem-solving skills.