AI Automation Architect: Lead Production AI Workflows

Sagebrook Home

Los Angeles (CA)

On-site

USD 140,000 - 190,000

Full time

7 days ago

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Job summary

Sagebrook Home seeks an AI Automation & Implementation Lead in Los Angeles to own and expand our AI-powered workflows across departments. You will take our existing automation portfolio from discovery to production-grade deployment, integrating with Dynamics NAV/Business Central, Power BI, and MS 365 while training staff and ensuring reliability.

You will work directly with department leaders to identify opportunities, build solutions using Claude, OpenAI, and Python, and drive measurable

Qualifications

Experience implementing AI or automation solutions that employees use in day-to-day business operations.
Hands-on experience with Claude / Claude Code and OpenAI / Codex, including connecting AI capabilities to business systems through APIs.
Strong Python skills. Ability to write, understand, debug, and maintain production code, including AI-generated code.
Working knowledge of REST APIs, SQL, authentication, scheduled jobs, testing, and version control.
Experience integrating with an ERP or accounting system.
Strong business process analysis, project ownership, and communication skills.
Ability to show completed projects and explain their business impact, reliability, and maintenance requirements.

Responsibilities

Take ownership of existing automations. Inherit our current scheduled Python reports, Claude skills, automated email senders, and Power BI queries. Move them to a maintained, version-controlled, and monitored environment with failure alerts, then extend them.
Identify automation opportunities. Observe teams across finance, AR/AP, sales, customer service, purchasing, imports, product development, marketing, ecommerce, and warehouse operations. Document repetitive tasks, bottlenecks, manual handoffs, and common errors.
Prioritize projects based on business value. Maintain an implementation roadmap based on time savings, accuracy improvements, cost, complexity, and data availability. Determine when AI, conventional automation, or a process change is the best solution.
Personally build and deploy workflows. Develop AI agents, document-processing tools, internal applications, and automated processes using Claude and OpenAI APIs, MCP connectors, and custom Python code.
Connect existing business systems. Integrate workflows with Microsoft Dynamics NAV / Business Central, Power BI, Microsoft 365 (Outlook, Excel, SharePoint), Paylocity, and other business applications in coordination with IT.
Make automations reliable. Test against real examples, validate outputs, handle exceptions, prevent duplicate actions, and establish monitoring and recovery procedures.
Establish appropriate controls. Work with IT and department owners to manage data access, protect confidential information, control API spend, and require human approval for consequential actions such as posting to the ERP or sending to customers.
Train employees and drive adoption. Create practical instructions and reusable workflows, conduct hands‑on training for non-technical staff, and improve solutions based on employee feedback.
Own results and ongoing maintenance. Track actual hours saved, error rates, adoption, and operating costs. Maintain documentation and ensure the company can support and modify each solution without depending on any single person.