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AI Operations & Systems Architect (Job ID: ARSGOL1EA)

Posted 2 hours ago
$2800 - $3200 per month
5-10 years experience
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AI Summary

The role involves mapping and optimizing the end-to-end customer journey by identifying data bottlenecks and building scalable infrastructure. You will be responsible for deploying grounded AI agents and internal tools to support significant growth in loan deal volume.

๐ŸŒŸ Exciting Remote Opportunity! We're Hiring an AI Operations & Systems Architect! ๐ŸŒŸ

Are you an operational builder and AI systems architect who excels at untangling complex funnels, building custom automations, and deploying pragmatic AI agents? We are seeking an AI Operations & Systems Architect based in LATAM or South Africa to sit directly beside the Founder & CEO of a fast-growing, high-volume investment property lending firm!

๐Ÿšจ IMPORTANT - Watch this quick Loom video on how to get hired: ๐Ÿ”— https://www.loom.com/share/345f776084e642ba99c24aabe40a67a0

๐Ÿ—ฃ๏ธ C1 ENGLISH LEVEL IS REQUIRED. The selected candidate will be speaking strictly in English during their whole shift. ๐ŸŽ™๏ธ PLEASE SUBMIT YOUR RESUME AND AUDIO RECORDING IN ENGLISH.

๐Ÿ“‹ Job Details at a Glance

  • Job Title: AI Operations & Systems Architect ("Ops Savage" / AI Systems Builder)

  • Job ID: ARSGOL1EA

  • Industry: Business-Purpose Investment Property Lending (DSCR, RTL, Fix-and-Flip, Bridge)

  • Location: LATAM / South Africa

  • Job Status: Full Time

  • Work Schedule: Monday to Friday, 8:00 AM to 5:00 PM (PST) (Flexible)

  • Salary: $2,800 โ€“ $3,200 USD / month ๐Ÿ’ฐ

  • Target Start Date: ASAP ๐Ÿš€

๐Ÿข About the Client

Our client is a fast-growing, high-volume investment property lending firm specializing in business-purpose real estate loans. Having generated ~$45M in year-to-date loan volume, backend operations are currently capped at 15 deals per month due to manual processes. Leadership has intentionally paused outward marketing to build a scalable operational foundation that can handle 50 deals per month ($100M+ volume) without adding redundant headcount.

๐Ÿ’ผ About the Role

Forget the traditional Executive Assistant or "AI prompter" mental model. You will act as a systems architect and operational implementerโ€”mapping our full customer journey (lead โ†’ sales โ†’ setup โ†’ processing โ†’ closing โ†’ funding), pinpointing where data leaks out, and building the tools, automations, and grounded AI agents that close those gaps.

๐ŸŽฏ Key Responsibilities

  • ๐Ÿ” Days 1โ€“30 Focus (Funnel Visibility): Map the current workflow across sales, processing, and closing; audit CRM/LOS platforms and ad attribution to fix data breakdowns so marketing can safely restart.

  • โš™๏ธ Scalable Operations & Product Building: Redesign infrastructure to support a 3x deal growth (15 to 50 deals/month); prototype internal tools/interfaces using low-code/no-code, APIs, webhooks, and AI-assisted environments (Lovable, Open Code).

  • ๐Ÿง  Company Knowledge Base & "Company Brain": Build a centralized, searchable database of lender guidelines, rate sheets, overlays, and checklists for human staff and AI agents.

  • ๐Ÿ”„ Departmental Optimization & Handoffs: Clean CRM data (Close), automate lead scoring, build sizing/pricing tools, standardize qualification gates between sales/setup/processing, and develop internal condition-clearing copilots.

  • ๐Ÿ“Š Lender Matching & Deal-Health Intelligence: Architect dynamic lender-matching logic (top 3โ€“5 lenders per transaction) and real-time deal-health dashboards to predict closing probability.

  • ๐Ÿค– Pragmatic AI Agent Deployment: Incrementally build and deploy grounded AI agents (intake, guideline research, pricing copilots, condition clearing) with strict human-in-the-loop approvals.

โœ… Qualifications & Skills

โญ Core Requirements:

  • RevOps & Systems Mastery: Proven background in RevOps, CRM architecture (Close, HubSpot, GoHighLevel), and lifecycle workflow design.

  • Technical & AI Capability: Experience connecting systems via APIs, webhooks, and automation engines (Make, n8n); proficient in shipping working tools using AI-assisted development environments (Lovable, Claude, Open Code).

  • Pragmatic Architecture Mindset: Clear framework for "simple automation vs. full AI agent"โ€”prioritizing data quality, security, and cost-efficiency over model hype.

  • Product & Operator Mindset: Ability to take vague founder problems, scope an MVP, build it, ship it, and drive internal adoption independently.

  • Communication & Hours: Native-level English fluency with full availability during US Pacific Time (PST) hours.

๐ŸŒŸ Preferred / Bonus Qualifications:

  • Domain experience in loan origination, real estate finance, or private money lending (metrics like LTV, LTC, LTARV, DSCR, debt yield).

๐Ÿ› ๏ธ Tech Stack Used:

  • Close CRM, GoHighLevel, LendingWise (LOS), Make, Custom APIs/Webhooks, Lovable, Claude, ChatGPT, SendBlue, Google Workspace, Attio.

๐Ÿš€ Submit your application today and take the first step toward your next great opportunity!

๐ŸŒŽ LATAM Candidates: Don't forget to join our exclusive Facebook community for more updates and remote opportunities specifically for LATAM candidates: ๐Ÿ”— Join our LATAM-Only Facebook Group Here!

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